Paper Info
Title
Extracting Sentences Describing Biomolecular Events from the Biomedical Literature.
Abstract
The scientific literature is one of the main sources of information for researchers. However, due to the rapid increase of the number of scientific articles, satisfying a specific information need has become a very demanding task, and researchers often have to scan through a large number of publications in search of a specific nugget of information. In this work we propose the use of supervised machine learning techniques to retrieve and rank sentences describing different types of biomolecular events. The objective is to classify and rank sentences that match any general query according to the likelihood of mentioning events involving one or more biomolecular entities. These ranked results should provide a condensed, or summarized, view of the knowledge present in the literature and related to the user's information need.
Year
DOI
Venue
2014
10.1007/978-3-319-07593-8_48
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 11TH INTERNATIONAL CONFERENCE
Keywords
Field
DocType
Sentence-based Information Retrieval,Biomedical Literature,Biomolecular Events
Data mining,Scientific literature,Information needs,Information retrieval,Ranking,Computer science,Specific-information,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
290
2194-5357
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Tiago Nunes1261.30
Sérgio Matos241529.51
José Luis Oliveira376084.03