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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 Hits 21 – 40 of 54 21 Simplification Using Paraphrases and Context-Based Lexical Substitution Kriz, Reno; Miltsakaki, Eleni; Apidianaki, Marianna... In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838519 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, Jun 2018, Nouvelle Orléans, United States (2018) BASE Show details 22 Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation Apidianaki, Marianna; Wisniewski, Guillaume; Cocos, Anne... In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838521 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018) BASE Show details 23 Comparing Constraints for Taxonomic Organization Cocos, Anne; Apidianaki, Marianna; Callison-Burch, Chris In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ; https://hal.archives-ouvertes.fr/hal-01838520 ; Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics Jun 2018, Nouvelle Orléans, United States (2018) BASE Show details 24 Mapping the Paraphrase Database to WordNet Cocos, Anne; Apidianaki, Marianna; Callison-Burch, Chris In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838527 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017) BASE Show details 25 Learning Antonyms with Paraphrases and a Morphology-aware Neural Network Rajana, Sneha; Callison-Burch, Chris; Apidianaki, Marianna... In: Conference on Lexical and Computational Semantics ; https://hal.archives-ouvertes.fr/hal-01838526 ; Conference on Lexical and Computational Semantics, Aug 2017, Vancouver, Canada (2017) BASE Show details 26 Word Sense Filtering Improves Embedding-Based Lexical Substitution Apidianaki, Marianna; Cocos, Anne; Callison-Burch, Chris In: Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838524 ; Conference of the European Chapter of the Association for Computational Linguistics , Apr 2017, Valencia, Spain (2017) BASE Show details 27 Learning Translations via Matrix Completion Wijaya, Derry; Callahan, Brendan; Hewitt, John... In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838532 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark (2017) BASE Show details 28 KnowYourNyms? A Game of Semantic Relationships Mechanic, Ross; Fulgoni, Dean; Cutler, Hannah... In: Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-01838528 ; Conference on Empirical Methods in Natural Language Processing, Sep 2017, Copenhagen, Denmark (2017) BASE Show details 29 Use of Modality and Negation in Semantically-Informed Syntactic MT ... Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J.. - : arXiv, 2015 BASE Show details 30 Fisher and CALLHOME Spanish--English Speech Translation Post, Matt; Kumar, Gaurav; Lopez, Adam. - : Linguistic Data Consortium, 2014. : https://www.ldc.upenn.edu, 2014 BASE Show details 31 FEATURE-DRIVEN QUESTION ANSWERING WITH NATURAL LANGUAGE ALIGNMENT Yao, Xuchen. - 2014 BASE Show details 32 Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings Irvine, Ann. - 2014 BASE Show details 33 Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation ... Bloodgood, Michael; Callison-Burch, Chris. - : arXiv, 2014 BASE Show details 34 Fisher and CALLHOME Spanish--English Speech Translation ... Post, Matt; Kumar, Gaurav; Lopez, Adam. - : Linguistic Data Consortium, 2014 BASE Show details 35 Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach ... Baker, Kathryn; Bloodgood, Michael; Callison-Burch, Chris. - : arXiv, 2014 BASE Show details 36 Dirt cheap web-scale parallel text from the Common Crawl ... Smith, Jason R; Saint-Amand, Herve; Plamada, Magdalena. - : Association for Computational Linguistics, 2013 BASE Show details 37 Dirt cheap web-scale parallel text from the Common Crawl Smith, Jason R; Saint-Amand, Herve; Plamada, Magdalena... In: Smith, Jason R; Saint-Amand, Herve; Plamada, Magdalena; Koehn, Philipp; Callison-Burch, Chris; Lopez, Adam (2013). Dirt cheap web-scale parallel text from the Common Crawl. In: 51st Annual Meeting of the Association for Computational Linguistics, Sofia, Bulgaria, August 2013. Association for Computational Linguistics, 1374-1383. (2013) BASE Show details 38 Use of Modality and Negation in Semantically-Informed Syntactic MT Baker, Kathryn; Bloodgood, Michael; Dorr, Bonnie J... In: DTIC (2012) BASE Show details 39 Use of Modality and Negation in Semantically-Informed Syntactic MT Bloodgood, Michael; Filardo, Nathaniel; Levin, Lori; Dorr, Bonnie; Baker, Kathryn; Piatko, Christine; Miller, Scott; Callison-Burch, Chris. - : MIT Press, 2012 Abstract: This article describes the resource- and system-building efforts of an 8-week Johns Hopkins University Human Language Technology Center of Excellence Summer Camp for Applied Language Exploration (SCALE-2009) on Semantically Informed Machine Translation (SIMT). We describe a new modality/negation (MN) annotation scheme, the creation of a (publicly available) MN lexicon, and two automated MN taggers that we built using the annotation scheme and lexicon. Our annotation scheme isolates three components of modality and negation: a trigger (a word that conveys modality or negation), a target (an action associated with modality or negation), and a holder (an experiencer of modality). We describe how our MN lexicon was semi-automatically produced and we demonstrate that a structure-based MN tagger results in precision around 86% (depending on genre) for tagging of a standard LDC data set. We apply our MN annotation scheme to statistical machine translation using a syntactic framework that supports the inclusion of semantic annotations. Syntactic tags enriched with semantic annotations are assigned to parse trees in the target-language training texts through a process of tree grafting. Although the focus of our work is modality and negation, the tree grafting procedure is general and supports other types of semantic information. We exploit this capability by including named entities, produced by a pre-existing tagger, in addition to the MN elements produced by the taggers described here. The resulting system significantly outperformed a linguistically naive baseline model (Hiero), and reached the highest scores yet reported on the NIST 2009 Urdu–English test set. This finding supports the hypothesis that both syntactic and semantic information can improve translation quality. ; This work was supported, in part, by the Johns Hopkins Human Language Technology Center of Excellence (HLTCOE), by the National Science Foundation under grant IIS-0713448, and by BBN Technologies under GALE DARPA/IPTO contract no. HR0011-06-C-0022. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsor. Keyword: artificial intelligence; computational linguistics; computer science; human language technology; machine translation; modality; natural language processing; negation; semantically-informed machine translation; statistical machine translation; statistical methods; translation technology URL: http://hdl.handle.net/1903/15547 BASE Hide details 40 Incremental Syntactic Language Models for Phrase-Based Translation Schwartz, Lane; Callison-Burch, Chris; Schuler, William... In: DTIC (2011) BASE Show details Page: 1 2 3

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