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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 – 14 of 14 1 A Controllable Model of Grounded Response Generation ... Wu, Zeqiu; Galley, Michel; Brockett, Chris. - : arXiv, 2020 BASE Show details 2 Measuring machine translation quality as semantic equivalence: a metric based on entailment features Padó, Sebastian; Cer, Daniel; Jurafsky, Dan... In: Machine translation. - Dordrecht [u.a.] : Springer Science + Business Media 23 (2010) 2-3, 181-193 BLLDB OLC Linguistik Show details 3 Lexicalized Markov Grammars for Sentence Compression McKeown, Kathleen; Galley, Michel. - : Proceedings of NAACL-HLT, 2007 BASE Show details 4 Lexicalized Markov Grammars for Sentence Compression ... McKeown, Kathleen; Galley, Michel. - : Columbia University, 2007 Abstract: We present a sentence compression system based on synchronous context-free grammars (SCFG), following the successful noisy-channel approach of (Knight and Marcu, 2000). We define a headdriven Markovization formulation of SCFG deletion rules, which allows us to lexicalize probabilities of constituent deletions. We also use a robust approach for tree-to-tree alignment between arbitrary document-abstract parallel corpora, which lets us train lexicalized models with much more data than previous approaches relying exclusively on scarcely available document-compression corpora. Finally, we evaluate different Markovized models, and find that our selected best model is one that exploits head-modifier bilexicalization to accurately distinguish adjuncts from complements, and that produces sentences that were judged more grammatical than those generated by previous work. ... Keyword: Computer science; Information technology URL: https://dx.doi.org/10.7916/d8057qdg https://academiccommons.columbia.edu/doi/10.7916/D8057QDG BASE Hide details 5 Scalable Inference and Training of Context-Rich Syntactic Translation Models Graehl, Jonathan; Galley, Michel; DeNeefe, Steve. - : Proceedings of COLING/ACL, 2006 BASE Show details 6 Automatic Summarization of Conversational Multi-Party Speech Galley, Michel. - : AAAI'06 proceedings of the 21st national conference on Artificial intelligence, 2006 BASE Show details 7 Scalable Inference and Training of Context-Rich Syntactic Translation Models ... Galley, Michel; Graehl, Jonathan; Knight, Kevin. - : Columbia University, 2006 BASE Show details 8 Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies Galley, Michel; McKeown, Kathleen; Hirschberg, Julia Bell. - : ACL 2004, 2004 BASE Show details 9 What's in a Translation Rule Galley, Michel; Hopkins, Mark; Knight, Kevin... In: DTIC (2004) BASE Show details 10 Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies ... Galley, Michel; McKeown, Kathleen; Hirschberg, Julia Bell. - : Columbia University, 2004 BASE Show details 11 Discourse segmentation of multi-party conversation McKeown, Kathleen; Galley, Michel; Fosler-Lussier, Eric. - : ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, 2003 BASE Show details 12 Improving word sense disambiguation in lexical chaining McKeown, Kathleen; Galley, Michel. - : Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI'03), 2003 BASE Show details 13 Discourse segmentation of multi-party conversation ... McKeown, Kathleen; Galley, Michel; Fosler-Lussier, Eric. - : Columbia University, 2003 BASE Show details 14 Improving word sense disambiguation in lexical chaining ... McKeown, Kathleen; Galley, Michel. - : Columbia University, 2003 BASE Show details

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