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DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension

https://doi.org/10.1162/tacl_a_00264
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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inferredcites →https://doi.org/10.1162/tacl_a_00023openalex-snapshot
The NarrativeQA Reading Comprehension Challenge
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CoQA: A Conversational Question Answering Challenge
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How Large a Vocabulary Is Needed for Reading and Listening?
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Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences
inferredcites →https://doi.org/10.18653/v1/n18-1185openalex-snapshot
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inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
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inferredcites →https://doi.org/10.18653/v1/p16-1223openalex-snapshot
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inferredcites →https://doi.org/10.18653/v1/p17-1025openalex-snapshot
Verb Physics: Relative Physical Knowledge of Actions and Objects
inferredcites →https://doi.org/10.18653/v1/p17-1147openalex-snapshot
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/p17-1168openalex-snapshot
Gated-Attention Readers for Text Comprehension
inferredcites →https://doi.org/10.18653/v1/p18-2118openalex-snapshot
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inferredcites →https://doi.org/10.18653/v1/s18-1119openalex-snapshot
SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge
inferredcites →https://doi.org/10.18653/v1/w16-3612openalex-snapshot
Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows
inferredcites →https://doi.org/10.21437/interspeech.2016-876openalex-snapshot
Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine
inferredcites →https://doi.org/10.3115/1118108.1118117openalex-snapshot
NLTK
inferredcites →https://doi.org/10.3115/1219044.1219075openalex-snapshot
NLTK
inferredcites →https://doi.org/10.3138/cmlr.63.1.59openalex-snapshot
How Large a Vocabulary is Needed For Reading and Listening?
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1506.03340openalex-snapshot
Teaching Machines to Read and Comprehend
inferredcites →https://doi.org/10.48550/arxiv.1511.02301openalex-snapshot
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
inferredcites →https://doi.org/10.48550/arxiv.1606.05250openalex-snapshot
SQuAD: 100,000+ Questions for Machine Comprehension of Text
inferredcites →https://doi.org/10.48550/arxiv.1612.03975openalex-snapshot
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
inferredcites →https://doi.org/10.48550/arxiv.1704.05179openalex-snapshot
SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
inferredcites →https://doi.org/10.48550/arxiv.1803.09074openalex-snapshot
Multi-range Reasoning for Machine Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1804.00320openalex-snapshot
Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1804.09541openalex-snapshot
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
inferredcites →https://doi.org/10.48550/arxiv.cs/0205028openalex-snapshot
NLTK: The Natural Language Toolkit

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inferred← citeshttps://doi.org/10.18653/v1/2021.findings-emnlp.6openalex-snapshot
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data
inferred← citeshttps://doi.org/10.18653/v1/2021.inlg-1.33openalex-snapshot
DialogSum Challenge: Summarizing Real-Life Scenario Dialogues
inferred← citeshttps://doi.org/10.18653/v1/2021.naacl-main.104openalex-snapshot
Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization
inferred← citeshttps://doi.org/10.18653/v1/2021.nlp4posimpact-1.8openalex-snapshot
Challenges for Information Extraction from Dialogue in Criminal Law
inferred← citeshttps://doi.org/10.18653/v1/2021.semeval-1.110openalex-snapshot
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
inferred← citeshttps://doi.org/10.18653/v1/2021.sigdial-1.33openalex-snapshot
CIDER: Commonsense Inference for Dialogue Explanation and Reasoning
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.23openalex-snapshot
Structural Characterization for Dialogue Disentanglement
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.370openalex-snapshot
QAConv: Question Answering on Informative Conversations
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.594openalex-snapshot
Lite Unified Modeling for Discriminative Reading Comprehension
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-long.598openalex-snapshot
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
inferred← citeshttps://doi.org/10.18653/v1/2022.acl-short.23openalex-snapshot
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.177openalex-snapshot
Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue Modeling
inferred← citeshttps://doi.org/10.18653/v1/2022.emnlp-main.329openalex-snapshot
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.189openalex-snapshot
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.416openalex-snapshot
Task Compass: Scaling Multi-task Pre-training with Task Prefix
inferred← citeshttps://doi.org/10.18653/v1/2022.findings-emnlp.527openalex-snapshot
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.201openalex-snapshot
MetaICL: Learning to Learn In Context
inferred← citeshttps://doi.org/10.18653/v1/2022.naacl-main.313openalex-snapshot
ProQA: Structural Prompt-based Pre-training for Unified Question Answering
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.659openalex-snapshot
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.666openalex-snapshot
In-sample Curriculum Learning by Sequence Completion for Natural Language Generation
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-long.837openalex-snapshot
MeetingQA: Extractive Question-Answering on Meeting Transcripts
inferred← citeshttps://doi.org/10.18653/v1/2023.acl-short.72openalex-snapshot
Using contradictions improves question answering systems
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.342openalex-snapshot
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.474openalex-snapshot
Instructive Dialogue Summarization with Query Aggregations
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.550openalex-snapshot
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.631openalex-snapshot
Contrastive Learning for Inference in Dialogue
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-main.939openalex-snapshot
Prompting with Pseudo-Code Instructions
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.111openalex-snapshot
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.306openalex-snapshot
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.428openalex-snapshot
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-acl.558openalex-snapshot
MVP: Multi-task Supervised Pre-training for Natural Language Generation
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-eacl.154openalex-snapshot
Towards End-to-End Open Conversational Machine Reading
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.460openalex-snapshot
Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization
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.861openalex-snapshot
COMET-M: Reasoning about Multiple Events in Complex Sentences
inferred← citeshttps://doi.org/10.18653/v1/2023.nlp4convai-1openalex-snapshot
Proceedings of the 5th Workshop on NLP for Conversational AI (NLP4ConvAI 2023)
inferred← citeshttps://doi.org/10.18653/v1/2023.nlp4convai-1.2openalex-snapshot
On the Underspecification of Situations in Open-domain Conversational Datasets
inferred← citeshttps://doi.org/10.18653/v1/d19-1244openalex-snapshot
Finding Generalizable Evidence by Learning to Convince Q&A Models
inferred← citeshttps://doi.org/10.18653/v1/d19-1605openalex-snapshot
Can You Unpack That? Learning to Rewrite Questions-in-Context
inferred← citeshttps://doi.org/10.18653/v1/d19-6003openalex-snapshot
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
inferred← citeshttps://doi.org/10.18653/v1/k19-1065openalex-snapshot
Evidence Sentence Extraction for Machine Reading Comprehension
inferred← citeshttps://doi.org/10.18653/v1/p19-1543openalex-snapshot
Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension
inferred← citeshttps://doi.org/10.18653/v1/w19-5923openalex-snapshot
FriendsQA: Open-Domain Question Answering on TV Show Transcripts
inferred← citeshttps://doi.org/10.21203/rs.3.rs-6680435/v1openalex-snapshot
Optimizing GPT-Based Distractor Generation for the Korean CSAT English Exam
inferred← citeshttps://doi.org/10.2200/s01118ed1v01y202107hlt051openalex-snapshot
Explainable Natural Language Processing
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/10.26615/978-954-452-056-4_053openalex-snapshot
Beyond English-Only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian
inferred← citeshttps://doi.org/10.3233/jifs-189386openalex-snapshot
Data mining artificial intelligence technology for college english test framework and performance analysis system
inferred← citeshttps://doi.org/10.3390/ai4040049openalex-snapshot
Who Needs External References?—Text Summarization Evaluation Using Original Documents
inferred← citeshttps://doi.org/10.3390/app10217640openalex-snapshot
A Survey on Machine Reading Comprehension—Tasks, Evaluation Metrics and Benchmark Datasets
inferred← citeshttps://doi.org/10.3390/app12063072openalex-snapshot
Exploiting Diverse Information in Pre-Trained Language Model for Multi-Choice Machine Reading Comprehension
inferred← citeshttps://doi.org/10.3390/app12094099openalex-snapshot
Considering Commonsense in Solving QA: Reading Comprehension with Semantic Search and Continual Learning
inferred← citeshttps://doi.org/10.3390/mi13030355openalex-snapshot
Human–Machine Multi-Turn Language Dialogue Interaction Based on Deep Learning
inferred← citeshttps://doi.org/10.33902/jpr.202427734openalex-snapshot
Artificial intelligence in foreign language learning: A bibliometric analysis
inferred← citeshttps://doi.org/10.34248/bsengineering.1849342openalex-snapshot
Dissecting Medical RAG: Why Reranking Matters More Than Complexity in Question Answering
inferred← citeshttps://doi.org/10.48550/arxiv.1904.01172openalex-snapshot
Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches
inferred← citeshttps://doi.org/10.48550/arxiv.1909.00277openalex-snapshot
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
inferred← citeshttps://doi.org/10.48550/arxiv.1909.05863openalex-snapshot
Finding Generalizable Evidence by Learning to Convince Q&A Models
inferred← citeshttps://doi.org/10.48550/arxiv.1909.09743openalex-snapshot
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach
inferred← citeshttps://doi.org/10.48550/arxiv.1910.12391openalex-snapshot
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
inferred← citeshttps://doi.org/10.48550/arxiv.1911.00773openalex-snapshot
Design and Challenges of Cloze-Style Reading Comprehension Tasks on Multiparty Dialogue
inferred← citeshttps://doi.org/10.48550/arxiv.2002.04326openalex-snapshot
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
inferred← citeshttps://doi.org/10.48550/arxiv.2003.04707openalex-snapshot
Neuro-symbolic Architectures for Context Understanding
inferred← citeshttps://doi.org/10.48550/arxiv.2003.04992openalex-snapshot
Multi-task Learning with Multi-head Attention for Multi-choice Reading Comprehension
inferred← citeshttps://doi.org/10.48550/arxiv.2004.05986openalex-snapshot
CLUE: A Chinese Language Understanding Evaluation Benchmark
inferred← citeshttps://doi.org/10.48550/arxiv.2004.13818openalex-snapshot
A Survey of Document Grounded Dialogue Systems (DGDS)
inferred← citeshttps://doi.org/10.48550/arxiv.2004.13988openalex-snapshot
Knowledgeable Dialogue Reading Comprehension on Key Turns
inferred← citeshttps://doi.org/10.48550/arxiv.2005.06249openalex-snapshot
Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
inferred← citeshttps://doi.org/10.48550/arxiv.2008.12878openalex-snapshot
Knowledge Efficient Deep Learning for Natural Language Processing
inferred← citeshttps://doi.org/10.48550/arxiv.2009.09099openalex-snapshot
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks
inferred← citeshttps://doi.org/10.48550/arxiv.2009.14725openalex-snapshot
A Vietnamese Dataset for Evaluating Machine Reading Comprehension
inferred← citeshttps://doi.org/10.48550/arxiv.2010.05581openalex-snapshot
Counterfactual Variable Control for Robust and Interpretable Question Answering
inferred← citeshttps://doi.org/10.48550/arxiv.2011.03292openalex-snapshot
Improving Machine Reading Comprehension with Single-choice Decision and Transfer Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2011.06737openalex-snapshot
Unsupervised Explanation Generation for Machine Reading Comprehension
inferred← citeshttps://doi.org/10.48550/arxiv.2012.14535openalex-snapshot
Robust Dialogue Utterance Rewriting as Sequence Tagging
inferred← citeshttps://doi.org/10.48550/arxiv.2102.05474openalex-snapshot
Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledge
inferred← citeshttps://doi.org/10.48550/arxiv.2103.00820openalex-snapshot
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues
inferred← citeshttps://doi.org/10.48550/arxiv.2106.09896openalex-snapshot
Continuity of Topic, Interaction, and Query: Learning to Quote in Online Conversations
inferred← citeshttps://doi.org/10.48550/arxiv.2109.04655openalex-snapshot
Zero-Shot Dialogue State Tracking via Cross-Task Transfer
inferred← citeshttps://doi.org/10.48550/arxiv.2109.05149openalex-snapshot
Extract, Integrate, Compete: Towards Verification Style Reading Comprehension
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