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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...8 Hits 1 – 20 of 157 1 Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings ... Saravanakumar, Kailash Karthik; Ballesteros, Miguel; Chandrasekaran, Muthu Kumar. - : arXiv, 2021 BASE Show details 2 Improving Factual Consistency of Abstractive Summarization via Question Answering ... 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; Arnold, Andrew; McKeown, Kathleen. - : Underline Science Inc., 2021 BASE Show details 3 InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ... 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; Bansal, Mohit; Chang, Shih-Fu. - : Underline Science Inc., 2021 BASE Show details 4 A Bag of Tricks for Dialogue Summarization ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ballesteros, Miguel; Khalifa, Muhammad. - : Underline Science Inc., 2021 BASE Show details 5 Event-Centric Natural Language Processing ... 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; Chen, Muhao; Ji, Heng. - : Underline Science Inc., 2021 BASE Show details 6 Cross-language Sentence Selection via Data Augmentation and Rationale Training ... 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; Chen, Yanda; Galuščáková, Petra. - : Underline Science Inc., 2021 BASE Show details 7 Event Guided Denoising for Multilingual Relation Learning ... Ananthram, Amith; Allaway, Emily; McKeown, Kathleen. - : arXiv, 2020 BASE Show details 8 WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization ... Ladhak, Faisal; Durmus, Esin; Cardie, Claire. - : arXiv, 2020 BASE Show details 9 Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages ... The 28th International Conference on Computational Linguistics 2020; Diab, Mona; Kayi, Efsun. - : Underline Science Inc., 2020 BASE Show details 10 Event-Guided Denoising for Multilingual Relation Learning ... The 28th International Conference on Computational Linguistics 2020; Allaway, Emily; Ananthram, Amith. - : Underline Science Inc., 2020 BASE Show details 11 Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations ... Allaway, Emily; McKeown, Kathleen. - : arXiv, 2020 BASE Show details 12 Incorporating Terminology Constraints in Automatic Post-Editing ... Wan, David; Kedzie, Chris; Ladhak, Faisal; Carpuat, Marine; McKeown, Kathleen. - : arXiv, 2020 Abstract: Users of machine translation (MT) may want to ensure the use of specific lexical terminologies. While there exist techniques for incorporating terminology constraints during inference for MT, current APE approaches cannot ensure that they will appear in the final translation. In this paper, we present both autoregressive and non-autoregressive models for lexically constrained APE, demonstrating that our approach enables preservation of 95% of the terminologies and also improves translation quality on English-German benchmarks. Even when applied to lexically constrained MT output, our approach is able to improve preservation of the terminologies. However, we show that our models do not learn to copy constraints systematically and suggest a simple data augmentation technique that leads to improved performance and robustness. ... : To appear in WMT, 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2010.09608 https://dx.doi.org/10.48550/arxiv.2010.09608 BASE Hide details 13 A Unified Feature Representation for Lexical Connotations ... Allaway, Emily; McKeown, Kathleen. - : arXiv, 2020 BASE Show details 14 Subtitles to Segmentation: Improving Low-Resource Speech-to-Text Translation Pipelines ... Wan, David; Jiang, Zhengping; Kedzie, Chris. - : arXiv, 2020 BASE Show details 15 Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing Patton, Desmond U.; Lee, Fei-Tzin; Frey, William R.... In: Proc AAAI ACM Conf AI Ethics Soc (2020) BASE Show details 16 SMARTies: Sentiment Models for Arabic Target Entities ... Farra, Noura; McKeown, Kathleen. - : arXiv, 2017 BASE Show details 17 Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation Biran, Or; McKeown, Kathleen. - : The Association for Computational Linguistics, 2013 BASE Show details 18 Aggregated Word Pair Features for Implicit Discourse Relation Disambiguation ... Biran, Or; McKeown, Kathleen. - : Columbia University, 2013 BASE Show details 19 Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars Ma, Wei-Yun; McKeown, Kathleen. - 2012 BASE Show details 20 Detecting and Correcting Syntactic Errors in Machine Translation Using Feature-Based Lexicalized Tree Adjoining Grammars Ma, Wei-Yun; McKeown, Kathleen. - 2012 BASE Show details Page: 1 2 3 4 5...8

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