Towards context-aware syntax parsing and tagging

Alaa Mohasseb; Mohamed Bader-El-Den; Mihaela Cocea

doi:10.4230/OASIcs.ICCSW.2018.5

Towards context-aware syntax parsing and tagging

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

510 Downloads (Pure)

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
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	https://doi.org/10.4230/OASIcs.ICCSW.2018.5
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)
Publisher	Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
ISSN (Print)	2190-6807

Workshop

Workshop	2018 Imperial College Computing Student Workshop
Country/Territory	United Kingdom
City	London
Period	20/09/18 → 21/09/18
Internet address	http://iccsw.doc.ic.ac.uk/2018/

Access to Document

10.4230/OASIcs.ICCSW.2018.5

Towards Context-Aware Syntax Parsing and TaggingFinal published version, 371 KBLicence: CC BY

http://drops.dagstuhl.de/opus/volltexte/2019/10186

Cite this

@inproceedings{80f846f095a644238defb5b2db51aa45,

title = "Towards context-aware syntax parsing and tagging",

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.",

author = "Alaa Mohasseb and Mohamed Bader-El-Den and Mihaela Cocea",

year = "2019",

month = jan,

day = "24",

doi = "10.4230/OASIcs.ICCSW.2018.5",

language = "English",

isbn = "978-3-95977-097-2",

volume = "66",

series = "OpenAccess Series in Informatics (OASIcs)",

publisher = "Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik",

pages = "5:1--5:9",

editor = "Edoardo Pirovano and Eva Graversen",

booktitle = "2018 Imperial College Computing Student Workshop (ICCSW 2018)",

note = "2018 Imperial College Computing Student Workshop ; Conference date: 20-09-2018 Through 21-09-2018",

url = "http://iccsw.doc.ic.ac.uk/2018/",

}

Mohasseb, A , Bader-El-Den, M & Cocea, M 2019, Towards context-aware syntax parsing and tagging. in E Pirovano & E Graversen (eds), 2018 Imperial College Computing Student Workshop (ICCSW 2018). vol. 66, OpenAccess Series in Informatics (OASIcs), Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, pp. 5:1-5:9, 2018 Imperial College Computing Student Workshop, London, United Kingdom, 20/09/18. https://doi.org/10.4230/OASIcs.ICCSW.2018.5

Towards context-aware syntax parsing and tagging. / Mohasseb, Alaa ; Bader-El-Den, Mohamed ; Cocea, Mihaela.
2018 Imperial College Computing Student Workshop (ICCSW 2018). ed. / Edoardo Pirovano; Eva Graversen. Vol. 66 Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. p. 5:1-5:9 (OpenAccess Series in Informatics (OASIcs)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Towards context-aware syntax parsing and tagging

AU - Mohasseb, Alaa

AU - Bader-El-Den, Mohamed

AU - Cocea, Mihaela

PY - 2019/1/24

Y1 - 2019/1/24

N2 - 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.

AB - 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.

U2 - 10.4230/OASIcs.ICCSW.2018.5

DO - 10.4230/OASIcs.ICCSW.2018.5

M3 - Conference contribution

SN - 978-3-95977-097-2

VL - 66

T3 - OpenAccess Series in Informatics (OASIcs)

SP - 5:1-5:9

BT - 2018 Imperial College Computing Student Workshop (ICCSW 2018)

A2 - Pirovano, Edoardo

A2 - Graversen, Eva

PB - Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik

CY - Dagstuhl, Germany

T2 - 2018 Imperial College Computing Student Workshop

Y2 - 20 September 2018 through 21 September 2018

ER -

Towards context-aware syntax parsing and tagging

Abstract

Publication series

Workshop

Access to Document

Fingerprint

Cite this