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Linguistic resources for paraphrase generation in Portuguese: a Lexicon-Grammar approach
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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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Automatic Construction of Fine-Grained Paraphrase Corpora System Using Language Inference Model
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In: Applied Sciences; Volume 12; Issue 1; Pages: 499 (2022)
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Using Alignments in Automatic Paraphrase Production to Combat Data Sparsity in Question Interpretation for a Virtual Patient Dialogue System
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Question Paraphrase Generation for Question Answering System
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Abstract:
The queries to a practical Question Answering (QA) system range from keywords, phrases, badly written questions, and occasionally grammatically perfect questions. Among different kinds of question analysis approaches, the pattern matching works well in analyzing such queries. It is costly to build this pattern matching module because tremendous manual labor is needed to expand its coverage to so many variations in natural language questions. This thesis proposes that the costly manual labor should be saved by the technique of paraphrase generation which can automatically generate semantically similar paraphrases of a natural language question. Previous approaches of paraphrase generation either require large scale of corpus and the dependency parser, or only deal with the relation-entity type of simple question queries. By introducing a method of inferring transformation operations between paraphrases, and a description of sentence structure, this thesis develops a paraphrase generation method and its implementation in Chinese with very limited amount of corpus. The evaluation results of this implementation show its ability to aid humans to efficiently create a pattern matching module for QA systems as it greatly outperforms the human editors in the coverage of natural language questions, with an acceptable precision in generated paraphrases.
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Keyword:
Computer Science; Paraphrase Generation; Question Analysis; Question Answering; Sentence Structure; Sentence Transformation
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URL: http://hdl.handle.net/10012/9629
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A Computational Approach to the Analysis and Generation of Emotion in Text
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A Computational Approach to the Analysis and Generation of Emotion in Text
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A Computational Approach to the Analysis and Generation of Emotion in Text ...
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| 8 |
A Computational Approach to the Analysis and Generation of Emotion in Text
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| 10 |
The Circle of Meaning: From Translation to Paraphrasing and Back
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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
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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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| 18 |
THE TEACHER MODE OF THE SENTENCE FAIRY SYSTEM: HOW TO CREATE YOUR OWN E-LEARNING WRITING LESSONS FOR GERMAN ELEMENTARY SCHOOL PUPILS
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In: http://userpages.uni-koblenz.de/~harbusch/ICERI-2012.pdf
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| 19 |
Experience
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In: http://www.desilinguist.org/pdf/madnani-cv.pdf
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| 20 |
Exploring neural paraphrasing to improve fluency of rule-based generation
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