 On Extractive and Abstractive Neural Document Summarization with
Transformer Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Incorporating External Knowledge into Machine Reading for Generative
Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Informative and Controllable Opinion SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2019 |
 Distributionally Robust Language ModelingConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 An Entity-Driven Framework for Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Mixture Content Selection for Diverse Sequence GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Neural Linguistic SteganographyConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Deep Reinforcement Learning with Distributional Semantic Rewards for
Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System
Biases in SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 DeepCopy: Grounded Response Generation with Hierarchical Pointer
NetworksSIGDIAL Conferences (SIGDIAL), 2019 |
 Facet-Aware Evaluation for Extractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Neural Text Summarization: A Critical EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 |
 Text Summarization with Pretrained EncodersConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Yang Liu Mirella Lapata |
 Generative Question Refinement with Deep Reinforcement Learning in
Retrieval-based QA SystemInternational Conference on Information and Knowledge Management (CIKM), 2019 |
 Simple Unsupervised Summarization by Contextual MatchingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Abstractive Document Summarization without Parallel DataInternational Conference on Language Resources and Evaluation (LREC), 2019 |
 Text-to-SQL Generation for Question Answering on Electronic Medical
RecordsThe Web Conference (WWW), 2019 |
 INS: An Interactive Chinese News Synthesis SystemNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019 |
 MacNet: Transferring Knowledge from Machine Comprehension to
Sequence-to-Sequence ModelsNeural Information Processing Systems (NeurIPS), 2019 |
 Trends in Integration of Vision and Language Research: A Survey of
Tasks, Datasets, and MethodsJournal of Artificial Intelligence Research (JAIR), 2019 |
 What is this Article about? Extreme Summarization with Topic-aware
Convolutional Neural NetworksJournal of Artificial Intelligence Research (JAIR), 2019 |
 STRASS: A Light and Effective Method for Extractive Summarization Based
on Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Semantic Parsing with Dual LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Searching for Effective Neural Extractive Summarization: What Works and
What's NextAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Eliciting Knowledge from Experts:Automatic Transcript Parsing for
Cognitive Task AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Multimodal Abstractive Summarization for How2 VideosAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics
GenerationPacific Rim International Conference on Artificial Intelligence (PRICAI), 2019 |
 Comparison of Diverse Decoding Methods from Conditional Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 DocRED: A Large-Scale Document-Level Relation Extraction DatasetAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Unsupervised Neural Single-Document Summarization of Reviews via
Learning Latent Discourse Structure and its RankingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Keeping Notes: Conditional Natural Language Generation with a Scratchpad
MechanismAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 BiSET: Bi-directional Selective Encoding with Template for Abstractive
SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Self-Supervised Learning for Contextualized Extractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 BIGPATENT: A Large-Scale Dataset for Abstractive and Coherent
SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Sentence Centrality Revisited for Unsupervised SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Extracting Symptoms and their Status from Clinical ConversationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
 Multi-News: a Large-Scale Multi-Document Summarization Dataset and
Abstractive Hierarchical ModelAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 |
