| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | |
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1 | url | year | Title | Type of Intelligence | Cognitive Factor/Situation Factor/Communicative Goal | Task | Source | Generation (Human/AI) | Annotating Strategy | Data Format | Language | Modality | Availability | ||||||||||||||
2 | https://aclanthology.org/W19-3512 | 2019 | {L}-{HSAB}: A {L}evantine {T}witter Dataset for Hate Speech and Abusive Language | Cognitive | Intent, Belief, Emotion | Hate Speech Detection | human | 3 Levantine native speakers and at a higher educational level (Postdoc/PhD) | tweet | Arabic | text | Y | |||||||||||||||
3 | https://aclanthology.org/D19-5108 | 2019 | Annotation Process for the Dialog Act Classification of a Taglish {E}-commerce {Q}{\&}{A} Corpus | Cognitive | Intent | Dialogue Act Classification | e-commerce website | human-human | 3 individuals | post | Tagalog-English | text | Y | ||||||||||||||
4 | https://aclanthology.org/W15-5602 | 2015 | 7x1-{PT}: um Corpus extra{\'\i}do do {T}witter para An{\'a}lise de Sentimentos em L{\'\i}ngua Portuguesa (7x1-{PT}: a Corpus extracted from {T}witter for Sentiment Analysis in {P}ortuguese Language) | Cognitive | Belief, Emotion | Sentiment Analysis | human | - | tweet | Portuguese | text | N | |||||||||||||||
5 | https://aclanthology.org/W15-5614 | 2015 | An Annotated Corpus for Sentiment Analysis in Political News | Cognitive | Belief, Emotion | Sentiment Analysis | News | human | 4 annotators | news | Portuguese | text | Y | ||||||||||||||
6 | https://aclanthology.org/F13-2033 | 2013 | Building and exploiting a {F}rench corpus for sentiment analysis (Construction et exploitation d{'}un corpus fran{\c{c}}ais pour l{'}analyse de sentiment) [in {F}rench] | Cognitive | Belief, Emotion | Sentiment Analysis | hotel, film, amazon websites | human | rating | review | French | text | N | ||||||||||||||
7 | https://aclanthology.org/J12-3002 | 2012 | {S}quibs: Fruit Carts: A Domain and Corpus for Research in Dialogue Systems and Psycholinguistics | Behavioural | Information-sharing, social influence | Collaborative Dialogue | simulation | human-human | - | multi-turn dialogue | English | video | N | ||||||||||||||
8 | https://aclanthology.org/2018.jeptalnrecital-court.42 | 2018 | Annotation en Actes de Dialogue pour les Conversations d{'}Assistance en Ligne (Dialog Acts Annotations for Online Chats) | Cognitive | Intent | Dialogue Act Classification | - | human-human | human | multi-turn dialogue | French | text | N | ||||||||||||||
9 | https://aclanthology.org/2020.argmining-1.1 | 2020 | {D}ebate{S}um: A large-scale argument mining and summarization dataset | Cognitive | Belief | Argument Mining | debate | human | extraction | debate argument | English | text | Y | ||||||||||||||
10 | https://aclanthology.org/2020.argmining-1.11 | 2020 | Annotating argumentation in {S}wedish social media | Cognitive | Belief | Argument Mining | online forum | human | human | post | Swedish | text | N | ||||||||||||||
11 | https://aclanthology.org/W19-6113 | 2019 | Annotating evaluative sentences for sentiment analysis: a dataset for {N}orwegian | Cognitive | Belief, Emotion | Sentiment Analysis | news | human | five annotators in total (students with background in linguistics and language technology) | sentence with context | Norwegian | text | Y | ||||||||||||||
12 | https://aclanthology.org/2020.lrec-1.614 | 2020 | Inference Annotation of a {C}hinese Corpus for Opinion Mining | Cognitive | Belief | Opinion Mining | review website | human | automatic (BART annotation tool) | phrase, sentence, whole review | Chinese | text | Y | ||||||||||||||
13 | https://aclanthology.org/S12-1018 | 2012 | Annotating Preferences in Negotiation Dialogues | Cognitive | Belief | preference prediction | existing dataset, learning website | human-human | two annotators | multi-turn dialogue | English | text | N | ||||||||||||||
14 | https://aclanthology.org/W12-3619 | 2012 | Annotating Preferences in Chats for Strategic Games | Cognitive | Belief | preference prediction | game transcript | multi-party | human | multi-turn dialogue | English | text | Y | ||||||||||||||
15 | https://aclanthology.org/O16-1027 | 2016 | Sarcasm Detection in {C}hinese Using a Crowdsourced Corpus | Cognitive | Intent, Belief | sarcasm detection | human | crowdsource | post | Chinese | text | N | |||||||||||||||
16 | https://aclanthology.org/R19-1125 | 2019 | Offence in Dialogues: A Corpus-Based Study | Cognitive | Intent | offensiveness detection | human | human | thread | English | text | N | |||||||||||||||
17 | https://aclanthology.org/2021.rocling-1.37 | 2021 | A Corpus for Dimensional Sentiment Classification on {Y}ou{T}ube Streaming Service | Cognitive | Belief, Emotion | Sentiment Analysis, Excitement Analysis | Youtube | human | expert | comment | English | text | N | ||||||||||||||
18 | https://aclanthology.org/2020.lincr-1.7 | 2020 | Towards a Multi-Dataset for Complex Emotions Learning Based on Deep Neural Networks | Cognitive | Emotion | Emotion Classification | existing dataset | human | automatic(theory) | combination | English | text | N | ||||||||||||||
19 | https://aclanthology.org/2020.lrec-1.194 | 2020 | {G}ood{N}ews{E}veryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception | Cognitive | Emotion | Emotion Classification | News | human | one expert and three annotators on the domain of blog posts | headline | English | text | Y | ||||||||||||||
20 | https://aclanthology.org/2022.naacl-main.270 | 2022 | {M}ulti2{WOZ}: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog | Behavioural | information sharing | Task-Oriented Dialogue | existing dataset | human-human | - | multi-turn dialogue | Chinese, German, Arabic, and Russian | text | Y | ||||||||||||||
21 | https://aclanthology.org/2020.lrec-1.768 | 2020 | {DAICT}: A Dialectal {A}rabic Irony Corpus Extracted from {T}witter | Cognitive | Intent, Belief | sarcasm detection | human | expert | tweet | Arabic | text | Y | |||||||||||||||
22 | https://aclanthology.org/2020.osact-1.5 | 2020 | From {A}rabic Sentiment Analysis to Sarcasm Detection: The {A}r{S}arcasm Dataset | Cognitive | Intent, Belief | sarcasm detection | human | crowdsource | tweet | Arabic | text | Y | |||||||||||||||
23 | https://aclanthology.org/2020.acl-main.118 | 2020 | i{S}arcasm: A Dataset of Intended Sarcasm | Cognitive | Intent, Belief | sarcasm detection | human | intended (author), perceived(crowd) | tweet | English, Arabic | text | Y | |||||||||||||||
24 | https://aclanthology.org/2020.lrec-1.55 | 2020 | Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for {B}asque | Behavioural | Information sharing | Conversational Question Answering | Wikipedia, online session | human-human | - | multi-turn dialogue | Basque | text | Y | ||||||||||||||
25 | https://aclanthology.org/2021.nodalida-main.52 | 2021 | The {S}wedish {W}inogender Dataset | Cognitive | Belief | Gender-Bias Detection | existing dataset | human | - | single sentence | Swedish | text | Y | ||||||||||||||
26 | https://aclanthology.org/2005.sigdial-1.12 | 2005 | A Corpus for Studying Addressing Behavior in Multi-Party Dialogues | Cognitive, Behavioural | Intent, open-domain | Dialogue act classification, addressing behaviour analysis | meeting recording | multi-party | human | multi-turn dialogue | English | video | N | ||||||||||||||
27 | https://aclanthology.org/2021.eacl-main.11 | 2021 | The {G}utenberg Dialogue Dataset | Behavioural | open-domain | open-domain dialogue | book | human-human | - | multi-turn dialogue | English, German, Dutch, Spanish, Portuguese, Italian, Hungarian | text | Y | ||||||||||||||
28 | https://aclanthology.org/W18-0618 | 2018 | {RSDD}-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses | Cognitive | Emotion | Mental Well-being Diagnosis | human | self-reported | post | English | text | Y | |||||||||||||||
29 | https://aclanthology.org/2022.naacl-main.5 | 2022 | {E}r{AC}on{D}: Error Annotated Conversational Dialog Dataset for Grammatical Error Correction | Behavioural | Social Influence | Conversational Grammar Correction | crowdsource | human-ai | two annotators | multi-turn dialogue | English | text | Y | ||||||||||||||
30 | https://aclanthology.org/2021.konvens-1.20 | 2021 | {D}e{I}n{S}tance: Creating and Evaluating a {G}erman Corpus for Fine-Grained Inferred Stance Detection | Cognitive | Belief | Stance Detection | existing dataset | human | 3 individuals | comment | German | text | Y | ||||||||||||||
31 | https://aclanthology.org/2020.nlpcovid19-acl.11 | 2020 | Measuring {Emotions} in the {COVID}-19 {Real} {World} {Worry} {Dataset} | Cognitive | Emotion | Emotion Classification | crowdsource | human | self-report | text | English | text | Y | ||||||||||||||
32 | https://aclanthology.org/2022.findings-acl.41 | 2022 | {H}ybri{D}ialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data | Behavioural | Information sharing | Grounded Dialogue | crowdsource | human-human | self-report | multi-turn dialogue | English | text, table | Y | ||||||||||||||
33 | https://aclanthology.org/E17-2092 | 2017 | {E}mo{B}ank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis | Cognitive | Emotion | Emotion Classification | existing dataset | human | crowdsource | single sentence | English | text | Y | ||||||||||||||
34 | https://aclanthology.org/Y14-1024 | 2014 | Automatically Building a Corpus for Sentiment Analysis on {I}ndonesian Tweets | Cognitive | Belief, Emotion | Sentiment Analysis | human | seed data+automatic | tweet | Indonesian | text | Y | |||||||||||||||
35 | https://aclanthology.org/2021.ranlp-1.34 | 2021 | {RED}: A Novel Dataset for {R}omanian Emotion Detection from Tweets | Cognitive | Emotion | Emotion Classification | human | 3 annotators (Romanian and psychologist) | tweet | Romanian | text | N | |||||||||||||||
36 | https://aclanthology.org/N15-1146 | 2015 | {MPQA} 3.0: An Entity/Event-Level Sentiment Corpus | Cognitive | Belief, Emotion | Sentiment Analysis | existing dataset | human | human | entity-level | English | text | Y | ||||||||||||||
37 | https://aclanthology.org/E17-2088 | 2017 | A Dataset for Multi-Target Stance Detection | Cognitive | Belief | Stance Detection | human | human | tweet | English | text | Y | |||||||||||||||
38 | https://aclanthology.org/P14-2066 | 2014 | A Corpus of Sentence-level Revisions in Academic Writing: A Step towards Understanding Statement Strength in Communication | Behavioural | social influence | Statement Strength | papers | human | crowdsource | single sentence | English | text | Y | ||||||||||||||
39 | https://aclanthology.org/P14-2070 | 2014 | Depeche Mood: a Lexicon for Emotion Analysis from Crowd Annotated News | Cognitive | Emotion | Emotion Analysis | news | human | crowdsource | lexicon | English | text | Y | ||||||||||||||
40 | https://aclanthology.org/2022.acl-long.234 | 2022 | {T}oxi{G}en: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection | Cognitive | Intent, Belief, Emotion | Hate Speech Detection | machine generate | ai | human validation | single sentence | English | text | Y | ||||||||||||||
41 | https://aclanthology.org/2020.lrec-1.71 | 2020 | A Corpus of Controlled Opinionated and Knowledgeable Movie Discussions for Training Neural Conversation Models | Behavioural | open-domain | Chitchat | crowdsource | human-human | - | multi-turn dialogue | English | text | Y | ||||||||||||||
42 | https://aclanthology.org/2021.sigdial-1.37 | 2021 | How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus | Cognitive, Behavioural | Intent, Information sharing | Question Generation | crowdsource | human-ai | human | multi-turn dialogue | English | text | Y | ||||||||||||||
43 | https://aclanthology.org/W04-2319 | 2004 | The {ICSI} Meeting Recorder Dialog Act ({MRDA}) Corpus | Cognitive | Intent | Dialogue Act Classification | meeting transcript | multi-party | human | multi-turn dialogue | English | text | Y | ||||||||||||||
44 | https://aclanthology.org/2020.lrec-1.807 | 2020 | {S}ib{L}ing Corpus of {R}ussian Dialogue Speech Designed for Research on Speech Entrainment | Environmental, Behavioural | Social Relation, open-domain | Chitchat with interpersonal relationship | experiment | human-human | human | multi-turn dialogue | Russian | text | N | ||||||||||||||
45 | https://aclanthology.org/K19-1092 | 2019 | Multi-Level Sentiment Analysis of {P}ol{E}mo 2.0: Extended Corpus of Multi-Domain Consumer Reviews | Cognitive | Belief, Emotion | Sentiment Analysis | review website | human | human | review | Polish | text | Y | ||||||||||||||
46 | https://aclanthology.org/W11-3703 | 2011 | Emotion Modeling from Writer/Reader Perspectives Using a Microblog Dataset | Cognitive | Emotion | Emotion Classification | Plurk (social media) | human-human | human | thread | English | text | N | ||||||||||||||
47 | https://aclanthology.org/C14-1120 | 2014 | {C}hinese Irony Corpus Construction and Ironic Structure Analysis | Cognitive | Intent, Belief | Irony Detection | microblog | human | human | single sentence | Chinese | text | N | ||||||||||||||
48 | https://aclanthology.org/2020.lrec-1.180 | 2020 | Multilingual {T}witter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition | Cognitive | Belief | Hate Speech Detection | human | human | tweet | English, Italian, Polish, Portuguese, Spanish | text | Y | |||||||||||||||
49 | https://aclanthology.org/P19-1394 | 2019 | Large Dataset and Language Model Fun-Tuning for Humor Recognition | Cognitive | Intent | Humor Recognition | existing dataset, joke website | human | human | single sentence | Russian | text | Y | ||||||||||||||
50 | https://aclanthology.org/C18-1114 | 2018 | Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions | Cognitive | Emotion | Emotion Analysis | book | human | expert | corpus | English | text | Y | ||||||||||||||
51 | https://aclanthology.org/P19-1050 | 2019 | {MELD}: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations | Cognitive | Emotion | Emotion Classification | TV-series | multi-party | crowdsource | multi-turn dialogue | English | video | Y | ||||||||||||||
52 | https://aclanthology.org/P19-1057 | 2019 | A Corpus for Modeling User and Language Effects in Argumentation on Online Debating | Behavioural | social influence | Debate Analysis | debate | human-human | - | multi-turn dialogue | English | text | Y | ||||||||||||||
53 | https://aclanthology.org/2022.dialdoc-1.21 | 2022 | {T}ask2{D}ial: A Novel Task and Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents | Behavioural | information sharing | commonsense enhanced Task-Oriented Dialogue | human writing | human-human | human | multi-turn dialogue | English | text | Y | ||||||||||||||
54 | https://aclanthology.org/D15-1302 | 2015 | A Multi-lingual Annotated Dataset for Aspect-Oriented Opinion Mining | Cognitive | Belief | Opinion Mining | existing dataset | human | human | review | English, Italian, Spanish | text | Y | ||||||||||||||
55 | https://aclanthology.org/2020.lrec-1.193 | 2020 | The {POTUS} Corpus, a Database of Weekly Addresses for the Study of Stance in Politics and Virtual Agents | Behavioural | social influence | Socially believable Agent | address | human | crowdsource | address | English | video | Y | ||||||||||||||
56 | https://aclanthology.org/W17-1106 | 2017 | A {T}witter Corpus and Benchmark Resources for {G}erman Sentiment Analysis | Cognitive | Belief, Emotion | Sentiment Analysis | human | 3 individuals | tweet | German | text | Y | |||||||||||||||
57 | https://aclanthology.org/W18-3502 | 2018 | A Crowd-Annotated {S}panish Corpus for Humor Analysis | Cognitive, Behavioural | Intent, social influence | Humor Recognition, humor generation | human | crowdsource | tweet | Spanish | text | Y | |||||||||||||||
58 | https://aclanthology.org/2021.wassa-1.18 | 2021 | Hate Towards the Political Opponent: A {T}witter Corpus Study of the 2020 {US} Elections on the Basis of Offensive Speech and Stance Detection | Cognitive | Intent, Belief, Emotion | Hate Speech Detection, Stance Detection | human | 3 individuals | tweet | English | text | Y | |||||||||||||||
59 | https://aclanthology.org/2021.wassa-1.25 | 2021 | {ONE}: Toward {ONE} model, {ONE} algorithm, {ONE} corpus dedicated to sentiment analysis of {A}rabic/{A}rabizi and its dialects | Cognitive | Belief, Emotion | Sentiment Analysis | existing dataset | human | human | text | Arabic | text | Y | ||||||||||||||
60 | https://aclanthology.org/2022.woah-1.14 | 2022 | DeTox: A Comprehensive Dataset for {G}erman Offensive Language and Conversation Analysis | Cognitive | Intent, Belief, Emotion | Offensive Language Detection | human | 6 annotators | thread | German | text | Y | |||||||||||||||
61 | https://aclanthology.org/2022.naacl-main.108 | 2022 | Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding | Cognitive | Intent, Emotion | Desire Understanding | social media | human | 3 individuals | post | English | text, image | Y | ||||||||||||||
62 | https://aclanthology.org/2020.lrec-1.62 | 2020 | Emotional Speech Corpus for Persuasive Dialogue System | Behavioural | social influence | persuasion, negotiation | crowdsource | human | 3 individuals | sentence with context | Japanese | audio | N | ||||||||||||||
63 | https://aclanthology.org/W09-3405 | 2009 | Annotating Dialogue Acts to Construct Dialogue Systems for Consulting | Cognitive, Behavioural | Intent, Information sharing | Dialogue Act Classification, consultation | f2f | human-human | human | multi-turn dialogue | Japanese | text | N | ||||||||||||||
64 | https://aclanthology.org/2021.emnlp-main.182 | 2021 | Don{'}t be Contradicted with Anything! {CI}-{T}o{D}: Towards Benchmarking Consistency for Task-oriented Dialogue System | Behavioural | information sharing | Consistency in Task-Oriented Dialogue | existing dataset | human-human | human | multi-turn dialogue | English | text | Y | ||||||||||||||
65 | https://aclanthology.org/2020.lrec-1.127 | 2020 | Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation | Cognitive | Belief | Argument Mining | debate, social media | human | human, machine | proposition | English | text | N | ||||||||||||||
66 | https://aclanthology.org/P10-1059 | 2010 | Sentence and Expression Level Annotation of Opinions in User-Generated Discourse | Cognitive | Belief | Opinion Mining | review website | human | 2 annotators | review | English | text | Y | ||||||||||||||
67 | https://aclanthology.org/2020.lrec-1.151 | 2020 | An {A}lgerian Corpus and an Annotation Platform for Opinion and Emotion Analysis | Cognitive | Belief, Emotion | Sentiment Analysis, Emotion Classification | human | human | tweet | Algerian | text | Y | |||||||||||||||
68 | https://aclanthology.org/2021.eacl-main.142 | 2021 | {N}ews{MTSC}: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News Articles | Cognitive | Belief, Emotion | Sentiment Analysis | existing dataset | human | human | article | English | text | Y | ||||||||||||||
69 | https://aclanthology.org/2020.lrec-1.618 | 2020 | A Fine-grained Sentiment Dataset for {N}orwegian | Cognitive | Belief, Emotion | Sentiment Analysis | news | human | human | review | Norwegian | text | Y | ||||||||||||||
70 | https://aclanthology.org/2020.lrec-1.53 | 2020 | {M}ulti{WOZ} 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines | Cognitive | Intent | Dialogue State Tracking | existing dataset | human-human | human, machine | multi-turn dialogue | English | text | Y | ||||||||||||||
71 | https://aclanthology.org/2020.lrec-1.76 | 2020 | {MPDD}: A Multi-Party Dialogue Dataset for Analysis of Emotions and Interpersonal Relationships | Cognitive, Environmental, Behavioural | Emotion, Relation, open-domain | open-domain dialogue enhanced with knowledge on interpersonal relationships | TV-series | multi-party | 3 individuals | multi-turn dialogue | Chinese | text | Y | ||||||||||||||
72 | https://aclanthology.org/2020.lrec-1.79 | 2020 | {PACO}: a Corpus to Analyze the Impact of Common Ground in Spontaneous Face-to-Face Interaction | Environmental | speaker info | interpersonal relationship | experiment | human-human | human, machine | multi-turn dialogue | French | audio, video | Y | ||||||||||||||
73 | https://aclanthology.org/2020.lrec-1.186 | 2020 | {E}mo{E}vent: A Multilingual Emotion Corpus based on different Events | Cognitive | Emotion | Emotion Classification | human | 3 individuals | tweet | English, Spanish | text | N | |||||||||||||||
74 | https://aclanthology.org/2020.lrec-1.84 | 2020 | Multimodal Corpus of Bidirectional Conversation of Human-human and Human-robot Interaction during f{MRI} Scanning | Behavioural | open-domain | open-domain dialogue | experiment | human-human, human-ai | - | multi-turn dialogue | French | video | Y | ||||||||||||||
75 | https://aclanthology.org/2020.lrec-1.59 | 2020 | {``}Cheese!{''}: a Corpus of Face-to-face {F}rench Interactions. A Case Study for Analyzing Smiling and Conversational Humor | Behavioural | social influence | Smile, Humor | experiment | human-human | human, machine | multi-turn dialogue | French | video | Y | ||||||||||||||
76 | https://aclanthology.org/2020.lrec-1.201 | 2020 | {CEASE}, a Corpus of Emotion Annotated Suicide notes in {E}nglish | Cognitive | Emotion | Mental Illness | news, blogs | human | 3 individuals | sentence with context | English | text | Y | ||||||||||||||
77 | https://aclanthology.org/2020.lrec-1.72 | 2020 | A {F}rench Medical Conversations Corpus Annotated for a Virtual Patient Dialogue System | Behavioural | Information sharing | Medical consultatiton | medical consultation | human | - | single-turn, multi-turn dialogue | French | text | Y | ||||||||||||||
78 | https://aclanthology.org/2020.lrec-1.205 | 2020 | {PO}-{EMO}: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in {G}erman and {E}nglish Poetry | Cognitive | Emotion | Emotion Classification | poem website | human | expert, crowdsource | poetry | English, German | text | Y | ||||||||||||||
79 | https://aclanthology.org/2020.lrec-1.203 | 2020 | An Event-comment Social Media Corpus for Implicit Emotion Analysis | Cognitive | Emotion | Emotion Analysis | social media | human | human | thread | Chinese | text | N | ||||||||||||||
80 | https://aclanthology.org/2020.lrec-1.173 | 2020 | {WAC}: A Corpus of {W}ikipedia Conversations for Online Abuse Detection | Cognitive | Intent | Abusive Content Detection | existing dataset | human | human | sentence with context | English | text | Y | ||||||||||||||
81 | https://aclanthology.org/2020.lrec-1.171 | 2020 | Multilingual Stance Detection in Tweets: The {C}atalonia Independence Corpus | Cognitive | Belief | Stance Detection | human | 3 individuals | tweet | Catalan, Spanish | text | Y | |||||||||||||||
82 | https://aclanthology.org/2020.lrec-1.143 | 2020 | Corpus for Modeling User Interactions in Online Persuasive Discussions | Behavioural | social influence | persuasion | forum | human | 19 annotators | sentence with context | English | text | N | ||||||||||||||
83 | https://aclanthology.org/2020.lrec-1.168 | 2020 | Development and Validation of a Corpus for Machine Humor Comprehension | Cognitive | Intent | Humor Recognition | website, book, app | human | 1 annotator | joke | Chinese | text | Y | ||||||||||||||
84 | https://aclanthology.org/2020.lrec-1.624 | 2020 | {P}arl{V}ote: A Corpus for Sentiment Analysis of Political Debates | Cognitive | Belief, Emotion | Sentiment Analysis | parliamentary record | human | automatic(keyword) | debate | English | text | Y | ||||||||||||||
85 | https://aclanthology.org/2020.lrec-1.628 | 2020 | {HAHA} 2019 Dataset: A Corpus for Humor Analysis in {S}panish | Cognitive | Intent | Humor Recognition | human | crowdsource | tweet | Spanish | text | Y | |||||||||||||||
86 | https://aclanthology.org/2020.lrec-1.212 | 2020 | An Evaluation Dataset for Identifying Communicative Functions of Sentences in {E}nglish Scholarly Papers | Cognitive | Intent | Communicative Function Identification | papers | human | human | single sentence | English | text | Y | ||||||||||||||
87 | https://aclanthology.org/2020.lrec-1.80 | 2020 | Dialogue Act Annotation in a Multimodal Corpus of First Encounter Dialogues | Cognitive | Intent | Dialogue Act Classification | existing dataset | human-human | expert | multi-turn dialogue | Danish | video | Y | ||||||||||||||
88 | https://aclanthology.org/2020.emnlp-main.743 | 2020 | {M}ed{D}ialog: Large-scale Medical Dialogue Datasets | Behavioural | information sharing | Medical consultatiton | crawled | human-human | - | multi-turn dialogue | English, Chinese | text | Y | ||||||||||||||
89 | https://aclanthology.org/2020.lrec-1.75 | 2020 | {RDG}-Map: A Multimodal Corpus of Pedagogical Human-Agent Spoken Interactions. | Behavioural | information sharing, social influence | collaboration | game | human-ai | human | multi-turn dialogue | English | video | Y | ||||||||||||||
90 | https://aclanthology.org/Y15-1034 | 2015 | Annotation and Classification of {F}rench Feedback Communicative Functions | Cognitive | Intent | Communicative Function Identification | existing dataset | human | human | single sentence | English | audio, video | Y | ||||||||||||||
91 | https://aclanthology.org/W19-8623 | 2019 | {V}i{GGO}: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation | Behavioural | Information sharing | data-to-text generation | crowdsource | human-human | expert | multi-turn dialogue | English | text | Y | ||||||||||||||
92 | https://aclanthology.org/W15-4614 | 2015 | Dialog Act Annotation for {T}witter Conversations | Cognitive | Intent | Dialogue Act Classification | human-human | 3 individuals | thread | German | text | N | |||||||||||||||
93 | https://aclanthology.org/2021.sigdial-1.38 | 2021 | How Will {I} Argue? A Dataset for Evaluating Recommender Systems for Argumentations | Behavioural | social influence | persuasion | survey | human | human | argument | German | text | Y | ||||||||||||||
94 | https://aclanthology.org/W16-3604 | 2016 | Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue | Cognitive | Intent, Belief | sarcasm detection | existing dataset | human | crowdsource | sentence with context | English | text | Y | ||||||||||||||
95 | https://aclanthology.org/2020.lrec-1.60 | 2020 | The Margarita Dialogue Corpus: A Data Set for Time-Offset Interactions and Unstructured Dialogue Systems | Behavioural | open-domain | Time-Offset Interactions | experiment | human-human | human | multi-turn dialogue | English | video, text | Y | ||||||||||||||
96 | https://aclanthology.org/W19-3510 | 2019 | A Hierarchically-Labeled {P}ortuguese Hate Speech Dataset | Cognitive | Intent, Belief, Emotion | Hate Speech Detection | human | expert | tweet | Portuguese | text | Y | |||||||||||||||
97 | https://aclanthology.org/2021.bucc-1.10 | 2021 | A {D}utch Dataset for Cross-lingual Multilabel Toxicity Detection | Cognitive | Intent, Belief, Emotion | toxicity detection | existing dataset | human | 2 annotators | sentence with context | Dutch | text | N | ||||||||||||||
98 | https://aclanthology.org/D19-1460 | 2019 | Multi-Domain Goal-Oriented Dialogues ({M}ulti{D}o{GO}): Strategies toward Curating and Annotating Large Scale Dialogue Data | Cognitive | Intent | Dialogue State Tracking | crowdsource | human-human | crowd, expert | multi-turn dialogue | English | text | N | ||||||||||||||
99 | https://aclanthology.org/P18-2024 | 2018 | Construction of a {C}hinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions | Cognitive | Emotion | Emotion Analysis | book, journal, script, network | human | 7 annotators | single sentence | Chinese | text | N | ||||||||||||||
100 | https://aclanthology.org/2020.lrec-1.78 | 2020 | {EDA}: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators | Cognitive | Intent, Emotion | Dialogue Act Classification | existing dataset | multi-party | automatic(neural models) | multi-turn dialogue | English | video | Y |