Investigating Semantic Knowledge for Text Learning (2003)  (Make Corrections)  (2 citations)
Anupriya Ankolekar 5000 Forbes Avenue Young-Woo Seo 5000...

 @ NUS   Home/Search   Context   Related

 
View or download:
cmu.edu/~softagent...seo_sigir_03.ps.gz
Cached:  PS.gz  PS  PDF  Image  Update  Help

From:  cmu.edu/~softagent...publications (more)
(Enter author homepages)

Rate this article: (best)
  Comment on this article  
(Enter summary)

Abstract: Recent work has made much of using semantic knowledge, derived in particular from domain ontologies, for improving text learning tasks. Semantic knowledge is assumed to capture more in-depth knowledge of the text domain in comparison with conventional statistics-based methods that can only rely on more surface vocabulary-speci c characteristics of a data set. Therefore, using semantic knowledge instead of statistics-based methods should improve performance in text learning tasks signi cantly. ... (Update)

Cited by:   More
Feature Selection for Extracting - Semantically Rich Words (2004)   (Correct)
Feature Selection for Extracting Semantically Rich Words - Seo, Ankolekar, Sycara (2004)   (Correct)

Active bibliography (related documents):   More   All
0.1:   Semantic Web Mining and the Representation, - Analysis And Evolution   (Correct)
0.1:   Text Categorization Using Compression Models - Frank, Chui, Witten (2000)   (Correct)
0.1:   Hierarchically Classifying Documents Using Very Few Words - Koller, Sahami (1997)   (Correct)

Similar documents based on text:
0.0:   Unknown -   (Correct)

Related documents from co-citation:   More   All
2:   Toward Optimal Feature Selection - Koller, Sahami - 1996
2:   WordNet An Electronic Lexical Database - Fellbaum - 1998
2:   Ontology learning for the semantic web (context) - Maedche, Staab - 2001

BibTeX entry:   (Update)

A. Ankolekar, Y.-W. Seo, and K. Sycara. Investigating semantic knowledge for text learning. In Proceedings of ACM SIGIR Workshop on Semantic Web, 2003. http://citeseer.comp.nus.edu.sg/751323.html   More

@misc{ ankolekar03investigating,
  author = "A. Ankolekar and Y. Seo and K. Sycara",
  title = "Investigating semantic knowledge for text learning",
  text = "A. Ankolekar, Y.-W. Seo, and K. Sycara. Investigating semantic knowledge
    for text learning. In Proceedings of ACM SIGIR Workshop on Semantic Web,
    2003.",
  year = "2003",
  url = "citeseer.comp.nus.edu.sg/751323.html" }
Citations (may not include all citations):
2319   Elements of Information Theory (context) - Cover, Thomas - 1991
1543   Probabilistic Reasoning in Intelligent Systems: Networks of .. (context) - Pearl - 1988
328   Foundations of Statistical Natural Language Processing - Manning, Sch - 1999
215   A comparative study on feature selection in text categorisat.. - Yang, Pederson - 1997
73   Ontology learning for the semantic web (context) - Maedche, Staab - 2001
19   Distributional clustering of words for text classi cation (context) - Baker, McCallum - 1998
16   Employing EM and pool-based active learning for text classi .. - McCallum, Nigam - 1998
15   Towards semantic web mining - Berendt, Hotho et al. - 2002
12   Information retrieval on the semantic web - Shah, Finin et al. - 2002
12   Ontology-based text clustering - Hotho, Staab et al. - 2001
11   Using reinforcement learning to spider the web eciently - Rennie, McCallum - 1999
11   Learning and revising user pro les: The identi cation of int.. (context) - Pazzani, Billsus - 1997
10   Building classi ers using bayesian networks (context) - Friedman, Goldszmidt - 1996
6   Learning limited dependence bayesian classi ers (context) - Sahami - 1996
1   chapter Learning bayesian networks is NP-complete (context) - Chickering, in - 1995
http://www.daviddlewis.com/resources/testcollections/-

Documents on the same site (http://www.cs.cmu.edu/~softagents/publications.html):   More
Benefits of Learning in Negotiation - Zeng (1997)   (Correct)
A Scalable Agent Location Mechanism - Shehory (2000)   (Correct)
Adding Security and Trust to Multi-Agent Systems - Wong, Sycara (1999)   (Correct)

Online articles have much greater impact   More about CiteSeer.IST at NUS   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST at NUS - Copyright Penn State and NEC. Hosted by the School of Computing, National University of Singapore.