Abstract
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 language | English |
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| Title of host publication | 2018 Imperial College Computing Student Workshop (ICCSW 2018) |
| Editors | Edoardo Pirovano, Eva Graversen |
| Place of Publication | Dagstuhl, Germany |
| Publisher | Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik |
| Pages | 5:1-5:9 |
| Volume | 66 |
| ISBN (Print) | 978-3-95977-097-2 |
| DOIs | |
| Publication status | Published - 24 Jan 2019 |
| Event | 2018 Imperial College Computing Student Workshop - London, United Kingdom Duration: 20 Sept 2018 → 21 Sept 2018 http://iccsw.doc.ic.ac.uk/2018/ |
Publication series
| Name | OpenAccess Series in Informatics (OASIcs) |
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| Publisher | Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik |
| ISSN (Print) | 2190-6807 |
Workshop
| Workshop | 2018 Imperial College Computing Student Workshop |
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| Country/Territory | United Kingdom |
| City | London |
| Period | 20/09/18 → 21/09/18 |
| Internet address |