Towards Automatic Building of Document Keywords

José Gabriel Pereira Lopes; Joaquim Francisco Ferreira Silva

Towards Automatic Building of Document Keywords

José Gabriel Pereira Lopes, Joaquim Francisco Ferreira Silva

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

Abstract

Document keywords are associated to documents as summarized versions of the documents' content. Considering that the number of documents is quickly growing every day, the availability of these keywords is very important. Although, usually keywords are manually written. This motivated us to work on an approach to change this manual procedure for an automatic one. This paper presents a language independent approach that extracts the most relevant Multiword Expressions and single words from documents and propose them to describe the core content of each document.

Original language	Unknown
Title of host publication	International Conference on Computational Linguistics
Pages	1149-1157
Publication status	Published - 1 Jan 2010
Event	International Conference on Computational Linguistics (COLING) - Duration: 1 Jan 2010 → …

Conference

Conference	International Conference on Computational Linguistics (COLING)
Period	1/01/10 → …

Cite this

@inproceedings{bbf6fee606a44dcd9823affb122837b1,

title = "Towards Automatic Building of Document Keywords",

abstract = "Document keywords are associated to documents as summarized versions of the documents' content. Considering that the number of documents is quickly growing every day, the availability of these keywords is very important. Although, usually keywords are manually written. This motivated us to work on an approach to change this manual procedure for an automatic one. This paper presents a language independent approach that extracts the most relevant Multiword Expressions and single words from documents and propose them to describe the core content of each document.",

keywords = "Keyword Extraction, Multi-word Units",

author = "Lopes, {Jos{\'e} Gabriel Pereira} and Silva, {Joaquim Francisco Ferreira}",

year = "2010",

month = jan,

day = "1",

language = "Unknown",

pages = "1149--1157",

booktitle = "International Conference on Computational Linguistics",

note = "International Conference on Computational Linguistics (COLING) ; Conference date: 01-01-2010",

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AU - Lopes, José Gabriel Pereira

AU - Silva, Joaquim Francisco Ferreira

PY - 2010/1/1

Y1 - 2010/1/1

N2 - Document keywords are associated to documents as summarized versions of the documents' content. Considering that the number of documents is quickly growing every day, the availability of these keywords is very important. Although, usually keywords are manually written. This motivated us to work on an approach to change this manual procedure for an automatic one. This paper presents a language independent approach that extracts the most relevant Multiword Expressions and single words from documents and propose them to describe the core content of each document.

AB - Document keywords are associated to documents as summarized versions of the documents' content. Considering that the number of documents is quickly growing every day, the availability of these keywords is very important. Although, usually keywords are manually written. This motivated us to work on an approach to change this manual procedure for an automatic one. This paper presents a language independent approach that extracts the most relevant Multiword Expressions and single words from documents and propose them to describe the core content of each document.

KW - Keyword Extraction

KW - Multi-word Units

M3 - Conference contribution

SP - 1149

EP - 1157

BT - International Conference on Computational Linguistics

T2 - International Conference on Computational Linguistics (COLING)

Y2 - 1 January 2010

ER -