Syntactic sentence compression in the biomedical domain: facilitating access to related articles

Authors:
Jimmy Lin;W. John Wilbur
Affiliations:
College of Information Studies, University of Maryland, College Park, USA;National Center for Biotechnology Information, National Library of Medicine, Bethesda, USA
Venue:
Information Retrieval
Year:
2007

Citing 26
Cited 3

Constructing literature abstracts by computer: techniques and prospects

Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
The effectiveness of document neighboring in search enhancement

Information Processing and Management: an International Journal
A trainable document summarizer

SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic condensation of electronic publications by sentence selection

Information Processing and Management: an International Journal - Special issue: summarizing text
Automatic text structuring and summarization

Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
Statistics-Based Summarization - Step One: Sentence Compression

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Leveraging a common representation for personalized search and summarization in a medical digital library

Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
SUMMAC: a text summarization evaluation

Natural Language Engineering
Sentence reduction for automatic text summarization

ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Improving summaries by revising them

ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
A comparison of parsing technologies for the biomedical domain

Natural Language Engineering
BLEU: a method for automatic evaluation of machine translation

ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic evaluation of summaries using N-gram co-occurrence statistics

NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Accurate unlexicalized parsing

ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Headline generation based on statistical translation

ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Hedge Trimmer: a parse-and-trim approach to headline generation

HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
Find-similar: similarity browsing as a search tool

SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
The importance of the lexicon in tagging biological text

Natural Language Engineering
Supervised and unsupervised learning for sentence compression

ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Multi-candidate reduction: Sentence compression as a tool for document summarization tasks

Information Processing and Management: an International Journal
Multiple alternative sentence compressions as a tool for automatic summarization tasks

Multiple alternative sentence compressions as a tool for automatic summarization tasks
Evaluating and integrating treebank parsers on a biomedical corpus

Software '05 Proceedings of the Workshop on Software
Customization in a unified framework for summarizing medical literature

Artificial Intelligence in Medicine
Summarization from medical documents: a survey

Artificial Intelligence in Medicine
Parsing biomedical literature

IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Comparing topiary-style approaches to headline generation

ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research

Leveraging structural relations for fluent compressions at multiple compression rates

ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Automatically extracting information needs from complex clinical questions

Journal of Biomedical Informatics
A semantic graph-based approach to biomedical summarisation

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

Abstract

We explore a syntactic approach to sentence compression in the biomedical domain, grounded in the context of result presentation for related article search in the PubMed search engine. By automatically trimming inessential fragments of article titles, a system can effectively display more results in the same amount of space. Our implemented prototype operates by applying a sequence of syntactic trimming rules over the parse trees of article titles. Two separate studies were conducted using a corpus of manually compressed examples from MEDLINE: an automatic evaluation using Bleu and a summative evaluation involving human assessors. Experiments show that a syntactic approach to sentence compression is effective in the biomedical domain and that the presentation of compressed article titles supports accurate "interest judgments", decisions by users as to whether an article is worth examining in more detail.