Paper Info
Title
A Sequence Model Approach to Relation Extraction in Portuguese.
Abstract
The task of Relation Extraction from texts is one of the main challenges in the area of Information Extraction, considering the required linguistic knowledge and the sophistication of the language processing techniques employed. This task aims at identifying and classifying semantic relations that occur between entities recognized in a given text. In this paper, we evaluated a Conditional Random Fields classifier for the extraction of any relation descriptor occurring between named entities (Organisation, Person and Place categories), as well as pre-defined relation types between these entities in Portuguese texts.
Year
Venue
Keywords
2016
LREC 2016 - TENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
Information Extraction,Relation Extraction,Conditional Random Fields
Field
DocType
Citations 
Computer science,Portuguese,Speech recognition,Natural language processing,Artificial intelligence,Relationship extraction
Conference
0
PageRank 
References 
Authors
0.34
10
3
Name
Order
Citations
PageRank
Sandra Collovini1145.45
Gabriel Machado200.34
Renata Vieira39227.89