
Title |
|---|
![]() Copy Is All You NeedInternational Conference on Learning Representations (ICLR), 2023 |
![]() TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for
Dialogue-based Relation ExtractionInternational Conference on Computer Supported Cooperative Work in Design (CSCWD), 2023 |
![]() An Empirical Study on Finding SpansConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
![]() SPOT: Knowledge-Enhanced Language Representations for Information
ExtractionInternational Conference on Information and Knowledge Management (CIKM), 2022 |
![]() Parameter-Efficient Abstractive Question Answering over Tables or TextWorkshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc), 2022 |
![]() ANNA: Enhanced Language Representation for Question AnsweringWorkshop on Representation Learning for NLP (RepL4NLP), 2022 |
![]() TREND: Trigger-Enhanced Relation-Extraction Network for DialoguesSIGDIAL Conferences (SIGDIAL), 2021 |
![]() Open Domain Question Answering over Tables via Dense RetrievalNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 |
![]() Do Question Answering Modeling Improvements Hold Across Benchmarks?Annual Meeting of the Association for Computational Linguistics (ACL), 2021 |
![]() A Joint Training Dual-MRC Framework for Aspect Based Sentiment AnalysisAAAI Conference on Artificial Intelligence (AAAI), 2021 |
![]() Learning Dense Representations of Phrases at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
![]() When in Doubt, Ask: Generating Answerable and Unanswerable Questions,
UnsupervisedInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2020 |
![]() End-to-End Neural Event Coreference ResolutionArtificial Intelligence (AIJ), 2020 |
![]() Rethinking the Objectives of Extractive Question AnsweringWorkshop on Machine Reading for Question Answering (MRQA), 2020 |
![]() Empirical Evaluation of Pretraining Strategies for Supervised Entity
LinkingConference on Automated Knowledge Base Construction (AKBC), 2020 |
![]() Look at the First Sentence: Position Bias in Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
![]() The Effect of Natural Distribution Shift on Question Answering ModelsInternational Conference on Machine Learning (ICML), 2020 |
![]() REALM: Retrieval-Augmented Language Model Pre-TrainingInternational Conference on Machine Learning (ICML), 2020 |
![]() A Survey on Machine Reading Comprehension SystemsNatural Language Engineering (NLE), 2020 |
![]() TutorialVQA: Question Answering Dataset for Tutorial VideosInternational Conference on Language Resources and Evaluation (LREC), 2019 |
![]() Contextualized Sparse Representations for Real-Time Open-Domain Question
AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
![]() Giving BERT a Calculator: Finding Operations and Arguments with Reading
ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
![]() GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for
Conversational Machine ComprehensionInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 |
![]() SpanBERT: Improving Pre-training by Representing and Predicting SpansTransactions of the Association for Computational Linguistics (TACL), 2019 |
![]() Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and
ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
![]() Latent Retrieval for Weakly Supervised Open Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
![]() QANet: Combining Local Convolution with Global Self-Attention for
Reading ComprehensionInternational Conference on Learning Representations (ICLR), 2018 |
![]() Phrase-Indexed Question Answering: A New Challenge for Scalable Document
ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP), 2018 |