 Event-Keyed SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 From Chaos to Clarity: Claim Normalization to Empower Fact-CheckingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Ask To The Point: Open-Domain Entity-Centric Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Generating Summaries with Controllable Readability LevelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Toward Unified Controllable Text Generation via Regular Expression
InstructionInternational Joint Conference on Natural Language Processing (IJCNLP), 2023 |
 Inducing Causal Structure for Abstractive Text SummarizationInternational Conference on Information and Knowledge Management (CIKM), 2023 |
 PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase
GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Controlling keywords and their positions in text generationInternational Conference on Natural Language Generation (INLG), 2023 |
 SPEC: Summary Preference Decomposition for Low-Resource Abstractive
SummarizationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023 |
 Socratic Pretraining: Question-Driven Pretraining for Controllable
SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 NarraSum: A Large-Scale Dataset for Abstractive Narrative SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 AutoTemplate: A Simple Recipe for Lexically Constrained Text GenerationInternational Conference on Natural Language Generation (INLG), 2022 |
 Time-aware Prompting for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 SentBS: Sentence-level Beam Search for Controllable SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Referee: Reference-Free Sentence Summarization with Sharper
Controllability through Symbolic Knowledge DistillationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Metric-guided Distillation: Distilling Knowledge from the Metric to
Ranker and Retriever for Generative Commonsense ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Psychology-guided Controllable Story GenerationInternational Conference on Computational Linguistics (COLING), 2022 |
 Readability Controllable Biomedical Document SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Topic-Controllable Summarization: Topic-Aware Evaluation and Transformer
MethodsInternational Conference on Language Resources and Evaluation (LREC), 2022 |
 NEWTS: A Corpus for News Topic-Focused SummarizationFindings (Findings), 2022 |
 Learning to Revise References for Faithful SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 EntSUM: A Data Set for Entity-Centric SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
 Controlling the Focus of Pretrained Language Generation ModelsFindings (Findings), 2022 |
 Data-to-text Generation with Variational Sequential PlanningTransactions of the Association for Computational Linguistics (TACL), 2022 |
 Unsupervised Multi-Granularity SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
 Incorporating Question Answering-Based Signals into Abstractive
Summarization via Salient Span SelectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
