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Paper Citation Record · LEDGER

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2501.16112.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.16112 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:45:29.101247Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy48
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8155bb11-5963-4aac-8621-4f55b02d2667 · outbound

This paper cites Get- ting more out of biomedical documents with GATE’s full lifecycle open source text analytics.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Get- ting more out of biomedical documents with GATE’s full lifecycle open source text analytics

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.968881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.897354Z digest=sha256:f3e2fd6a594eeb9fd7bbaf30dc82dbdb2acd3ba108af2279c28c31506dbd35c0

Observation 7b6a1f37-b541-4b5b-91db-48c90d1ff655 · outbound

This paper cites Gudivada and Kamyar Arbabifard.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Gudivada and Kamyar Arbabifard

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.957834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.901744Z digest=sha256:16c96681d6ee50c4dac14fbb1fe783218bac145afdf73132e9e9062f932df666

Observation e4278cc2-afe7-4f3d-8f5b-e03fc7d959ad · outbound

This paper cites Mayo clinical Text Anal- ysis and Knowledge Extraction System (cTAKES): architecture, component evalu- ation and applications.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Mayo clinical Text Anal- ysis and Knowledge Extraction System (cTAKES): architecture, component evalu- ation and applications

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.947534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.905241Z digest=sha256:7d01461869d2844ee18f154dc6896c810b5b32c2cf9412378dc73ad8f5f20c5e

Observation 3aa758e0-96fc-4b15-be12-5ce137f89f37 · outbound

This paper cites Feature extraction method from electronic health records in Russia.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Feature extraction method from electronic health records in Russia

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.936515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.909112Z digest=sha256:8adc9b8917e614bac6b702b7ccda6175b77ccdf8826035c266c1f04f04710035

Observation ddafc74d-c36f-47ae-8eb9-bc8bd7511ad1 · outbound

This paper cites Med-BERT: A Pre- Training Framework for Medical Records Named Entity Recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Med-BERT: A Pre- Training Framework for Medical Records Named Entity Recognition

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.925823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.913320Z digest=sha256:50b23f6a4118c3a3d212e67c017caea467b922a56d07e6c214a948b1354049f9

Observation 228fb33d-ab57-4cc3-b523-36673d010c37 · outbound

This paper cites Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem:.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Emerging Named Entity Recognition in a Medical Knowledge Management Ecosystem:

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.914871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.917716Z digest=sha256:10ab1cabbf1224377c26461162ede31cc00fcf6413f8696deb4fd10019aa0178

Observation 9fdd6244-8b27-4a16-88af-38c9adecac1b · outbound

This paper cites The dark side of information: overload, anxiety and other paradoxes and pathologies.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools The dark side of information: overload, anxiety and other paradoxes and pathologies

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.904114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.921635Z digest=sha256:8e99dfe8bcee3abd7a642095ca811b475ac7e10be72b0a44c6f6fc7fcca3f2ec

Observation cbaf1a66-208c-479a-8696-201d29b169aa · outbound

This paper cites Clinical practice guidelines we can trust.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Clinical practice guidelines we can trust

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.882750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.929511Z digest=sha256:73a58f99855f2b6e71b71a22582d42ada02c3d81ff689063f90729b66b3c4260

Observation feda6e34-b15d-47f4-9287-1b498cc03cd5 · outbound

This paper cites Valika, Sarah E.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Valika, Sarah E

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.872279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.933257Z digest=sha256:a788e8e00d8d546594f81643b69108f92f8509f690f355f5602766302696261a

Observation 86635e43-4851-4769-b12c-4db2080aed3d · outbound

This paper cites Towards improving clinical practice guidelines through named entity recognition: Model development and eval- uation.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Towards improving clinical practice guidelines through named entity recognition: Model development and eval- uation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.862726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.936984Z digest=sha256:d10c18273f742b190be23307070356c6473426ae1d15fba904c59380cb619aaf

Observation 047260c0-6ede-408c-97e8-0ca93cfeb0cc · outbound

This paper cites Named entity recognition with a maximum en- tropy approach.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Named entity recognition with a maximum en- tropy approach

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.852035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.940361Z digest=sha256:2485abb36c6e2ddcccd6dc94927bf112ca68e460c5a244258f55248e6e6c9605

Observation a4f91a57-3f39-4198-be85-4592a49ee97c · outbound

This paper cites Named entity recog- nition through classifier combination.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Named entity recog- nition through classifier combination

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.841456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.944262Z digest=sha256:0c17e6e9656def6cde947e4625539c82edb23fdbbccff302a026b7408966666f

Observation 20be6cf8-3ae2-4524-b890-738a6ef6fe50 · outbound

This paper cites Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Early results for named entity recognition with conditional random fields, feature induction and web-enhanced lexicons

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.831234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.947851Z digest=sha256:6984230b9520c8c682078b2efbdfd72650c54f25da71a20fe282260964b61908

Observation adeb7543-272f-4d14-9c7d-8b58828d4543 · outbound

This paper cites Deep contextualized word representations.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Deep contextualized word representations

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:28.951605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:28.951605Z digest=sha256:7fc89ea279687df73d8585d992565c758d21063ad46de097b5649c531d83e148

Observation 8c7c94e9-9682-43e4-939e-a7d1a9ed915a · outbound

This paper cites Named entity recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Named entity recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.821065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.955475Z digest=sha256:31919ba2dda70ddbf04a80cd86514dfdcfb16989e941f529b2da3b671e99e9c7

Observation afd6d47c-2eba-4c31-a312-d292095f6cff · outbound

This paper cites A Survey on Deep Learning for Named Entity Recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A Survey on Deep Learning for Named Entity Recognition

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.810242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.958925Z digest=sha256:b82b824a9597c17894ca0ec3f5c9b60fbf786db40beee945feb971e2289f6252

Observation 909076de-d3fc-423a-a6cb-18d7724e191c · outbound

This paper cites Classification of Machine Learning Algorithms.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Classification of Machine Learning Algorithms

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.799801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.962285Z digest=sha256:edade8d486538f05f1c87f273bc89c0ea4bd779e2bf3fe435c79523275ef9aa8

Observation 80c96eec-1acf-41c9-8da0-29bc1ad8410f · outbound

This paper cites A systematic review of natural language process- ing applied to radiology reports.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A systematic review of natural language process- ing applied to radiology reports

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.789416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.965636Z digest=sha256:d0ffb96bef9427b0213d0c397bbb5d680bf3f556f3c1c9cd19dafba58260dd50

Observation 227e3cc3-4639-4492-98e6-534f7e4df095 · outbound

This paper cites RATIO: Rationalizing Recommendations (RecomRatio), 2017.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools RATIO: Rationalizing Recommendations (RecomRatio), 2017

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.779483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.969016Z digest=sha256:063623a1450c8a493b7698acec98eb6072159ebfc77d65706ad826a36fd91d2b

Observation 47031e6b-73a0-4e3d-875b-9efd9e0db9ad · outbound

This paper cites Supporting Information Retrieval of Emerging Knowledge and Argumentation.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Supporting Information Retrieval of Emerging Knowledge and Argumentation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.769133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.972584Z digest=sha256:3659a4136931a1ef4b0902434a8b99954640e30aee999413515e26f15e90c3ea

Observation 4177ffae-57b4-4364-ace7-60545a2fc5fd · outbound

This paper cites Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T13:45:29.439509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.975651Z digest=sha256:873f73ea113505f8f5e4ff06f9af34f1942126e800495eb7f6513ceb69f50441

Observation fab2146f-2ba8-4a55-bb31-6302515142e6 · outbound

This paper cites Artificial Intelligence for Hospitals, Healthcare & Humanity (AI4H3).

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Artificial Intelligence for Hospitals, Healthcare & Humanity (AI4H3)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.758711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.979466Z digest=sha256:e02d25c0f509fccaf5be2e80c5885bd005225266587228fb922517f8b9ccd9e7

Observation 2916de7c-0a76-4f15-a35c-b17621347cf6 · outbound

This paper cites Cie: A cloud-based information extraction system for named entity recognition in aws, azure, and medical domain.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cie: A cloud-based information extraction system for named entity recognition in aws, azure, and medical domain

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.748158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.983334Z digest=sha256:0779dae2f682e88c6940cdc3b4ad06c1feddbc7754ad0708293c231e3cd35fb4

Observation e1039286-7735-44e9-a202-bdcbee71e8fc · outbound

This paper cites FIT4NER - Towards a Framework-Independent Toolkit for Named Entity Recogni- tion.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools FIT4NER - Towards a Framework-Independent Toolkit for Named Entity Recogni- tion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.737068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.986824Z digest=sha256:576354445dd4d0e34d1167b7e039911551e5b4b8fdfc5688ea7f9d21a2f4b3a7

Observation 47e61478-a4e6-48eb-928a-e64a9e74cfad · outbound

This paper cites A Replicable Comparison Study of NER Software: StanfordNLP, NLTK, OpenNLP, SpaCy, Gate.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A Replicable Comparison Study of NER Software: StanfordNLP, NLTK, OpenNLP, SpaCy, Gate

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.726361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.990494Z digest=sha256:445180998acdc46086d686eb5104a9f628522061584780dca02b70f7913d2f07

Observation 357d071b-a29d-4e10-9e1f-958e1a532011 · outbound

This paper cites Bench- marking NLP Toolkits for Enterprise Application.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Bench- marking NLP Toolkits for Enterprise Application

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.715741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.994062Z digest=sha256:9d7112fb1a638c2e56be48edb421782829fd39bf44b1ccade3ea742cb5a09628

Observation 71b9d972-2fb8-4b20-9e7f-ce4f070bf7d5 · outbound

This paper cites Cloud Computing – Issues, Research and Implementations.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cloud Computing – Issues, Research and Implementations

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.704983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.997774Z digest=sha256:554e7e51c417cc8d5bc8d3b9268c4904f131e74c7c9742db2c3b1fedcbc301de

Observation 41674ce3-713b-4087-b843-9edc98dedc2b · outbound

This paper cites Cost-Aware Elastic Cloud Provisioning for Scientific Workloads.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cost-Aware Elastic Cloud Provisioning for Scientific Workloads

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.694558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.001592Z digest=sha256:04f317fb4b42b377667d1467a7643ab53cab75aa41e485f5aac6322d43aeacc9

Observation 3345e5da-875f-4bd4-a274-977fd8dad57b · outbound

This paper cites Nunamaker Jr, Minder Chen, and Titus D.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Nunamaker Jr, Minder Chen, and Titus D

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.005499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.005499Z digest=sha256:bfc0e667390ea917ab4963750d699b09d08d2a71c26a4eec5735cb3e08485acc

Observation 1bc43418-9c0b-448a-a379-f0d4b2e611ee · outbound

This paper cites A survey on Named Entity Recognition — datasets, tools, and methodologies.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools A survey on Named Entity Recognition — datasets, tools, and methodologies

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.683973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.009103Z digest=sha256:cf7efdc7e8ab7b709e92f7a16855ff788bf2703c4f48f405c99b1cb1fe2b0d67

Observation 59c8ffc7-0298-4c20-aed8-8e35d2fa9962 · outbound

This paper cites Bruce Croft.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Bruce Croft

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.672709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.012512Z digest=sha256:df99868a74fa53c22bb81eb64eab037e0d56f3cd518f9f79bf7502cf92c43a7f

Observation ac1ac8fc-9763-48e1-9fd9-6c0cd9f0e319 · outbound

This paper cites An Approach for Ex- tracting Exact Answers to Question Answering (QA) System for English Sentences.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools An Approach for Ex- tracting Exact Answers to Question Answering (QA) System for English Sentences

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.662033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.016020Z digest=sha256:786e799cebc29082830410a789b86fd5a90c6851dc424de8de7b72c216fd35c1

Observation cc3b9290-0e5b-441d-80a7-203845e8f827 · outbound

This paper cites Transliteration normalization for information ex- traction and machine translation.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Transliteration normalization for information ex- traction and machine translation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.651652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.019762Z digest=sha256:90717b6b04332d536d7e5fb8517563a3fe8fc231a8e7e18daeb1e3fa0dea4318

Observation 6e61fea9-53f3-4f8d-9bff-7d9065b78930 · outbound

This paper cites Weakly labeled data augmentation for social media named entity recognition.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Weakly labeled data augmentation for social media named entity recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.641013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.023348Z digest=sha256:abd5d48020e7f163972d048a210c4d8ce0d7515898071547dad34fa7a63dc569

Observation edecb656-db8a-4bfc-a31c-f1b52993a9a3 · outbound

This paper cites Clinical named entity recognition methods: an overview.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Clinical named entity recognition methods: an overview

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.630088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.027074Z digest=sha256:73455994044b29e468dcacc76991b3bee0bf7d38fcb5feb70e44e91c462c92fb

Observation 6d1224ea-b076-433e-8c8d-b1bff0feeaf9 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.030785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.030785Z digest=sha256:5bb4babf678fad4118dfba24b4a4aaf604e9702391cf0698895c7ebf862d5163

Observation 1e1b1a4f-5143-4678-ae7f-2eb5af728b82 · outbound

This paper cites Language models are unsupervised multitask learners.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Language models are unsupervised multitask learners

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.619978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.035227Z digest=sha256:13c7bc9541c05ad3200a6508b5694ad8ec129763ea7a16d6c658ad49d041d13e

Observation 6b1e43c8-9700-4331-b267-00f17da62ebd · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.039089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.039089Z digest=sha256:5483f10373decb9462efffe19ccdf8f0f36351eba63372961751f6990894f257

Observation fe3697a0-391c-411e-98ca-5531dae1e10e · outbound

This paper cites Cloud-based system design.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cloud-based system design

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.610036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.042954Z digest=sha256:2750961fbf0688c42d801b5172ab91b6514fcfd83fd7bb6803b50c522279f5a3

Observation 07965a98-0015-48c2-a8fc-9deb5d1803ed · outbound

This paper cites Cloud Computing: Today and Tomorrow.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Cloud Computing: Today and Tomorrow

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.600055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.046646Z digest=sha256:dd41f8d13b898998caf4f2edcac29ad731a88bfd3aff3c26d7c0e5288270d4fa

Observation e76d12a5-938b-4f49-9cc3-92d4ee206037 · outbound

This paper cites Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms:.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Towards a Privacy Compliant Cloud Architecture for Natural Language Processing Platforms:

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.589348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.050423Z digest=sha256:b14c442826baabc503f48d20b7a474e9d9ba3409df504512952cfb78bd3a20b2

Observation 97b666e6-cdfb-4bd4-b34e-e7ccfbca1434 · outbound

This paper cites Comparing the per- formance of different NLP toolkits in formal and social media text.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Comparing the per- formance of different NLP toolkits in formal and social media text

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.579545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.053885Z digest=sha256:e603e4976e58905ac5a6aba962377fd386cc1b9b7b4fecfc179adcecfa4804af

Observation 4914df46-b0e8-4d76-a2ce-f862b505e77b · outbound

This paper cites Choosing an NLP Library for Analyzing Software Documentation: A Systematic Literature Review and a Series of Experiments.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Choosing an NLP Library for Analyzing Software Documentation: A Systematic Literature Review and a Series of Experiments

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.569251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.057271Z digest=sha256:3d7142c06bf6b112b86900fa65104d7edc6306e7b33fdde6af5df06cbd281861

Observation 1ba7ffff-ddd5-41c5-a029-f640ef83081a · outbound

This paper cites Ensemble Named Entity Recognition (NER): Evaluating NER Tools in the Identification of Place Names in Historical Corpora.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Ensemble Named Entity Recognition (NER): Evaluating NER Tools in the Identification of Place Names in Historical Corpora

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.558537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.060979Z digest=sha256:6dcbd5daa6d970c7db149861b53cc0fd89947b8295c9b7eeb706c66fc27319a9

Observation 4056c157-8a92-4d72-8108-2c4c0d3b1b32 · outbound

This paper cites Comparing open ara- bic named entity recognition tools, 2022.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Comparing open ara- bic named entity recognition tools, 2022

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.546468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.064803Z digest=sha256:1c0826ef06904df079b7f8c4b2f32652cd44de89f10fa9580dd1840c9e92f96e

Observation 38c658d5-8841-4cd2-bc22-54df697ee5e8 · outbound

This paper cites Soft- ware Engineering for Machine Learning: A Case Study.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Soft- ware Engineering for Machine Learning: A Case Study

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.534917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.068545Z digest=sha256:b24adcc15321a04e81b1cf5785020e78d9a03a8bc7e8d73d28f91ead80e1feae

Observation 769a7961-c605-4f6f-bb84-e12ab08c0e61 · outbound

This paper cites Important Experimentation Characteristics: An Expert Survey.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Important Experimentation Characteristics: An Expert Survey

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.525109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.072546Z digest=sha256:aad60cf860ad88ca1c40b60b6dd110910ef1c7c2abd9860ad7bf4b1511513bb0

Observation a301aad0-c573-46b1-b9b3-df9b769dff30 · outbound

This paper cites Designing an Effective Survey.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Designing an Effective Survey

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.515061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.076210Z digest=sha256:54a583703d4142bc44f1c2d8ad66af2f3b5296f94340ca951539e9850dfb4ecd

Observation 194b9a24-5fcf-470a-bfc8-5e875dc6e070 · outbound

This paper cites An expert survey to assess the current status and future challenges of energy system analysis.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools An expert survey to assess the current status and future challenges of energy system analysis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.503810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.079784Z digest=sha256:59572f6352bd371f36e01c6f0bc74927a7282964f1f0c3c47c140c6d9108b8de

Observation 459d6e0f-e6cd-4db6-8423-785b518f6fe2 · outbound

This paper cites Relating verification and validation methods to software product quality characteristics: Re- sults of an expert survey.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Relating verification and validation methods to software product quality characteristics: Re- sults of an expert survey

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.493056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.083333Z digest=sha256:07739066df4c48d43b770ab790ba325bdc596d040be174918a9b2bd56f5e81c7

Observation 7b11b1d0-0b55-4230-8c41-ee69188b221d · outbound

This paper cites Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Introduction to Transformers for NLP: With the Hugging Face Library and Models to Solve Problems

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.482327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.086728Z digest=sha256:6e44b9f7924c182ed0868d5441d6ec3c70a0fe8c720733ddd4613e820a925a64

Observation 41579018-4eca-470d-8ac6-ae91d4bc18ae · outbound

This paper cites GPT-4 Technical Report, March 2024.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools GPT-4 Technical Report, March 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.471704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.090500Z digest=sha256:80961ce7fbd0c6215ec1b62ffeab74a14e0fe2e9c8b5715c0bd7f24fe2dc6381

Observation e4d5bd3e-5ef7-49d4-8db7-a9e5793e3c6c · outbound

This paper cites Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Comprehensive Overview of Named Entity Recognition: Models, Domain-Specific Applications and Challenges

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.093919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.093919Z digest=sha256:c8dd8dffac89b6dc584283bff1479d359a9e5be7491a9ae574d51a29895795b4

Observation f7396aad-d4a1-4313-8db5-be8c60389d66 · outbound

This paper cites Kurdi, Safwat Hamad, and Amal Khalifa.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Kurdi, Safwat Hamad, and Amal Khalifa

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:45:29.461128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:29.097671Z digest=sha256:ce6ca0b3c9874650f3713c289fbc224b06a5128d3a9546f26d465abcab90367c

Observation 1613169f-98ae-438e-af36-84fdf6a5723a · outbound

This paper cites FinGPT: Open-Source Financial Large Language Models, June 2023.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools FinGPT: Open-Source Financial Large Language Models, June 2023

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T13:45:29.101247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:45:29.101247Z digest=sha256:8dbc176fb775e3e3334dac28ea5058831d5029f3f5990c284a863f82f40fd1af

Observation d8b83970-1f1c-4aff-891e-98c1bb656110 · outbound

This paper cites an unresolved cited work.

Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools Unresolved cited work

Reference 2009

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:45:29.892886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:45:28.925295Z digest=sha256:5342b8961c899675f0931ee8e64c393ebce270c414d0d53f78e78b994954e5df

Pith citing papers

No inbound Pith citation observations are available.