An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving | Paper Citation Record

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This paper cites Applications of diaLogic System in Individual and Team-based Problem Solving Applications.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Applications of diaLogic System in Individual and Team-based Problem Solving Applications

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This paper cites Using Speech Data to Automatically Charac- terize Team Effectiveness to Optimize Power Distribution in Internet- of-Things Applications.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Using Speech Data to Automatically Charac- terize Team Effectiveness to Optimize Power Distribution in Internet- of-Things Applications

Reference 2

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Observation 6ac12a7f-5304-4eab-be7b-c1f89c3a4ade · outbound

This paper cites Studying Consensus and Disagreement during Problem Solving in Teams through Learning and Response Generation Agents Model.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Studying Consensus and Disagreement during Problem Solving in Teams through Learning and Response Generation Agents Model

Reference 3

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This paper cites A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving A novel agent-based, evolutionary model for expressing the dynamics of creative open-problem solving in small groups

Reference 4

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This paper cites Modeling Group Creativity as the Evolution of Community-level.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Modeling Group Creativity as the Evolution of Community-level

Reference 5

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This paper cites Understanding the Significance of Mid-Tier Research Teams in Idea Flow through a Community.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Understanding the Significance of Mid-Tier Research Teams in Idea Flow through a Community

Reference 6

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This paper cites Combining Informetrics and Trend Analysis to Understand Past and Current Directions in Electronic Design Automa- tion.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Combining Informetrics and Trend Analysis to Understand Past and Current Directions in Electronic Design Automa- tion

Reference 7

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Observation 2e2a12ca-5adb-4773-a2bf-4b9a3d9b9b14 · outbound

This paper cites Towards Insightful Automated Dialog for Therapy through Top-down/Bottom-up Response Generation.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Towards Insightful Automated Dialog for Therapy through Top-down/Bottom-up Response Generation

Reference 8

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Observation 2d6b15fb-9bab-4d49-9e66-921d629772aa · outbound

This paper cites Toward an understanding of macrocognition in teams: Pre- dicting processes in complex collaborative contexts.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Toward an understanding of macrocognition in teams: Pre- dicting processes in complex collaborative contexts

Reference 9

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Observation 060029fe-02c7-4d4e-bdf8-2f8c5c0e1eee · outbound

This paper cites Towards a generalized competency model of collaborative problem solving.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Towards a generalized competency model of collaborative problem solving

Reference 10

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Observation 9a5b5dc0-5fdf-43da-812f-e85ccb57acd4 · outbound

This paper cites How the group affects the mind: A cognitive model of idea generation in groups.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving How the group affects the mind: A cognitive model of idea generation in groups

Reference 11

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Observation 4b14adb9-9972-4851-8d10-44dbf075a27d · outbound

This paper cites Understanding team learning dynamics over time.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Understanding team learning dynamics over time

Reference 12

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Observation 80180f3f-c055-4793-85c8-4c5cb3e22dea · outbound

This paper cites Problem-solving phase transitions during team collaboration.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Problem-solving phase transitions during team collaboration

Reference 13

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Observation 01554114-bb32-4dda-99d8-bbb2a6212e8e · outbound

This paper cites Team learning: Collectively connecting the dots.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Team learning: Collectively connecting the dots

Reference 14

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Observation a4de5a54-f9a8-41e2-8521-fa52f6165898 · outbound

This paper cites Cognitive processes in well- defined and ill-defined problem solving.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Cognitive processes in well- defined and ill-defined problem solving

Reference 15

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Observation 75408f73-a294-4d47-9545-ced392c41f33 · outbound

This paper cites Modeling semantic knowledge structures for creative problem solving: Studies on expressing concepts, categories, associations, goals and context.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Modeling semantic knowledge structures for creative problem solving: Studies on expressing concepts, categories, associations, goals and context

Reference 16

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Observation 6cb7e9ce-5fb1-4b2d-9aa7-e7de3df671a6 · outbound

This paper cites The role of precedents in increasing creativity during iterative design of electronic embedded systems.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving The role of precedents in increasing creativity during iterative design of electronic embedded systems

Reference 17

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Observation 8ef5fbfa-8823-40b4-8402-b082bd51843d · outbound

This paper cites Not too much, not too little: The influence of constraints on creative problem solving.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Not too much, not too little: The influence of constraints on creative problem solving

Reference 18

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Observation 386d1d53-a198-40bb-94ed-8b2d508627f1 · outbound

This paper cites Temporal construal effects on abstract and concrete thinking: Consequences for insight and creative cognition.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Temporal construal effects on abstract and concrete thinking: Consequences for insight and creative cognition

Reference 19

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Observation 8a259b8e-8053-4d50-84e5-a529d6aeefa8 · outbound

This paper cites Psychological safety and learning behavior in work teams.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Psychological safety and learning behavior in work teams

Reference 20

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Observation ba9d9c07-66e0-4b4c-a46f-bdd4194c34b6 · outbound

This paper cites What do you mean by collaborative learning?.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving What do you mean by collaborative learning?

Reference 21

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This paper cites The use of environmental clues during incubation.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving The use of environmental clues during incubation

Reference 22

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Observation 978cc570-470a-47b0-8924-6d904faa4c9f · outbound

This paper cites Climates and cultures for innovation and creativity at work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Climates and cultures for innovation and creativity at work

Reference 23

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Observation eab1f725-ef5a-4cf8-a673-bc27a98e00db · outbound

This paper cites Problem Framing Activities Carried Out by Student Design Teams to Enhance Creativity: Comparative Analysis of High and Low Creative Teams.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Problem Framing Activities Carried Out by Student Design Teams to Enhance Creativity: Comparative Analysis of High and Low Creative Teams

Reference 24

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This paper cites All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects

Reference 25

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This paper cites The framing effect and risky decisions: Examining cognitive functions with fMRI.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving The framing effect and risky decisions: Examining cognitive functions with fMRI

Reference 26

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Observation 70a9ee0a-6db4-4e4f-981b-9aa5fc9c5787 · outbound

This paper cites Problem frame patterns: an exploration of patterns in the problem space.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Problem frame patterns: an exploration of patterns in the problem space

Reference 27

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This paper cites Two Minds, One Dialog: Coordinating Speaking and Understanding.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Two Minds, One Dialog: Coordinating Speaking and Understanding

Reference 28

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This paper cites Systematic Methodology for Design- ing Reconfigurable Delta Sigma Modulator Topologies for Multimode Communication Systems.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Systematic Methodology for Design- ing Reconfigurable Delta Sigma Modulator Topologies for Multimode Communication Systems

Reference 29

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This paper cites High-Level Synthesis of Delta-Sigma Modu- lators Optimized for Complexity, Sensitivity and Power Consumption.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving High-Level Synthesis of Delta-Sigma Modu- lators Optimized for Complexity, Sensitivity and Power Consumption

Reference 30

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This paper cites Learning and Memory. An Integrated Approach.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Learning and Memory. An Integrated Approach

Reference 31

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This paper cites Pragmatics in Analogical Mapping.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Pragmatics in Analogical Mapping

Reference 32

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This paper cites Design, analogy, and creativity.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Design, analogy, and creativity

Reference 33

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This paper cites Cap- turing scientists’ insight from dddas.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Cap- turing scientists’ insight from dddas

Reference 34

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This paper cites How scientists think: On-line creativity and conceptual change in science. Conceptual Structures and Processes: Emergence, discovery, and change.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving How scientists think: On-line creativity and conceptual change in science. Conceptual Structures and Processes: Emergence, discovery, and change

Reference 35

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This paper cites Creative foraging: An experimental paradigm for study- ing exploration and discovery.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Creative foraging: An experimental paradigm for study- ing exploration and discovery

Reference 36

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An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving The design of divide and conquer algorithms

Reference 37

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This paper cites Evocation and elaboration of solutions: Different types of problem-solving actions. An empirical study on the design of an aerospace artifact.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Evocation and elaboration of solutions: Different types of problem-solving actions. An empirical study on the design of an aerospace artifact

Reference 38

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This paper cites Designing web sites: opportunistic actions and cognitive effort of lay-designers.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Designing web sites: opportunistic actions and cognitive effort of lay-designers

Reference 39

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This paper cites Efficient creativity: Constraint-guided con- ceptual combination.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Efficient creativity: Constraint-guided con- ceptual combination

Reference 40

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This paper cites Relations versus properties in concept combination. Journal of Memory and Language.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Relations versus properties in concept combination. Journal of Memory and Language

Reference 41

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This paper cites Effects of problem scope and creativity instructions on idea generation and selection.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Effects of problem scope and creativity instructions on idea generation and selection

Reference 42

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This paper cites Methodologies for examining problem solving success and failure.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Methodologies for examining problem solving success and failure

Reference 43

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This paper cites Critical Thinking Assessment in Engineer- ing Education: A Scopus-Based Literature Review.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Critical Thinking Assessment in Engineer- ing Education: A Scopus-Based Literature Review

Reference 44

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Observation 759b482c-6eca-4b14-9b89-f0ffef6ada9e · outbound

This paper cites MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving MCD: A Model-Agnostic Counterfactual Search Method For Multi-modal Design Modifications

Reference 45

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Observation bc6cbdb5-a11a-4143-adac-b5acbe38cca1 · outbound

This paper cites VisiFit: Structuring Iterative Improvement for Novice Designers.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving VisiFit: Structuring Iterative Improvement for Novice Designers

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.909096Z

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Observation 2707fb7e-7888-49c8-8530-26a7f0c01c1d · outbound

This paper cites Mental fixation and metacognitive predic- tions of insight in creative problem solving.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Mental fixation and metacognitive predic- tions of insight in creative problem solving

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.895626Z

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Observation 94c98da4-a7e8-48b3-b227-90b9ec74220e · outbound

This paper cites Effects of task instructions and brief breaks on brainstorming.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Effects of task instructions and brief breaks on brainstorming

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.881292Z

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Observation f67507c6-97a9-4026-bb0b-f0d213aa5536 · outbound

This paper cites Categorization and representation of physics problems by experts and novices.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Categorization and representation of physics problems by experts and novices

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.866110Z

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Observation 318dec8a-0f0d-45d1-90fe-67639df641c2 · outbound

This paper cites Social Neuroscience: People Thinking about Thinking People.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Social Neuroscience: People Thinking about Thinking People

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.851628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6b2025f4-9e13-4438-a231-bc5172d9927d · outbound

This paper cites Conflict across representational gaps: Threats to and opportunities for improved communication.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Conflict across representational gaps: Threats to and opportunities for improved communication

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.836362Z

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Observation ba37f0a8-a129-431c-bf96-8caf9bbb4a7d · outbound

This paper cites Joint Action: Mental Representations, Shared Information and General Mechanisms for Coordinating with Others.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Joint Action: Mental Representations, Shared Information and General Mechanisms for Coordinating with Others

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.820746Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fad0abbf-860a-4bec-999d-6f3eeb2b97a2 · outbound

This paper cites Social yet creative: The role of social relationships in facilitating individual creativity.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Social yet creative: The role of social relationships in facilitating individual creativity

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.806054Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1bcfedb6-92af-4d35-bf6f-7a50e129a0ac · outbound

This paper cites Making group brainstorming more effective: Recommendations from an associative memory perspective.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Making group brainstorming more effective: Recommendations from an associative memory perspective

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.792217Z

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Observation b12c4eb5-3e46-4bdb-a39c-e1bd3f2dee48 · outbound

This paper cites Psychological safety, trust, and learning in organizations: A group-level lens. Trust and distrust in organizations: Dilemmas and approaches.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Psychological safety, trust, and learning in organizations: A group-level lens. Trust and distrust in organizations: Dilemmas and approaches

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.777627Z

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Observation 5ba241d6-d64f-455e-91e3-9d75e148b4f3 · outbound

This paper cites Recognizing devel- opers’ emotions while programming.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Recognizing devel- opers’ emotions while programming

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.763067Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85ccd927-03f0-47bd-a2cc-da2dd27c8f06 · outbound

This paper cites Negative affective environments improve com- plex solving performance.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Negative affective environments improve com- plex solving performance

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.739654Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 10760aa5-b40d-4c24-8130-b4879ab0cc52 · outbound

This paper cites Exploring Causes of Frustration for Software Developers.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Exploring Causes of Frustration for Software Developers

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.704270Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dd7a2b9c-067f-42fa-8c95-e930f7c7730b · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.666135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ee7f64a-c451-4faa-9f7b-94a8a0a50d83 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.649994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64c03ef0-9c88-4e63-972c-53b4ce86b1b9 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.634281Z

Source-reported events for the cited work

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Observation dca87000-a709-4a1d-b477-72c63ae75712 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.602881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3490fb26-05af-4eb4-985f-9304bde70f63 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.587246Z

Source-reported events for the cited work

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Observation 383a91a9-5206-498b-bf5e-e99bdeacff91 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.571930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e098edfd-bca1-460c-8f9c-29f17121942d · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.619263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9e0ce951-0759-495c-9c26-ce887532bc4a · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.556816Z

Source-reported events for the cited work

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Observation a2e6bf0f-0e87-43fd-8e51-e6281df88146 · outbound

This paper cites Multimodal expressive embodied conversa- tional agents.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Multimodal expressive embodied conversa- tional agents

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.541219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7301c30e-c37a-4285-9259-dce0820db26c · outbound

This paper cites Zooming on Multimodality and Attuning. A Multilayer Model for the Analysis of the V ocal Act in Conversational In- teractions.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Zooming on Multimodality and Attuning. A Multilayer Model for the Analysis of the V ocal Act in Conversational In- teractions

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.504650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0e81fd55-fe8f-4e23-833a-aaa325117076 · outbound

This paper cites A Stacked Multi- Layered Perceptron - LLM Model for Extracting the Relations in Textual Descriptions.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving A Stacked Multi- Layered Perceptron - LLM Model for Extracting the Relations in Textual Descriptions

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.475152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbd18a57-c0fb-4b34-844e-dec65f220a5c · outbound

This paper cites Towards Semantic Classification: An Experimental Study on Automated Understanding of the Meaning of Verbal Utterances.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Towards Semantic Classification: An Experimental Study on Automated Understanding of the Meaning of Verbal Utterances

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.456828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 95b1f423-834f-4c8d-9eec-00701f55e070 · outbound

This paper cites T., Godfrey, J.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving T., Godfrey, J

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.442461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a465aafb-4710-43e7-93d8-4de73f7ada0b · outbound

This paper cites Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T04:44:40.807994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a3ed98d-9352-4419-a412-216d992ef461 · outbound

This paper cites & Suleman, K.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving & Suleman, K

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.427382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 373a0b20-3c28-4f58-a91e-212273028299 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.412965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4438e7f1-8035-4265-984b-c0e52206217c · outbound

This paper cites H., Tseng, B.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving H., Tseng, B

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.396686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 791665d0-5cdb-4dc8-bd36-b6ac350e41e8 · outbound

This paper cites S., Hoi, S.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving S., Hoi, S

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.379245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 676f94c2-4034-4707-93c0-3d6ac6a41e45 · outbound

This paper cites [Online].

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving [Online]

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.364166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 756793be-6baa-41e8-a20d-2e1e48231136 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.348468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df012027-dbf0-4c0f-ae7e-831cea1199e8 · outbound

This paper cites Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T04:44:40.839515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2840e336-47c3-4921-9376-97208d615510 · outbound

This paper cites & Xue, N.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving & Xue, N

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.334319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6891c6b8-2303-4f81-9387-255233b458c5 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.320781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c7a7c285-b5de-4f4c-a9b8-9c0f662794c3 · outbound

This paper cites & Weber, F.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving & Weber, F

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.306766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5d06a07-ae7e-4e36-be5c-b6ad14b92b8e · outbound

This paper cites H., Wu, S.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving H., Wu, S

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.292280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation abe0948a-3962-44ca-bab9-b163d309be39 · outbound

This paper cites & Toutanova, K.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving & Toutanova, K

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.278076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4baa1ecd-4333-4fac-91df-0a4ca85a36e4 · outbound

This paper cites Speech Model Pre-training for End-to-End Spoken Language Understanding.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Speech Model Pre-training for End-to-End Spoken Language Understanding

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T04:44:40.867977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc11d81-3684-4b5f-97ef-8044020e0805 · outbound

This paper cites VoxCeleb: a large-scale speaker identification dataset.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving VoxCeleb: a large-scale speaker identification dataset

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T04:44:40.872981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a5ea5eb-3b76-44fe-b43c-dae8a3af0609 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.263212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 88714745-1d91-4fcf-b684-0f63f69a7d2f · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.248884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 111f9f7d-3fdd-401f-a9f1-3f33a447ade3 · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-11T04:44:40.886567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db47aeab-f279-4b88-90c3-920104961963 · outbound

This paper cites & Dupoux, E.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving & Dupoux, E

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.234021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f05929f-b2ec-4393-a509-402b6a8aa444 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.219449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18930852-22dc-416d-94ff-c5373a4476d8 · outbound

This paper cites & Wellner, P.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving & Wellner, P

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:44:41.205467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3579b17e-dbe5-4810-9c97-eab5f7db3b7c · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.191628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 076edf09-5e37-4e98-8ac6-0280fa263782 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.177662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d8f04de4-7ffd-4c92-94ff-53048e8cdb22 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.161615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c21b8af-2638-44c5-be97-0311a06a17d6 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.144697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ecf52ad-1235-4b90-bc08-775733c2c9e3 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.128861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8cdbf409-5295-4a87-8722-45c43463a577 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.112903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 74a747b4-48e2-42f6-83d7-6aa1dbbbd9e7 · outbound

This paper cites an unresolved cited work.

An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving Unresolved cited work

Reference 100

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:44:41.097256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers