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DOI: 10.4230/OASIcs.ICCSW.2018.5
URN: urn:nbn:de:0030-drops-101866
URL: https://drops.dagstuhl.de/opus/volltexte/2019/10186/
Mohasseb, Alaa ; Bader-El-Den, Mohamed ; Cocea, Mihaela
Towards Context-Aware Syntax Parsing and Tagging
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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.
BibTeX - Entry
@InProceedings{mohasseb_et_al:OASIcs:2019:10186,
author = {Alaa Mohasseb and Mohamed Bader-El-Den and Mihaela Cocea},
title = {{Towards Context-Aware Syntax Parsing and Tagging}},
booktitle = {2018 Imperial College Computing Student Workshop (ICCSW 2018)},
pages = {5:1--5:9},
series = {OpenAccess Series in Informatics (OASIcs)},
ISBN = {978-3-95977-097-2},
ISSN = {2190-6807},
year = {2019},
volume = {66},
editor = {Edoardo Pirovano and Eva Graversen},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/10186},
URN = {urn:nbn:de:0030-drops-101866},
doi = {10.4230/OASIcs.ICCSW.2018.5},
annote = {Keywords: Information Retrieval, Natural Language Processing, PoS Tagging, PoS Parsing, Machine Learning}
}
| Keywords: | Information Retrieval, Natural Language Processing, PoS Tagging, PoS Parsing, Machine Learning | |
| Seminar: | 2018 Imperial College Computing Student Workshop (ICCSW 2018) | |
| Issue date: | 2019 | |
| Date of publication: | 25.01.2019 |
