Abstract
Original language | English |
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Title of host publication | Natural language processing and information systems |
Subtitle of host publication | 15th international conference on applications of natural language to information systems, NLDB 2010, Cardiff, UK, June 23-25, 2010. Proceedings |
Editors | Christina J. Hopfe, Yacine Rezgui, Elisabeth Métais, Alun Preece, Haijiang Li |
Place of Publication | Berlin (DE) |
Publisher | Springer |
Pages | 157-168 |
Number of pages | 12 |
Volume | 6177 |
ISBN (Print) | 3-642-13880-2, 978-3-642-13880-5 |
DOIs | |
Publication status | Published - 2010 |
Event | 15th international conference on applications of natural language to information systems, NLDB 2010 - Cardiff, United Kingdom Duration: 23 Jun 2010 → 25 Jun 2010 |
Publication series
Name | Lecture notes in computer science |
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Publisher | Springer |
Volume | 6177 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 15th international conference on applications of natural language to information systems, NLDB 2010 |
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Country | United Kingdom |
City | Cardiff |
Period | 23/06/10 → 25/06/10 |
Fingerprint
Keywords
- goal detection
- tree-augmented Naive Bayes networks
- natural language query
Cite this
}
Goal detection from natural language queries. / He, Yulan.
Natural language processing and information systems: 15th international conference on applications of natural language to information systems, NLDB 2010, Cardiff, UK, June 23-25, 2010. Proceedings. ed. / Christina J. Hopfe; Yacine Rezgui; Elisabeth Métais; Alun Preece; Haijiang Li. Vol. 6177 Berlin (DE) : Springer, 2010. p. 157-168 (Lecture notes in computer science; Vol. 6177).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Goal detection from natural language queries
AU - He, Yulan
PY - 2010
Y1 - 2010
N2 - This paper aims to identify the communication goal(s) of a user's information-seeking query out of a finite set of within-domain goals in natural language queries. It proposes using Tree-Augmented Naive Bayes networks (TANs) for goal detection. The problem is formulated as N binary decisions, and each is performed by a TAN. Comparative study has been carried out to compare the performance with Naive Bayes, fully-connected TANs, and multi-layer neural networks. Experimental results show that TANs consistently give better results when tested on the ATIS and DARPA Communicator corpora.
AB - This paper aims to identify the communication goal(s) of a user's information-seeking query out of a finite set of within-domain goals in natural language queries. It proposes using Tree-Augmented Naive Bayes networks (TANs) for goal detection. The problem is formulated as N binary decisions, and each is performed by a TAN. Comparative study has been carried out to compare the performance with Naive Bayes, fully-connected TANs, and multi-layer neural networks. Experimental results show that TANs consistently give better results when tested on the ATIS and DARPA Communicator corpora.
KW - goal detection
KW - tree-augmented Naive Bayes networks
KW - natural language query
UR - http://www.scopus.com/inward/record.url?scp=77955442161&partnerID=8YFLogxK
UR - http://www.springerlink.com/content/262m1j6m1489210q/
U2 - 10.1007/978-3-642-13881-2_16
DO - 10.1007/978-3-642-13881-2_16
M3 - Conference contribution
AN - SCOPUS:77955442161
SN - 3-642-13880-2
SN - 978-3-642-13880-5
VL - 6177
T3 - Lecture notes in computer science
SP - 157
EP - 168
BT - Natural language processing and information systems
A2 - Hopfe, Christina J.
A2 - Rezgui, Yacine
A2 - Métais, Elisabeth
A2 - Preece, Alun
A2 - Li, Haijiang
PB - Springer
CY - Berlin (DE)
ER -