Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects | Paper Citation Record

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This paper cites Irony and use-mention distinction,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Irony and use-mention distinction,

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This paper cites The functions of sarcastic irony in speech,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects The functions of sarcastic irony in speech,

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Brown and S

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This paper cites Jocularity, sarcasm, and relation- ships: An empirical study,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Jocularity, sarcasm, and relation- ships: An empirical study,

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This paper cites On irony and negation,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects On irony and negation,

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This paper cites Exploring the process of inference generation in sar- casm: A review of normal and clinical studies,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Exploring the process of inference generation in sar- casm: A review of normal and clinical studies,

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This paper cites Logic and conversation,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Logic and conversation,

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This paper cites Test of the mention theory of irony,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Test of the mention theory of irony,

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This paper cites Understanding social dysfunction in the behavioural variant of frontotemporal dementia: The role of emotion and sarcasm processing,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Understanding social dysfunction in the behavioural variant of frontotemporal dementia: The role of emotion and sarcasm processing,

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This paper cites Teaching children with autism to detect and respond to sarcasm,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Teaching children with autism to detect and respond to sarcasm,

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This paper cites Lower, slower, louder: V ocal cues of sarcasm,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Lower, slower, louder: V ocal cues of sarcasm,

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This paper cites Acoustic markers of sarcasm in cantonese and english,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Acoustic markers of sarcasm in cantonese and english,

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This paper cites V oice modulations in german ironic speech,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects V oice modulations in german ironic speech,

Reference 13

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This paper cites Prosodic cues of sarcastic speech in french: Slower, higher, wider,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Prosodic cues of sarcastic speech in french: Slower, higher, wider,

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This paper cites ‘yeah right’: Sarcasm recognition for spoken dialogue systems,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects ‘yeah right’: Sarcasm recognition for spoken dialogue systems,

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This paper cites ‘sure, i did the right thing’: A system for sarcasm detection in speech,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects ‘sure, i did the right thing’: A system for sarcasm detection in speech,

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This paper cites Automatic sarcasm detection: A survey,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Automatic sarcasm detection: A survey,

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This paper cites Sarcasm identification in textual data: Systematic review, research challenges and open directions,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Sarcasm identification in textual data: Systematic review, research challenges and open directions,

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This paper cites Literature survey of sarcasm detection,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Literature survey of sarcasm detection,

Reference 19

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This paper cites Pre- ferred reporting items for systematic reviews and meta-analyses: The prisma statement,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Pre- ferred reporting items for systematic reviews and meta-analyses: The prisma statement,

Reference 20

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This paper cites Towards multimodal sarcasm detection (an obviously perfect paper),.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Towards multimodal sarcasm detection (an obviously perfect paper),

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This paper cites IITKGP-SEHSC: Hindi speech corpus for emotion analysis,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects IITKGP-SEHSC: Hindi speech corpus for emotion analysis,

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This paper cites Multi-modal sarcasm detection and humor classification in code-mixed conversa- tions,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Multi-modal sarcasm detection and humor classification in code-mixed conversa- tions,

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This paper cites ¡Qu´e maravilla! multimodal sarcasm detection in spanish: A dataset and a baseline,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects ¡Qu´e maravilla! multimodal sarcasm detection in spanish: A dataset and a baseline,

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This paper cites CMMA: Benchmarking multi-affection detection in Chinese multi-modal conversations,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects CMMA: Benchmarking multi-affection detection in Chinese multi-modal conversations,

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This paper cites Deep learning for acous- tic irony classification in spontaneous speech,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Deep learning for acous- tic irony classification in spontaneous speech,

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This paper cites Sentiment and emotion help sarcasm? a multi-task learning framework for multi- modal sarcasm, sentiment, and emotion analysis,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Sentiment and emotion help sarcasm? a multi-task learning framework for multi- modal sarcasm, sentiment, and emotion analysis,

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This paper cites An emoji-aware multitask framework for multimodal sarcasm detection,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects An emoji-aware multitask framework for multimodal sarcasm detection,

Reference 28

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This paper cites A multimodal corpus for emotion recognition in sarcasm,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects A multimodal corpus for emotion recognition in sarcasm,

Reference 29

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This paper cites MELD: A multimodal multi-party dataset for emotion recognition in conversations,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects MELD: A multimodal multi-party dataset for emotion recognition in conversations,

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This paper cites Which contextual and socio- cultural information predict irony perception?.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Which contextual and socio- cultural information predict irony perception?

Reference 31

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This paper cites Verbal irony as implicit display of ironic environment: Distinguishing ironic utterances from nonirony,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Verbal irony as implicit display of ironic environment: Distinguishing ironic utterances from nonirony,

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This paper cites How about another piece of pie: The allusional pretense theory of discourse irony,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects How about another piece of pie: The allusional pretense theory of discourse irony,

Reference 33

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects The exposure advantage: Early exposure to a multilingual environment promotes effective communication,

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Modeling incongruity between modalities for multimodal sarcasm detection,

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects The coding strategy for the mandarin speech conveying sarcasm in acoustic and articulatory domain,

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Detecting vocal irony,

Reference 37

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Emotional vocal expressions recognition using the cost 2102 italian database of emotional speech,

Reference 38

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Emotion recognition in speech using machine learning techniques,

Reference 39

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Humor knowledge enriched transformer for understanding multimodal humor,

Reference 40

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Measuring nominal scale agreement among many raters,

Reference 41

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Deep cnn-based inductive trans- fer learning for sarcasm detection in speech,

Reference 42

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Emotion recognition of speech,

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Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Characterization of emotions using the dynamics of prosodic features,

Reference 44

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This paper cites Understanding sarcasm in speech using mel-frequency cepstral coefficient,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Understanding sarcasm in speech using mel-frequency cepstral coefficient,

Reference 45

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This paper cites The interspeech 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects The interspeech 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism,

Reference 46

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This paper cites Multi-modal sarcasm detection based on contrastive attention mechanism,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Multi-modal sarcasm detection based on contrastive attention mechanism,

Reference 47

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This paper cites Multimodal sarcasm detection: A deep learning approach,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Multimodal sarcasm detection: A deep learning approach,

Reference 48

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This paper cites A multimodal fusion method for sarcasm detection based on late fusion,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects A multimodal fusion method for sarcasm detection based on late fusion,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.130785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e07794bf-4094-44cc-b53f-ce35d072e1a8 · outbound

This paper cites EFAFN: An efficient feature adaptive fusion network with facial feature for multimodal sarcasm detection,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects EFAFN: An efficient feature adaptive fusion network with facial feature for multimodal sarcasm detection,

Reference 50

Resolution: verified exact; doi, observed 2026-08-05T05:59:46.250023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0c9176b9-c6c9-4fe5-8df0-6ad64aaf40ab · outbound

This paper cites Multimodal learning using optimal transport for sarcasm and humor detection,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Multimodal learning using optimal transport for sarcasm and humor detection,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.117744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 664413f9-ac4a-468d-8601-f78a05d17724 · outbound

This paper cites Multimodal sarcasm detection (MSD) in videos using deep learning models,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Multimodal sarcasm detection (MSD) in videos using deep learning models,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.104069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d1dcf35a-93ec-4208-94b6-988ebc5606eb · outbound

This paper cites Multi- modal sarcasm detection method using rnn and cnn,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Multi- modal sarcasm detection method using rnn and cnn,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.091089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b7de52fc-6c20-448c-86ce-ac8b3af1e162 · outbound

This paper cites An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects An attention-based, context-aware multimodal fusion method for sarcasm detection using inter-modality inconsistency,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.078249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87a106d5-344f-445b-be0d-0afb1adecebd · outbound

This paper cites A smart video analytical frame- work for sarcasm detection using novel adaptive fusion network and sarcasnet-99 model,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects A smart video analytical frame- work for sarcasm detection using novel adaptive fusion network and sarcasnet-99 model,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.065476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6de28a9d-ea80-437c-ada7-36e1e3a2032d · outbound

This paper cites V oice-based sarcasm detection in kannada language,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects V oice-based sarcasm detection in kannada language,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.051907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 957202cc-6309-4e0c-9744-7c3e1c4fea26 · outbound

This paper cites Sarcasm detection using cognitive features of visual data by learning model,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Sarcasm detection using cognitive features of visual data by learning model,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.037111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 763b0e12-83cb-46a1-ab48-695dd3fd54c1 · outbound

This paper cites Cnn architectures for large-scale audio classifi- cation,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Cnn architectures for large-scale audio classifi- cation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.024320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d771537b-a2c6-47c1-a28c-ebd09d8b7912 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:47.010969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7519ac67-714e-4cef-9f11-0ec09fdaf6aa · outbound

This paper cites A multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects A multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.997944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 87b75242-46d9-4aa9-b8ff-f9401c60ecff · outbound

This paper cites Attention is all you need,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Attention is all you need,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.984621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 79f3bc02-9dd9-47e0-8c22-10367547033d · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:45.937237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5029be-b6f3-45ea-a5b4-1e3fcbc9dcff · outbound

This paper cites PRAAT, a system for doing phonetics by computer,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects PRAAT, a system for doing phonetics by computer,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.971034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba390e06-48e8-4bfd-a5a8-bf7a2551643b · outbound

This paper cites OpenSMILE: The munich versatile and fast open-source audio feature extractor,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects OpenSMILE: The munich versatile and fast open-source audio feature extractor,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.957857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba70d975-c7b2-4fee-8eef-06b70309ab63 · outbound

This paper cites Librosa: Audio and music signal analysis in python,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Librosa: Audio and music signal analysis in python,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:45.949008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ba96a2-8d06-4312-8d1d-15a82fc2ab4d · outbound

This paper cites CO- V AREP: A collaborative voice analysis repository for speech tech- nologies,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects CO- V AREP: A collaborative voice analysis repository for speech tech- nologies,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.944427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4b7309ca-2c56-4dd1-be76-4952ef5ed9a8 · outbound

This paper cites BERT: Pre- training of deep bidirectional transformers for language understanding,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects BERT: Pre- training of deep bidirectional transformers for language understanding,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.930311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e4c1eb02-0ac7-4b09-9df2-395d3e56864c · outbound

This paper cites A quantum probability driven frame- work for joint multi-modal sarcasm, sentiment and emotion analysis,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects A quantum probability driven frame- work for joint multi-modal sarcasm, sentiment and emotion analysis,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.915836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 14ebd27a-0c94-48a3-924b-b86764fbb10d · outbound

This paper cites Learning multitask commonness and uniqueness for multimodal sarcasm detection and sentiment analysis in conversation,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Learning multitask commonness and uniqueness for multimodal sarcasm detection and sentiment analysis in conversation,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.902535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5c28d8f9-2dc6-4b4c-bc7d-abe87ad5796e · outbound

This paper cites Improving sarcasm detection from speech and text through attention-based fusion exploiting the interplay of emotions and sentiments,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Improving sarcasm detection from speech and text through attention-based fusion exploiting the interplay of emotions and sentiments,

Reference 70

Resolution: verified exact; doi, observed 2026-08-05T05:59:46.228000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2019a1a2-32b4-4d84-9697-a6f8eaefc308 · outbound

This paper cites BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.888620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 153a74ea-ce9d-4966-ae98-c4e78653e136 · outbound

This paper cites Your tone speaks louder than your face! modality order infused multi-modal sarcasm detection,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Your tone speaks louder than your face! modality order infused multi-modal sarcasm detection,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.874766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dcf7b97-23c3-4f0d-8f1b-87372da1fe7c · outbound

This paper cites Quantum fuzzy neural network for multimodal sentiment and sarcasm detection,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Quantum fuzzy neural network for multimodal sentiment and sarcasm detection,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.860921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 947eba8e-c399-49a8-8e55-c3a9e8cb4524 · outbound

This paper cites Deep residual learning for image recognition,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Deep residual learning for image recognition,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:45.983277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f847cb-28c5-42a4-b40c-4e1954f49414 · outbound

This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects EfficientNet: Rethinking model scaling for convolutional neural networks,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.838035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba7a43a0-0b96-4fac-b4ae-7f855c14d337 · outbound

This paper cites Joint face detection and alignment using multi-task cascaded convolutional networks,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Joint face detection and alignment using multi-task cascaded convolutional networks,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.824860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2be434be-aba2-4c46-b560-8948367dc285 · outbound

This paper cites Openface 2.0: Facial behavior analysis toolkit,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Openface 2.0: Facial behavior analysis toolkit,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.811629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4191a013-3c70-4f1a-9c03-a32cc4e5c308 · outbound

This paper cites Quo vadis, action recognition? a new model and the kinetics dataset,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Quo vadis, action recognition? a new model and the kinetics dataset,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.798635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 64c298e5-603d-4bcd-802d-4d836518ee6d · outbound

This paper cites Multimodal markers of irony and sarcasm,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Multimodal markers of irony and sarcasm,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.785731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b4e800a-7cc6-4d96-9d74-6caaf37ffc78 · outbound

This paper cites Verbal irony use in face-to-face and computer-mediated conversations,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Verbal irony use in face-to-face and computer-mediated conversations,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.772702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 339a40bc-bb95-44f6-8dd8-761f076237a5 · outbound

This paper cites Effects of emotional intelligence on the impression of irony created by the mismatch between verbal and nonverbal cues,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Effects of emotional intelligence on the impression of irony created by the mismatch between verbal and nonverbal cues,

Reference 81

Resolution: verified exact; doi, observed 2026-08-05T05:59:46.214208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0926bf4-3b1e-438e-b05d-211f34a49947 · outbound

This paper cites Deep multimodal data fusion,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Deep multimodal data fusion,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.757081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8b69b9bb-e788-4352-a174-26b9a60978b3 · outbound

This paper cites an unresolved cited work.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-05T05:59:46.742336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c7c4d6f4-11b5-412c-b4e9-a35d4fd37bee · outbound

This paper cites Quantifying heterogeneity in a meta-analysis,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Quantifying heterogeneity in a meta-analysis,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.727589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 86e173d8-4e52-44ea-b0e8-194cdacaa8a8 · outbound

This paper cites Meta-analysis in clinical trials,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Meta-analysis in clinical trials,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.713418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0da43448-9129-4408-9cc6-2311d1b2d110 · outbound

This paper cites The cost 2102 italian audio and video emotional database,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects The cost 2102 italian audio and video emotional database,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.699599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 27101956-18ac-4020-a02b-6d67f4ba4c08 · outbound

This paper cites Sarcasm, pretense, and the semantics/pragmatics distinc- tion,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Sarcasm, pretense, and the semantics/pragmatics distinc- tion,

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.686371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd4b531d-ff86-4633-9208-3d60002a27ff · outbound

This paper cites WavLM: Large-scale self-supervised pre-training for full stack speech processing,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects WavLM: Large-scale self-supervised pre-training for full stack speech processing,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.670953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba4c3bfc-57a1-4308-890f-a399a7700789 · outbound

This paper cites SpeechLM: Enhanced speech pre-training with unpaired textual data,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects SpeechLM: Enhanced speech pre-training with unpaired textual data,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.656996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5cfd4790-e825-4804-981f-702941b8faa0 · outbound

This paper cites Adapting WavLM for speech emotion recognition,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Adapting WavLM for speech emotion recognition,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.644316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3712bdcf-106d-42eb-a7bb-6c62f4e9c2d9 · outbound

This paper cites GPT-4 Technical Report.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects GPT-4 Technical Report

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:46.046981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e363d83c-1250-4b7a-836c-dc055abc6bf3 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects LLaMA: Open and Efficient Foundation Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:46.051401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15bd0e52-85d4-4162-9cb2-5ceb46f62b70 · outbound

This paper cites SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:46.055424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ef12ac-da3b-4b5f-9ba8-600ad5f80c7c · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Learning Transferable Visual Models From Natural Language Supervision

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-05T05:59:46.059253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba6b348-45a0-42b8-9be2-7da29a59e050 · outbound

This paper cites Paraverbal expression of verbal irony: V ocal cues matter and facial cues even more,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Paraverbal expression of verbal irony: V ocal cues matter and facial cues even more,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.630490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 08c7cc5c-e739-49bf-898d-b10edcd90e70 · outbound

This paper cites Tracking nonliteral language processing using audiovisual scenarios,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Tracking nonliteral language processing using audiovisual scenarios,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.616616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8fc2c1d6-f115-4d75-b1e0-098c18d6b2db · outbound

This paper cites The role of auditory and visual cues in the interpretation of mandarin ironic speech,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects The role of auditory and visual cues in the interpretation of mandarin ironic speech,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.601636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f7670644-715d-4364-af1c-7700be8ac1ae · outbound

This paper cites Modality matters: Testing bilingual irony comprehension in the textual, auditory, and audio-visual modality,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Modality matters: Testing bilingual irony comprehension in the textual, auditory, and audio-visual modality,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.588185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50ad3d43-38c7-4c8b-b5fb-31e51e12cdfe · outbound

This paper cites Context, facial expression and prosody in irony processing,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects Context, facial expression and prosody in irony processing,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.574592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34ef15dd-9187-4d11-ba54-8f8a3e59d85b · outbound

This paper cites The sound of sarcasm,.

Spoken in Jest, Detected in Earnest: A Systematic Review of Sarcasm Recognition -- Multimodal Fusion, Challenges, and Future Prospects The sound of sarcasm,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T05:59:46.561379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers