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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/xmlui/handle/123456789/8223
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dc.contributor.authorSharma, Yashvardhan-
dc.date.accessioned2023-01-02T10:45:18Z-
dc.date.available2023-01-02T10:45:18Z-
dc.date.issued2017-12-
dc.identifier.urihttps://ceur-ws.org/Vol-2036/T3-3.pdf-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8223-
dc.description.abstractLegal texts usually have a complex structure and reading through them is a time-consuming and strenuous task. Hence it is essential to provide the legal practitioners a concise representation of the text. Catchphrases are those phrases which state the important issues present in the text, thus effectively characterizing it. This paper proposes an approach for the subtask 1 of the task IRLed (Information Retrieval from Legal Documents), FIRE 2017. The proposed algorithm uses a three step approach for extracting catchphrases from legal documents.en_US
dc.language.isoenen_US
dc.publisherCEURen_US
dc.subjectComputer Scienceen_US
dc.subjectKeyword Extractionen_US
dc.subjectLegal Documentsen_US
dc.subjectDeep Learningen_US
dc.subjectLSTMen_US
dc.subjectNatural Language Processingen_US
dc.titleCatchphrase Extraction from Legal Documents Using LSTM Networksen_US
dc.typeArticleen_US
Appears in Collections:Department of Computer Science and Information Systems

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