Towards context-aware syntax parsing and tagging

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Information retrieval (IR) has become one of the most popular Natural Language Processing (NLP) applications. Part of speech (PoS) parsing and tagging plays an important role in IR systems. A broad range of PoS parsers and taggers tools have been proposed with the aim of helping to find a solution for the information retrieval problems, but most of these are tools based on generic NLP tags which do not capture domain-related information. In this research, we present a domain-specific parsing and tagging approach that uses not only generic PoS tags but also domain-specific PoS tags, grammatical rules, and domain knowledge. Experimental results show that our approach has a good level of accuracy when applying it to different domains.
Original languageEnglish
Title of host publication2018 Imperial College Computing Student Workshop (ICCSW 2018)
EditorsEdoardo Pirovano, Eva Graversen
Place of PublicationDagstuhl, Germany
PublisherSchloss Dagstuhl - Leibniz-Zentrum fuer Informatik
ISBN (Print)978-3-95977-097-2
Publication statusPublished - 24 Jan 2019
Event2018 Imperial College Computing Student Workshop - London, United Kingdom
Duration: 20 Sept 201821 Sept 2018

Publication series

NameOpenAccess Series in Informatics (OASIcs)
PublisherSchloss Dagstuhl--Leibniz-Zentrum fuer Informatik
ISSN (Print)2190-6807


Workshop2018 Imperial College Computing Student Workshop
Country/TerritoryUnited Kingdom
Internet address


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