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Add Semantic Role to Dependency Structure Language Model for Topic Detection and Tracking
Haier International Training Center, Qingdao, China July 30-August 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.160Eighth ACIS International Conference ...
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Jing Qiu, LeJian Liao, "Add Semantic Role to Dependency Structure Language Model for Topic Detection and Tracking," Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on, vol. 3, pp. 517-521, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SNPD.2007.160,
author = {Jing Qiu and LeJian Liao},
title = {Add Semantic Role to Dependency Structure Language Model for Topic Detection and Tracking},
journal ={Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on},
volume = {3},
year = {2007},
isbn = {0-7695-2909-7},
pages = {517-521},
doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.160},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
TI - Add Semantic Role to Dependency Structure Language Model for Topic Detection and Tracking
SN - 0-7695-2909-7
SP517
EP521
A1 - Jing Qiu,
A1 - LeJian Liao,
PY - 2007
KW - null
VL - 3
JA - Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, ACIS International Conference on
ER -
 
Jing Qiu, Beijing Institute of Technology, China
LeJian Liao, Beijing Institute of Technology, China
In this paper, an idea of adding semantic role to the dependency structure language model is proposed. Firstly, the dependency structure language model for topic detection and tracking is presented. Then we introduce the method to determine the semantic role for the constituents of a sentence. Finally, we add the semantic role to the dependency structure language model. Compare the verbs of the sentences in the stories with a list of verbs related with the verb of the topic. Then, annotate the verbs with semantic roles. This can enable us establish a relation between topics and semantic roles. So, only stories whose sentences containing the right semantic roles are selected. We propose using this semantic information as an extension of the dependency structure language model in order to reduce the number of stories retrieved by the system, and get a high precision in topic detection and tracking.
Citation:
Jing Qiu, LeJian Liao, "Add Semantic Role to Dependency Structure Language Model for Topic Detection and Tracking," snpd, vol. 3, pp.517-521, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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