DocumentCode :
179028
Title :
Extending domain coverage of language understanding systems via intent transfer between domains using knowledge graphs and search query click logs
Author :
El-Kahky, Ali ; Xiaohu Liu ; Sarikaya, R. ; Tur, Gokhan ; Hakkani-Tur, Dilek ; Heck, Larry
Author_Institution :
Columbia Univ., New York, NY, USA
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
4067
Lastpage :
4071
Abstract :
This paper proposes a new technique to enable Natural Language Understanding (NLU) systems to handle user queries beyond their original semantic schemas defined by intents and slots. Knowledge graph and search query logs are used to extend NLU system´s coverage by transferring intents from other domains to a given domain. The transferred intents as well as existing intents are then applied to a set of new slots that they are not trained with. The knowledge graph and search click logs are used to determine whether the new slots (i.e. entities) or their attributes in the graph can be used together with transfered intents without re-training the underlying NLU models with the expanded (i.e. with new intents and slots) schema. Experimental results show that the proposed technique can in fact be used in extending NLU system´s domain coverage in fulfilling the user´s request.
Keywords :
natural language processing; query processing; NLU system; domain coverage; intent transfer; knowledge graphs; natural language understanding systems; search click logs; search query click logs; search query logs; semantic schemas; transferred intents; transferring intents; underlying NLU models; Cities and towns; Games; Meteorology; Natural languages; Semantics; Speech; Training data; Natural language understanding; domain expansion; intent trasnfer; knowledge graphs; semantic schemas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854366
Filename :
6854366
Link To Document :
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