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QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781118784235.eelt0369openalex-snapshot
Multiple‐Choice Item Format
inferredcites →https://doi.org/10.1007/978-3-030-32233-5_43openalex-snapshot
XCMRC: Evaluating Cross-Lingual Machine Reading Comprehension
inferredcites →https://doi.org/10.1007/978-3-030-45442-5_21openalex-snapshot
ANTIQUE: A Non-factoid Question Answering Benchmark
inferredcites →https://doi.org/10.1007/978-3-030-58219-7_1openalex-snapshot
SberQuAD – Russian Reading Comprehension Dataset: Description and Analysis
inferredcites →https://doi.org/10.1007/978-3-030-62466-8_7openalex-snapshot
RuBQ: A Russian Dataset for Question Answering over Wikidata
inferredcites →https://doi.org/10.1007/978-3-030-66096-3_8openalex-snapshot
A Dataset and Baselines for Visual Question Answering on Art
inferredcites →https://doi.org/10.1007/978-3-030-72610-2_4openalex-snapshot
DaNetQA: A Yes/No Question Answering Dataset for the Russian Language
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-11382-1_23openalex-snapshot
Overview of CLEF Question Answering Track 2014
inferredcites →https://doi.org/10.1007/978-3-319-24027-5_50openalex-snapshot
Overview of the CLEF Question Answering Track 2015
inferredcites →https://doi.org/10.1007/978-3-319-50496-4_89openalex-snapshot
Overview of the NLPCC-ICCPOL 2016 Shared Task: Open Domain Chinese Question Answering
inferredcites →https://doi.org/10.1007/978-3-319-73618-1_86openalex-snapshot
Overview of the NLPCC 2017 Shared Task: Open Domain Chinese Question Answering
inferredcites →https://doi.org/10.1007/978-3-319-94042-7_9openalex-snapshot
Human-Computer Question Answering: The Case for Quizbowl
inferredcites →https://doi.org/10.1007/s10791-020-09387-9openalex-snapshot
Improving question answering for event-focused questions in temporal collections of news articles
inferredcites →https://doi.org/10.1007/s11263-017-1033-7openalex-snapshot
Uncovering the Temporal Context for Video Question Answering
inferredcites →https://doi.org/10.1016/b978-0-934613-03-3.50033-7openalex-snapshot
Some Philosophical Problems from the Standpoint of Artificial Intelligence
inferredcites →https://doi.org/10.1016/s0079-7421(09)51009-2openalex-snapshot
Chapter 9 Toward a Comprehensive Model of Comprehension
inferredcites →https://doi.org/10.1037//0278-7393.28.4.770openalex-snapshot
Temporal order relations in language comprehension.
inferredcites →https://doi.org/10.1109/cvpr.2016.501openalex-snapshot
MovieQA: Understanding Stories in Movies through Question-Answering
inferredcites →https://doi.org/10.1109/cvpr.2017.149openalex-snapshot
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2017.215openalex-snapshot
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
inferredcites →https://doi.org/10.1109/cvpr.2017.471openalex-snapshot
Counting Everyday Objects in Everyday Scenes
inferredcites →https://doi.org/10.1109/cvpr.2017.778openalex-snapshot
A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00430openalex-snapshot
IQA: Visual Question Answering in Interactive Environments
inferredcites →https://doi.org/10.1109/cvpr.2019.00686openalex-snapshot
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
inferredcites →https://doi.org/10.1109/icassp39728.2021.9413599openalex-snapshot
Generating Natural Questions from Images for Multimodal Assistants
inferredcites →https://doi.org/10.1109/iccv.2017.312openalex-snapshot
MarioQA: Answering Questions by Watching Gameplay Videos
inferredcites →https://doi.org/10.1109/slt.2018.8639505openalex-snapshot
ODSQA: Open-Domain Spoken Question Answering Dataset
inferredcites →https://doi.org/10.1109/taslp.2020.3010650openalex-snapshot
Temporal Reasoning via Audio Question Answering
inferredcites →https://doi.org/10.1145/2872427.2883044openalex-snapshot
Addressing Complex and Subjective Product-Related Queries with Customer Reviews
inferredcites →https://doi.org/10.1145/3097983.3098131openalex-snapshot
Toward Automated Fact-Checking
inferredcites →https://doi.org/10.1145/3176349.3176387openalex-snapshot
Informing the Design of Spoken Conversational Search
inferredcites →https://doi.org/10.1145/3209978.3210124openalex-snapshot
Analyzing and Characterizing User Intent in Information-seeking Conversations
inferredcites →https://doi.org/10.1145/3287560.3287596openalex-snapshot
Model Cards for Model Reporting
inferredcites →https://doi.org/10.1145/3357384.3358016openalex-snapshot
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
inferredcites →https://doi.org/10.1145/3366423.3380120openalex-snapshot
Text-to-SQL Generation for Question Answering on Electronic Medical Records
inferredcites →https://doi.org/10.1145/3442381.3449992openalex-snapshot
Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
inferredcites →https://doi.org/10.1145/345508.345577openalex-snapshot
Building a question answering test collection
inferredcites →https://doi.org/10.1145/3483382.3483389openalex-snapshot
A review of public datasets in question answering research
inferredcites →https://doi.org/10.1162/tacl_a_00023openalex-snapshot
The NarrativeQA Reading Comprehension Challenge
inferredcites →https://doi.org/10.1162/tacl_a_00041openalex-snapshot
Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science
inferredcites →https://doi.org/10.1162/tacl_a_00264openalex-snapshot
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
inferredcites →https://doi.org/10.1162/tacl_a_00266openalex-snapshot
CoQA: A Conversational Question Answering Challenge
inferredcites →https://doi.org/10.1162/tacl_a_00276openalex-snapshot
Natural Questions: A Benchmark for Question Answering Research
inferredcites →https://doi.org/10.1162/tacl_a_00298openalex-snapshot
What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models
inferredcites →https://doi.org/10.1162/tacl_a_00317openalex-snapshot
T y D i QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
inferredcites →https://doi.org/10.1162/tacl_a_00377openalex-snapshot
Decontextualization: Making Sentences Stand-Alone
inferredcites →https://doi.org/10.1162/tacl_a_00433openalex-snapshot
MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering
inferredcites →https://doi.org/10.1162/tacl_a_00471openalex-snapshot
TopiOCQA: Open-domain Conversational Question Answering with Topic Switching
inferredcites →https://doi.org/10.1186/s12859-015-0564-6openalex-snapshot
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
inferredcites →https://doi.org/10.1609/aaai.v33i01.33017063openalex-snapshot
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships
inferredcites →https://doi.org/10.1609/aaai.v33i01.33018076openalex-snapshot
TallyQA: Answering Complex Counting Questions
inferredcites →https://doi.org/10.1609/aaai.v34i05.6239openalex-snapshot
PIQA: Reasoning about Physical Commonsense in Natural Language
inferredcites →https://doi.org/10.1609/aaai.v34i05.6282openalex-snapshot
TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
inferredcites →https://doi.org/10.1609/aaai.v34i05.6398openalex-snapshot
Getting Closer to AI Complete Question Answering: A Set of Prerequisite Real Tasks
inferredcites →https://doi.org/10.1609/aaai.v34i05.6399openalex-snapshot
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
inferredcites →https://doi.org/10.1609/aaai.v34i05.6422openalex-snapshot
Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets
inferredcites →https://doi.org/10.1609/aaai.v34i05.6450openalex-snapshot
ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.330openalex-snapshot
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.421openalex-snapshot
On the Cross-lingual Transferability of Monolingual Representations
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.432openalex-snapshot
Learning to Deceive with Attention-Based Explanations
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.442openalex-snapshot
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.465openalex-snapshot
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.502openalex-snapshot
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.507openalex-snapshot
STARC: Structured Annotations for Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.652openalex-snapshot
DoQA - Accessing Domain-Specific FAQs via Conversational QA
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.653openalex-snapshot
MLQA: Evaluating Cross-lingual Extractive Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.656openalex-snapshot
Generating Fact Checking Explanations
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.662openalex-snapshot
What Question Answering can Learn from Trivia Nerds
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.701openalex-snapshot
To Test Machine Comprehension, Start by Defining Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.92openalex-snapshot
A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
inferredcites →https://doi.org/10.18653/v1/2020.acl-tutorials.8openalex-snapshot
Open-Domain Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.233openalex-snapshot
A Vietnamese Dataset for Evaluating Machine Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.238openalex-snapshot
Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.570openalex-snapshot
Read and Reason with MuSeRC and RuCoS: Datasets for Machine Reading Comprehension for Russian
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.589openalex-snapshot
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.603openalex-snapshot
Neural Unsupervised Domain Adaptation in NLP—A Survey
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.192openalex-snapshot
A Method for Building a Commonsense Inference Dataset based on Basic Events
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.442openalex-snapshot
SubjQA: A Dataset for Subjectivity and Review Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.466openalex-snapshot
AmbigQA: Answering Ambiguous Open-domain Questions
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.477openalex-snapshot
LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.557openalex-snapshot
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.655openalex-snapshot
Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.703openalex-snapshot
Experience Grounds Language
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.86openalex-snapshot
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.88openalex-snapshot
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.112openalex-snapshot
What Can We Do to Improve Peer Review in NLP?
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.117openalex-snapshot
Evaluating Models’ Local Decision Boundaries via Contrast Sets
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.171openalex-snapshot
UNIFIEDQA: Crossing Format Boundaries with a Single QA System
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.342openalex-snapshot
Question Answering with Long Multiple-Span Answers
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.418openalex-snapshot
Thinking Like a Skeptic: Defeasible Inference in Natural Language
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.91openalex-snapshot
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.118openalex-snapshot
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.170openalex-snapshot
Changing the World by Changing the Data
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.254openalex-snapshot
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.345openalex-snapshot
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
inferredcites →https://doi.org/10.18653/v1/2021.eacl-main.106openalex-snapshot
NLQuAD: A Non-Factoid Long Question Answering Data Set
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.135openalex-snapshot
Competency Problems: On Finding and Removing Artifacts in Language Data
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.164openalex-snapshot
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.300openalex-snapshot
FinQA: A Dataset of Numerical Reasoning over Financial Data
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.343openalex-snapshot
WebSRC: A Dataset for Web-Based Structural Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.493openalex-snapshot
Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.586openalex-snapshot
SituatedQA: Incorporating Extra-Linguistic Contexts into QA
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.597openalex-snapshot
ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.693openalex-snapshot
English Machine Reading Comprehension Datasets: A Survey
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.698openalex-snapshot
MLEC-QA: A Chinese Multi-Choice Biomedical Question Answering Dataset
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.758openalex-snapshot
Evaluation Paradigms in Question Answering
inferredcites →https://doi.org/10.18653/v1/2021.emnlp-tutorials.4openalex-snapshot
Multi-Domain Multilingual Question Answering
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.259openalex-snapshot
On the Interaction of Belief Bias and Explanations
inferredcites →https://doi.org/10.18653/v1/2021.findings-acl.293openalex-snapshot
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.364openalex-snapshot
SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.365openalex-snapshot
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.393openalex-snapshot
Hurdles to Progress in Long-form Question Answering
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.44openalex-snapshot
Open-Domain Question Answering Goes Conversational via Question Rewriting
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.229openalex-snapshot
TruthfulQA: Measuring How Models Mimic Human Falsehoods
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.253openalex-snapshot
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.290openalex-snapshot
MMCoQA: Conversational Question Answering over Text, Tables, and Images
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.34openalex-snapshot
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.370openalex-snapshot
QAConv: Question Answering on Informative Conversations
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.422openalex-snapshot
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.443openalex-snapshot
CARETS: A Consistency And Robustness Evaluative Test Suite for VQA
inferredcites →https://doi.org/10.18653/v1/2022.findings-acl.177openalex-snapshot
ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
inferredcites →https://doi.org/10.18653/v1/2022.findings-acl.196openalex-snapshot
xGQA: Cross-Lingual Visual Question Answering
inferredcites →https://doi.org/10.18653/v1/2022.naacl-industry.34openalex-snapshot
AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.391openalex-snapshot
QuALITY: Question Answering with Long Input Texts, Yes!
inferredcites →https://doi.org/10.18653/v1/2022.naacl-main.90openalex-snapshot
MultiSpanQA: A Dataset for Multi-Span Question Answering
inferredcites →https://doi.org/10.18653/v1/d13-1020openalex-snapshot
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
inferredcites →https://doi.org/10.18653/v1/d13-1160openalex-snapshot
Semantic Parsing on Freebase from Question-Answer Pairs
inferredcites →https://doi.org/10.18653/v1/d15-1135openalex-snapshot
Automatically Solving Number Word Problems by Semantic Parsing and Reasoning
inferredcites →https://doi.org/10.18653/v1/d15-1237openalex-snapshot
WikiQA: A Challenge Dataset for Open-Domain Question Answering
inferredcites →https://doi.org/10.18653/v1/d16-1241openalex-snapshot
Who did What: A Large-Scale Person-Centered Cloze Dataset
inferredcites →https://doi.org/10.18653/v1/d16-1264openalex-snapshot
SQuAD: 100,000+ Questions for Machine Comprehension of Text
inferredcites →https://doi.org/10.18653/v1/d17-1082openalex-snapshot
RACE: Large-scale ReAding Comprehension Dataset From Examinations
inferredcites →https://doi.org/10.18653/v1/d17-1086openalex-snapshot
World Knowledge for Reading Comprehension: Rare Entity Prediction with Hierarchical LSTMs Using External Descriptions
inferredcites →https://doi.org/10.18653/v1/d17-1215openalex-snapshot
Adversarial Examples for Evaluating Reading Comprehension Systems
inferredcites →https://doi.org/10.18653/v1/d18-1009openalex-snapshot
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
inferredcites →https://doi.org/10.18653/v1/d18-1091openalex-snapshot
Identifying Well-formed Natural Language Questions
inferredcites →https://doi.org/10.18653/v1/d18-1167openalex-snapshot
TVQA: Localized, Compositional Video Question Answering
inferredcites →https://doi.org/10.18653/v1/d18-1233openalex-snapshot
Interpretation of Natural Language Rules in Conversational Machine Reading
inferredcites →https://doi.org/10.18653/v1/d18-1241openalex-snapshot
QuAC: Question Answering in Context
inferredcites →https://doi.org/10.18653/v1/d18-1258openalex-snapshot
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
inferredcites →https://doi.org/10.18653/v1/d18-1259openalex-snapshot
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
inferredcites →https://doi.org/10.18653/v1/d18-1260openalex-snapshot
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
inferredcites →https://doi.org/10.18653/v1/d18-1547openalex-snapshot
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling
inferredcites →https://doi.org/10.18653/v1/d19-1107openalex-snapshot
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
inferredcites →https://doi.org/10.18653/v1/d19-1221openalex-snapshot
Universal Adversarial Triggers for Attacking and Analyzing NLP
inferredcites →https://doi.org/10.18653/v1/d19-1243openalex-snapshot
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
inferredcites →https://doi.org/10.18653/v1/d19-1259openalex-snapshot
PubMedQA: A Dataset for Biomedical Research Question Answering
inferredcites →https://doi.org/10.18653/v1/d19-1332openalex-snapshot
“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding
inferredcites →https://doi.org/10.18653/v1/d19-1454openalex-snapshot
Social IQa: Commonsense Reasoning about Social Interactions
inferredcites →https://doi.org/10.18653/v1/d19-1456openalex-snapshot
Posing Fair Generalization Tasks for Natural Language Inference
inferredcites →https://doi.org/10.18653/v1/d19-1458openalex-snapshot
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text
inferredcites →https://doi.org/10.18653/v1/d19-1460openalex-snapshot
Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data
inferredcites →https://doi.org/10.18653/v1/d19-1475openalex-snapshot
MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims
inferredcites →https://doi.org/10.18653/v1/d19-1600openalex-snapshot
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/d19-1605openalex-snapshot
Can You Unpack That? Learning to Rewrite Questions-in-Context
inferredcites →https://doi.org/10.18653/v1/d19-1606openalex-snapshot
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
inferredcites →https://doi.org/10.18653/v1/d19-1608openalex-snapshot
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions
inferredcites →https://doi.org/10.18653/v1/d19-5801openalex-snapshot
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/d19-5808openalex-snapshot
Reasoning Over Paragraph Effects in Situations
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Evaluating Question Answering Evaluation
inferredcites →https://doi.org/10.18653/v1/d19-5820openalex-snapshot
Comprehensive Multi-Dataset Evaluation of Reading Comprehension
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X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
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Zero-Shot Relation Extraction via Reading Comprehension
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Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
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The Web as a Knowledge-Base for Answering Complex Questions
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FEVER: a Large-scale Dataset for Fact Extraction and VERification
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Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog
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Annotation Artifacts in Natural Language Inference Data
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ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters
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FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase
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VQD: Visual Query Detection In Natural Scenes
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Shifting the Baseline: Single Modality Performance on Visual Navigation & QA
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A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC
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DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs
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BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
inferredcites →https://doi.org/10.18653/v1/n19-1421openalex-snapshot
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
inferredcites →https://doi.org/10.18653/v1/p16-1144openalex-snapshot
The LAMBADA dataset: Word prediction requiring a broad discourse context
inferredcites →https://doi.org/10.18653/v1/p16-1145openalex-snapshot
WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia
inferredcites →https://doi.org/10.18653/v1/p17-1075openalex-snapshot
Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability
inferredcites →https://doi.org/10.18653/v1/p17-1147openalex-snapshot
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
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Reading Wikipedia to Answer Open-Domain Questions
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A Corpus of Natural Language for Visual Reasoning
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Event2Mind: Commonsense Inference on Events, Intents, and Reactions
inferredcites →https://doi.org/10.18653/v1/p18-1078openalex-snapshot
Simple and Effective Multi-Paragraph Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/p18-2124openalex-snapshot
Know What You Don’t Know: Unanswerable Questions for SQuAD
inferredcites →https://doi.org/10.18653/v1/p18-3018openalex-snapshot
Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
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Jack the Reader – A Machine Reading Framework
inferredcites →https://doi.org/10.18653/v1/p19-1129openalex-snapshot
Entity-Relation Extraction as Multi-Turn Question Answering
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XQA: A Cross-lingual Open-domain Question Answering Dataset
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Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.18653/v1/2023.bsnlp-1.2openalex-snapshot
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inferred← citeshttps://doi.org/10.18653/v1/2023.eacl-main.130openalex-snapshot
Don’t Blame the Annotator: Bias Already Starts in the Annotation Instructions
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.276openalex-snapshot
Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.625openalex-snapshot
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.861openalex-snapshot
On Degrees of Freedom in Defining and Testing Natural Language Understanding
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-eacl.129openalex-snapshot
Neural Ranking with Weak Supervision for Open-Domain Question Answering : A Survey
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.550openalex-snapshot
Few-shot Unified Question Answering: Tuning Models or Prompts?
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.552openalex-snapshot
Getting MoRE out of Mixture of Language Model Reasoning Experts
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.652openalex-snapshot
NEWTON: Are Large Language Models Capable of Physical Reasoning?
inferred← citeshttps://doi.org/10.18653/v1/2023.ijcnlp-main.45openalex-snapshot
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
inferred← citeshttps://doi.org/10.18653/v1/2023.law-1.25openalex-snapshot
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
inferred← citeshttps://doi.org/10.18653/v1/2023.nllp-1.13openalex-snapshot
Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA
inferred← citeshttps://doi.org/10.23887/jppp.v8i1.65693openalex-snapshot
Teaching Materials for Reading in a Professional Context to Improve the Reading Skills of English Education Program Students
inferred← citeshttps://doi.org/10.26615/issn.2603-2821.2021_028openalex-snapshot
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators
inferred← citeshttps://doi.org/10.31460/mbdd.1810418openalex-snapshot
YAPAY ZEKÂ DESTEKLİ DOĞAL DİL İŞLEME YAKLAŞIMLARININ MUHASEBE BİLGİ SİSTEMLERİNE ENTEGRASYONU
inferred← citeshttps://doi.org/10.32362/2500-316x-2024-12-5-7-1openalex-snapshot
Automating the search for legal information in Arabic: A novel approach to document retrieval
inferred← citeshttps://doi.org/10.32388/phs6ynopenalex-snapshot
MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems
inferred← citeshttps://doi.org/10.32604/cmes.2023.046692openalex-snapshot
PAL-BERT: An Improved Question Answering Model
inferred← citeshttps://doi.org/10.3390/buildings15142413openalex-snapshot
An Intelligent Natural Language Processing (NLP) Workflow for Automated Smart Building Design
inferred← citeshttps://doi.org/10.3390/computers14090354openalex-snapshot
Legal AI in Low-Resource Languages: Building and Evaluating QA Systems for the Kazakh Legislation
inferred← citeshttps://doi.org/10.3390/info16090760openalex-snapshot
Beyond Cross-Entropy: Discounted Least Information Theory of Entropy (DLITE) Loss and the Impact of Loss Functions on AI-Driven Named Entity Recognition
inferred← citeshttps://doi.org/10.3390/jcm14186353openalex-snapshot
Expert Evaluation of ChatGPT-4 Responses to Upper Tract Urothelial Carcinoma Questions: A Prospective Comparative Study with Guideline-Based and Patient-Focused Queries
inferred← citeshttps://doi.org/10.36702/zin2025.01.05eopenalex-snapshot
Quantitative analysis of datasets and their usage patterns in language models
inferred← citeshttps://doi.org/10.37251/jolle.v2i2.2296openalex-snapshot
An Analysis of Simple Past Tense Errors in Grade X Students’ Recount Texts
inferred← citeshttps://doi.org/10.4018/979-8-3693-2284-0.ch004openalex-snapshot
Improved Framework Model to Train and Evaluate Difficulty of Interview Question Using Generative AI
inferred← citeshttps://doi.org/10.4236/jamp.2023.1111227openalex-snapshot
Research on Dynamic Mathematical Resource Screening Methods Based on Machine Learning
inferred← citeshttps://doi.org/10.47119/ijrp1001261620224966openalex-snapshot
Students’ Perception of Reciprocal Reading Strategies and Their Reading Performance
inferred← citeshttps://doi.org/10.48084/etasr.14229openalex-snapshot
A Review of Question-Answering Systems Using Deep Learning in the Arabic Language
inferred← citeshttps://doi.org/10.48550/arxiv.2302.09051openalex-snapshot
Complex QA and language models hybrid architectures, Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2303.07069openalex-snapshot
Generating multiple-choice questions for medical question answering with distractors and cue-masking
inferred← citeshttps://doi.org/10.54691/qayscj09openalex-snapshot
Research on Safe Wearable Target Detection Technology for Power Production Scenarios based on YOLOv5-C3CA
inferred← citeshttps://doi.org/10.63028/10067/2023030151162165141openalex-snapshot
Studies in conversational AI : multilingual capabilities, world knowledge, and evaluation strategies
inferred← citeshttps://doi.org/10.70838/pemj.350203openalex-snapshot
Talking through Text: A Reading Comprehension Strategy in Araling Panlipunan 7
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