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1
Linguistic resources for paraphrase generation in Portuguese: a Lexicon-Grammar approach
In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-03548861 ; Language Resources and Evaluation, Springer Verlag, 2022, ⟨10.1007/s10579-021-09561-5⟩ ; https://link.springer.com/article/10.1007/s10579-021-09561-5 (2022)
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2
Automatic Construction of Fine-Grained Paraphrase Corpora System Using Language Inference Model
In: Applied Sciences; Volume 12; Issue 1; Pages: 499 (2022)
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3
Using Alignments in Automatic Paraphrase Production to Combat Data Sparsity in Question Interpretation for a Virtual Patient Dialogue System
Ewing, Sarah. - : The Ohio State University, 2019
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4
Question Paraphrase Generation for Question Answering System
Qin, Haocheng. - : University of Waterloo, 2015
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5
A Computational Approach to the Analysis and Generation of Emotion in Text
Keshtkar, Fazel. - 2011
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6
A Computational Approach to the Analysis and Generation of Emotion in Text
Keshtkar, Fazel. - 2011
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7
A Computational Approach to the Analysis and Generation of Emotion in Text ...
Keshtkar, Fazel. - : Université d'Ottawa / University of Ottawa, 2011
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8
A Computational Approach to the Analysis and Generation of Emotion in Text
Keshtkar, Fazel. - : Université d'Ottawa / University of Ottawa, 2011
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9
Contextualizing semantic representations using syntactically enriched vector models
In: Association for Computational Linguistics. Proceedings of the conference. - Stroudsburg, Penn. : ACL 48 (2010) 2, 948-957
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10
The Circle of Meaning: From Translation to Paraphrasing and Back
Madnani, Nitin. - 2010
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11
Fine-Grained Linguistic Soft Constraints on Statistical Natural Language Processing Models
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12
A Symbolic Approach to Near-Deterministic Surface Realisation using Tree Adjoining Grammar
In: 45th Annual Meeting of the Association for Computational Linguistics - ACL 2007 ; https://hal.inria.fr/inria-00149366 ; 45th Annual Meeting of the Association for Computational Linguistics - ACL 2007, Jun 2007, Prague, Czech Republic. pp.328-335 (2007)
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13
Algoritm tekstovych preobrazovanij v sisteme smyslovoj kompressii
In: Minskij Gosudarstvennyj Lingvističeskij Universitet. Vestnik MGLU. Serija 1, Filologija = Series 1, Philology. - Minsk : MGLU (2004) 13, 142-152
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14
Automatische Generierung natürlichsprachlicher Paraphrasen formaler Bedeutungsbeschreibungen
In: Semantik, Lexikographie und Computeranwendungen. - Tübingen : Niemeyer (1996), 307-315
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15
Generating sentences from different perspectives
In: Association for Computational Linguistics / European Chapter. Conference of the European Chapter of the Association for Computational Linguistics. - Menlo Park, Calif. : ACL 5 (1991), 125-130
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16
Parrot: The Janus Paraphraser
In: DTIC AND NTIS (1989)
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17
Zur automatischen Paraphrasierung natuerlich-sprachlicher Saetze
In: Akten des 12. Linguistischen Kolloquiums ; 1. Wortstellung und Bedeutung. - Tübingen : Niemeyer (1978), 239-248
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18
THE TEACHER MODE OF THE SENTENCE FAIRY SYSTEM: HOW TO CREATE YOUR OWN E-LEARNING WRITING LESSONS FOR GERMAN ELEMENTARY SCHOOL PUPILS
In: http://userpages.uni-koblenz.de/~harbusch/ICERI-2012.pdf
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19
Experience
In: http://www.desilinguist.org/pdf/madnani-cv.pdf
Abstract: ◦ Designed, developed and implemented a novel, feature-driven computational model for automatically paraphrasing any given sentence in any language to another semantically equivalent sentence. The model is particularly appropriate for use in other language processing applications (see Machine Translation below). ◦ Conducting human studies using Amazon Mechanical Turk in order to understand how humans perceive semantic equivalence at the sentence level and to explore how this perception compares with the computational model. Machine Translation ◦ Participated in the development of a rule-based framework (DUSTer) to unravel cross-linguistic divergences—naturally occurring instances wherein the same underlying concept is distributed over different words between two natural languages—that can confound the process of automatic translation. ◦ Ported DUSTer to an entirely new language pair (Hindi-English) as part of the DARPA Translingual Information Detection, Extraction and Summarization (TIDES) program. ◦ Ported a popular machine learning algorithm used to automatically learn the system parameters
Keyword: Artificial Intelligence and Computer Science Education. Research; Automatic Paraphrase Generation; Computational Linguistics; Machine Learning; Natural Language Processing; Statistical Machine Translation
URL: http://www.desilinguist.org/pdf/madnani-cv.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.186.6622
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20
Exploring neural paraphrasing to improve fluency of rule-based generation
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