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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 5 6 7 8 9...48 Hits 81 – 100 of 941 81 Journalistic Guidelines Aware News Image Captioning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Joel; Jaimes, Alejandro. - : Underline Science Inc., 2021 BASE Show details 82 MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dusek, Ondrej; Konstas, Ioannis. - : Underline Science Inc., 2021 BASE Show details 83 Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Ramakanth; Bansal, Mohit. - : Underline Science Inc., 2021 BASE Show details 84 Fine-grained Factual Consistency Assessment for Abstractive Summarization Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Niu, Jianwei; Wei, Chuyuan. - : Underline Science Inc., 2021 BASE Show details 85 Modeling Endorsement for Multi-Document Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Zhe; Lebanoff, Logan; Liu, Fei; Wang, Bingqing. - : Underline Science Inc., 2021 Abstract: A crucial difference between single- and multi-document summarization is how salient content manifests itself in the document(s). While such content may appear at the beginning of a single document, essential information is frequently reiterated in a set of documents related to a particular topic, resulting in an endorsement effect that increases information salience. In this paper, we model the cross-document endorsement effect and its utilization in multiple document summarization. Our method generates a synopsis from each document, which serves as an endorser to identify salient content from other documents. Strongly endorsed text segments are used to enrich a neural encoder-decoder model to consolidate them into an abstractive summary. The method has a great potential to learn from fewer examples to identify salient content, which alleviates the need for costly retraining when the set of documents is dynamically adjusted. Through extensive experiments on benchmark multi-document summarization datasets, ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization URL: https://dx.doi.org/10.48448/dpe6-2t70 https://underline.io/lecture/39832-modeling-endorsement-for-multi-document-abstractive-summarization BASE Hide details 86 COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berant, Jonathan; Bogin, Ben. - : Underline Science Inc., 2021 BASE Show details 87 Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Tuggener, Don. - : Underline Science Inc., 2021 BASE Show details 88 A Large-Scale Dataset for Empathetic Response Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Pu, Pearl; Welivita, Kalpani Anuradha. - : Underline Science Inc., 2021 BASE Show details 89 Convex Aggregation for Opinion Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Angelidis, Stefanos; Iso, Hayate. - : Underline Science Inc., 2021 BASE Show details 90 Knowledge and Keywords Augmented Abstractive Sentence Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Zhihua; Guan, Shuo. - : Underline Science Inc., 2021 BASE Show details 91 Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Artzi, Yoav; Kojima, Noriyuki. - : Underline Science Inc., 2021 BASE Show details 92 Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Tan, Xin; Zhang, Longyin. - : Underline Science Inc., 2021 BASE Show details 93 Sentence-level Planning for Especially Abstractive Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Henderson, James; Marfurt, Andreas. - : Underline Science Inc., 2021 BASE Show details 94 Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Choi, Yejin; D. Hwang, Jena. - : Underline Science Inc., 2021 BASE Show details 95 Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Deng, Mingkai; Hu, Zhiting. - : Underline Science Inc., 2021 BASE Show details 96 Aspect-Controllable Opinion Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Amplayo, Reinald Kim; Angelidis, Stefanos. - : Underline Science Inc., 2021 BASE Show details 97 Measuring Similarity of Opinion-bearing Sentences ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Stephen; Karimi, Sarvnaz. - : Underline Science Inc., 2021 BASE Show details 98 Learning Compact Metrics for MT ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chung, Hyung Won; Gehrmann, Sebastian. - : Underline Science Inc., 2021 BASE Show details 99 Models and Datasets for Cross-Lingual Summarisation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lapata, Mirella; Perez-Beltrachini, Laura. - : Underline Science Inc., 2021 BASE Show details 100 Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Iryna; Pfeiffer, Jonas. - : Underline Science Inc., 2021 BASE Show details Page: 1 2 3 4 5 6 7 8 9...48

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