Cited By
View all- Alonso OKamps JKarlgren J(2015)Report on the Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14)ACM SIGIR Forum10.1145/2795403.279541249:1(27-34)Online publication date: 23-Jun-2015
Documents Search Using Semantics Criteria
Pages 5 - 7
Abstract
Current Information Retrieval systems generally search documents using a keywords model, which is often not expressive enough for the user. In this paper we describe some directions for improving an Information Retrieval system by letting the user specify different semantics constraints in her query, using a language based on a simplified version of first-order logic. The user can write queries that express the association between objects and attributes, temporal constraints and negation of attributes, and also perform synonyms expansion of queries. In order to evaluate the relevance of a candidate document with respect to the query, the dependency parse tree of the document is used, as well as other linguistic resources. The system was evaluated using a set of queries and a corpus extracted from the British newspaper The Times. The results are compared against the newspaper's own search engine and they look promising, showing an important improvement in precision in the first documents returned by the query.
References
[1]
T. Strzalkowski, G. Stein, G. Bowden Wise, P. Tapanainen, T. Jarvinen, A. Voutilainen, J. Karlgren, "Language Information Retrieval: TREC-7 Report", 1998.
[2]
C. Liu, H. Wang, S. McClean, E. Kapetianos, D. Carroll, "Weighting Common Syntactic Structures for Natural Language Based Information Retrieval", Proceedings of the 19th ACM International Conference on Information and Knowledge Management, 2010.
[3]
J. Liu, P. Pasupat, Y. Wang, S. Cyphers, J. Glass, "Query Undersanting Enhanced by Hierarchical Parsing Structures", 2013 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013.
[4]
J. H. Park, W. B. Croft, "Query Term Ranking based on Dependency Parsing of Verbose Queries", Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval Pages 829--830, 2010.
[5]
K. T. Maxwell, J. Oberlander, W. B. Croft, "Feature-Based Selection of Dependency Paths in Ad Hoc Information Retrieval", Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013, pp 507--516.
[6]
C. D. Manning, P. Raghavan, H. Schütze, "Introduction to Information Retrieval", Cambridge University Press, 2008, s. 1.1, p. 4.
[7]
"CQL, Contextual Query Language", Library of Congress, http://www.loc.gov/standards/sru/cql/, last accessed 29 March 2014.
[8]
TIMEX3 Specification, "TimeML 1.2.1 A Formal Specification Language for Events and Temporal Expressions", http://www.timeml.org/site/publications/timeMLdocs/timeml_1.2.1.html#timex3, last accessed 23 April 2014.
[9]
G. A. Miller, "WordNet: A Lexical Database for English", Communications of the ACM Vol. 38, 1995, No. 11: 39--41.
[10]
C. Fellbaum, "WordNet: An Electronic Lexical Database", Cambridge, MA: MIT Press, 1998.
[11]
"Apache Lucene -- Apache Solr", The Apache Software Foundation, http://lucene.apache.org/solr/, last accessed 20 April 2014.
[12]
C. D. Manning, P. Raghavan, H. Schütze, "Introduction to Information Retrieval", Cambridge University Press, 2008, s. 1.2, pp. 6--9.
[13]
M. C. de Marneffe, B. MacCartney, C. D. Manning, 2006, "Generating Typed Dependency Parses from Phrase Structure Parses", LREC 2006.
[14]
A. X. Chang, C. D. Manning, 2012, "SUTIME: A Library for Recognizing and Normalizing Time Expressions", 8th International Conference on Language Resources and Evaluation, LREC 2012.
[15]
"The Times", Times Newspaper Limited 2014, http://www.thetimes.co.uk, last accessed 20 April 2014.
Index Terms
- Documents Search Using Semantics Criteria
Recommendations
A novel unsupervised corpus-based stemming technique using lexicon and corpus statistics
AbstractWord Stemming is a widely used mechanism in the fields of Natural Language Processing, Information Retrieval, and Language Modeling. Language-independent stemmers discover classes of morphologically related words from the ambient ...
Query using inferential processing implemented with inverted hashed files
ACM '77: Proceedings of the 1977 annual conferenceA methodology is presented for a prototype query processor that can infer the semantics of a query and thus allow a very natural-language-like request from a user. The inference is accomplished by fully inverting all attribute values, attribute names, ...
Description and Retrieval Across Multiple Media Formats
DEXA '00: Proceedings of the 11th International Workshop on Database and Expert Systems ApplicationsIn a variety of contexts, as in multimedia distance learning systems, multimedia analysis systems or for general information purposes, the task of retrieving appropriate information from a large number of multimedia documents has gained increasing ...
Comments
Information & Contributors
Information
Published In
November 2014
52 pages
Copyright © 2014 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 07 November 2014
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
CIKM '14: 2014 ACM Conference on Information and Knowledge Management
November 7, 2014
Shanghai, China
Acceptance Rates
ESAIR '14 Paper Acceptance Rate 11 of 15 submissions, 73%;
Overall Acceptance Rate 35 of 55 submissions, 64%
Upcoming Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 84Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 09 Nov 2024
Other Metrics
Citations
Cited By
View all- Alonso OKamps JKarlgren J(2015)Report on the Seventh Workshop on Exploiting Semantic Annotations in Information Retrieval (ESAIR'14)ACM SIGIR Forum10.1145/2795403.279541249:1(27-34)Online publication date: 23-Jun-2015
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in