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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 77 1 Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review ... Li, Irene; Pan, Jessica; Goldwasser, Jeremy. - : arXiv, 2021 BASE Show details 2 CLICKER: A Computational LInguistics Classification Scheme for Educational Resources ... Hingmire, Swapnil; Li, Irene; Kawamura, Rena. - : arXiv, 2021 BASE Show details 3 CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning ... Tang, Xiangru; Nair, Arjun; Wang, Borui; Wang, Bingyao; Desai, Jai; Wade, Aaron; Li, Haoran; Celikyilmaz, Asli; Mehdad, Yashar; Radev, Dragomir. - : arXiv, 2021 Abstract: Factual inconsistencies in generated summaries severely limit the practical applications of abstractive dialogue summarization. Although significant progress has been achieved by using pre-trained models, substantial amounts of hallucinated content are found during the human evaluation. Pre-trained models are most commonly fine-tuned with cross-entropy loss for text summarization, which may not be an optimal strategy. In this work, we provide a typology of factual errors with annotation data to highlight the types of errors and move away from a binary understanding of factuality. We further propose a training strategy that improves the factual consistency and overall quality of summaries via a novel contrastive fine-tuning, called ConFiT. Based on our linguistically-informed typology of errors, we design different modular objectives that each target a specific type. Specifically, we utilize hard negative samples with errors to reduce the generation of factual inconsistency. In order to capture the key ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2112.08713 https://arxiv.org/abs/2112.08713 BASE Hide details 4 SummEval: Re-evaluating Summarization Evaluation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Fabbri, Alexander; Kryściński, Wojciech. - : Underline Science Inc., 2021 BASE Show details 5 ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Fabbri, Alexander; Li, Haoran. - : Underline Science Inc., 2021 BASE Show details 6 R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning ... The 28th International Conference on Computational Linguistics 2020; Fabbri, Alexander; Hingmire, Swapnil. - : Underline Science Inc., 2020 BASE Show details 7 Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations ... Zhang, Rui; Westerfield, Caitlin; Shim, Sungrok. - : arXiv, 2019 BASE Show details 8 ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks ... Yasunaga, Michihiro; Kasai, Jungo; Zhang, Rui. - : arXiv, 2019 BASE Show details 9 Overview and Results: CL-SciSumm Shared Task 2019 ... Chandrasekaran, Muthu Kumar; Yasunaga, Michihiro; Radev, Dragomir. - : arXiv, 2019 BASE Show details 10 Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model ... Fabbri, Alexander R.; Li, Irene; She, Tianwei. - : arXiv, 2019 BASE Show details 11 The CL-SciSumm Shared Task 2018: Results and Key Insights ... Jaidka, Kokil; Yasunaga, Michihiro; Chandrasekaran, Muthu Kumar. - : arXiv, 2019 BASE Show details 12 Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions ... Zhang, Rui; Yu, Tao; Er, He Yang. - : arXiv, 2019 BASE Show details 13 TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation ... Fabbri, Alexander R.; Li, Irene; Trairatvorakul, Prawat. - : arXiv, 2018 BASE Show details 14 Selecting and Generating Computational Meaning Representations for Short Texts Finegan-Dollak, Catherine. - 2018 BASE Show details 15 Robust Multilingual Part-of-Speech Tagging via Adversarial Training ... Yasunaga, Michihiro; Kasai, Jungo; Radev, Dragomir. - : arXiv, 2017 BASE Show details 16 Classifying Syntactic Regularities for Hundreds of Languages ... Coke, Reed; King, Ben; Radev, Dragomir. - : arXiv, 2016 BASE Show details 17 Predicting the impact of scientific concepts using full‐text features McKeown, Kathy; Daume, Hal; Chaturvedi, Snigdha. - : Association for Computational Linguistics, 2016. : Wiley Periodicals, Inc., 2016 BASE Show details 18 Sentence simplification, compression, and disaggregation for summarization of sophisticated documents Finegan‐dollak, Catherine; Radev, Dragomir R.. - : Association for Computational Linguistics, 2016. : Wiley Periodicals, Inc., 2016 BASE Show details 19 Puzzles in Logic, Languages and Computation : The Red Book Radev, Dragomir [Herausgeber]; Pustejovsky, James [Verfasser eines Vorworts]. - Berlin : Springer Berlin, 2015 DNB Subject Category Language Show details 20 Puzzles in Logic, Languages and Computation : The Green Book Radev, Dragomir. - Berlin : Springer Berlin, 2015 DNB Subject Category Language Show details Page: 1 2 3 4

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