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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 Hits 1 – 11 of 11 1 The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Gehrmann, Sebastian; Adewumi, Tosin; Aggarwal, Karmanya... In: Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021) ; https://hal.archives-ouvertes.fr/hal-03466171 ; Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩ (2021) BASE Show details 2 The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ... Gehrmann, Sebastian; Adewumi, Tosin; Aggarwal, Karmanya. - : arXiv, 2021 BASE Show details 3 Towards Syntax-Aware DialogueSummarization using Multi-task Learning ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Lee, Seolhwa; Lim, Heuiseok. - : Underline Science Inc., 2021 BASE Show details 4 Who speaks like a style of Vitamin: Towards Syntax-Aware DialogueSummarization using Multi-task Learning ... Lee, Seolhwa; Yang, Kisu; Park, Chanjun; Sedoc, João; Lim, Heuiseok. - : arXiv, 2021 Abstract: Abstractive dialogue summarization is a challenging task for several reasons. First, most of the important pieces of information in a conversation are scattered across utterances through multi-party interactions with different textual styles. Second, dialogues are often informal structures, wherein different individuals express personal perspectives, unlike text summarization, tasks that usually target formal documents such as news articles. To address these issues, we focused on the association between utterances from individual speakers and unique syntactic structures. Speakers have unique textual styles that can contain linguistic information, such as voiceprint. Therefore, we constructed a syntax-aware model by leveraging linguistic information (i.e., POS tagging), which alleviates the above issues by inherently distinguishing sentences uttered from individual speakers. We employed multi-task learning of both syntax-aware information and dialogue summarization. To the best of our knowledge, our approach ... : This work has been accepted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2109.14199 https://arxiv.org/abs/2109.14199 BASE Hide details 5 Natural language processing methods are sensitive to sub-clinical linguistic differences in schizophrenia spectrum disorders Tang, Sunny X.; Kriz, Reno; Cho, Sunghye... In: NPJ Schizophr (2021) BASE Show details 6 Measuring the `I don't know' Problem through the Lens of Gricean Quantity ... Khayrallah, Huda; Sedoc, João. - : arXiv, 2020 BASE Show details 7 SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training ... Khayrallah, Huda; Sedoc, João. - : arXiv, 2020 BASE Show details 8 Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification ... Kriz, Reno; Sedoc, João; Apidianaki, Marianna. - : arXiv, 2019 BASE Show details 9 Comparison of Diverse Decoding Methods from Conditional Language Models ... Ippolito, Daphne; Kriz, Reno; Kustikova, Maria. - : arXiv, 2019 BASE Show details 10 Learning Word Ratings for Empathy and Distress from Document-Level User Responses ... Sedoc, João; Buechel, Sven; Nachmany, Yehonathan. - : arXiv, 2019 BASE Show details 11 Unsupervised Post-processing of Word Vectors via Conceptor Negation ... Liu, Tianlin; Ungar, Lyle; Sedoc, João. - : arXiv, 2018 BASE Show details

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