TY - GEN
T1 - Using lexical, syntactic and semantic features for non-terminal grammar rule induction in spoken dialogue systems
AU - Athanasopoulou, Georgia
AU - Klasinas, Ioannis
AU - Georgiladakis, Spiros
AU - Iosif, Elias
AU - Potamianos, Alexandros
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/4/1
Y1 - 2014/4/1
N2 - In this work, we propose an algorithm for the automatic induction of non-terminal grammar rules for Spoken Dialogue Systems (SDS). Initially, a grammar developer provides the system with a minimal set of rules that serve as seeding examples. Using these seed rules and (optionally) a seed corpus, in-domain data are harvested and filtered from the web. A challenging task is identifying relevant chunks (phrases) in the web-harvested corpus that are good candidates for enhancing the seed grammar. We propose and evaluate rule-based and statistical classification algorithms for this purpose that use lexical, syntactic and semantic features. Induced grammars are evaluated in terms of accuracy of the proposed rules for two spoken dialogue domains. Results show up to four times absolute precision improvement compared to the naive grammar induction approach using semantic phrase similarity.
AB - In this work, we propose an algorithm for the automatic induction of non-terminal grammar rules for Spoken Dialogue Systems (SDS). Initially, a grammar developer provides the system with a minimal set of rules that serve as seeding examples. Using these seed rules and (optionally) a seed corpus, in-domain data are harvested and filtered from the web. A challenging task is identifying relevant chunks (phrases) in the web-harvested corpus that are good candidates for enhancing the seed grammar. We propose and evaluate rule-based and statistical classification algorithms for this purpose that use lexical, syntactic and semantic features. Induced grammars are evaluated in terms of accuracy of the proposed rules for two spoken dialogue domains. Results show up to four times absolute precision improvement compared to the naive grammar induction approach using semantic phrase similarity.
KW - Grammar enhancement
KW - Grammar induction
KW - Spoken dialogue systems
KW - Spoken language understanding
UR - http://www.scopus.com/inward/record.url?scp=84946688240&partnerID=8YFLogxK
U2 - 10.1109/SLT.2014.7078641
DO - 10.1109/SLT.2014.7078641
M3 - Conference contribution
AN - SCOPUS:84946688240
T3 - 2014 IEEE Workshop on Spoken Language Technology, SLT 2014 - Proceedings
SP - 596
EP - 601
BT - 2014 IEEE Workshop on Spoken Language Technology, SLT 2014 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Workshop on Spoken Language Technology, SLT 2014
Y2 - 7 December 2014 through 10 December 2014
ER -