TY - GEN
T1 - Exploiting distance based similarity in topic models for user intent detection
AU - Celikyilmaz, Asli
AU - Hakkani-Tur, Dilek
AU - Tur, Gokhan
AU - Fidler, Ashley
AU - Hillard, Dustin
PY - 2011
Y1 - 2011
N2 - One of the main components of spoken language understanding is intent detection, which allows user goals to be identified. A challenging sub-task of intent detection is the identification of intent bearing phrases from a limited amount of training data, while maintaining the ability to generalize well. We present a new probabilistic topic model for jointly identifying semantic intents and common phrases in spoken language utterances. Our model jointly learns a set of intent dependent phrases and captures semantic intent clusters as distributions over these phrases based on a distance dependent sampling method. This sampling method uses proximity of words utterances when assigning words to latent topics. We evaluate our method on labeled utterances and present several examples of discovered semantic units. We demonstrate that our model outperforms standard topic models based on bag-of-words assumption.
AB - One of the main components of spoken language understanding is intent detection, which allows user goals to be identified. A challenging sub-task of intent detection is the identification of intent bearing phrases from a limited amount of training data, while maintaining the ability to generalize well. We present a new probabilistic topic model for jointly identifying semantic intents and common phrases in spoken language utterances. Our model jointly learns a set of intent dependent phrases and captures semantic intent clusters as distributions over these phrases based on a distance dependent sampling method. This sampling method uses proximity of words utterances when assigning words to latent topics. We evaluate our method on labeled utterances and present several examples of discovered semantic units. We demonstrate that our model outperforms standard topic models based on bag-of-words assumption.
UR - http://www.scopus.com/inward/record.url?scp=84858973657&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84858973657&partnerID=8YFLogxK
U2 - 10.1109/ASRU.2011.6163969
DO - 10.1109/ASRU.2011.6163969
M3 - Conference contribution
AN - SCOPUS:84858973657
SN - 9781467303675
T3 - 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings
SP - 425
EP - 430
BT - 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings
T2 - 2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011
Y2 - 11 December 2011 through 15 December 2011
ER -