24 citations · 66 across the 16 of their papers we have counts for
6 papers · 1 filter
Coupled Representation Learning for Domains, Intents and Slots in Spoken Language Understanding
JIhwan Lee, Dongchan Kim, Ruhi Sarikaya +1
Representation learning is an essential problem in a wide range of applications and it is important for performing downstream tasks successfully. In this paper, we propose a new mo…
Differentiable Greedy Networks
Thomas Powers, Rasool Fakoor, Siamak Shakeri +4
Optimal selection of a subset of items from a given set is a hard problem that requires combinatorial optimization. In this paper, we propose a subset selection algorithm that is t…
Direct optimization of F-measure for retrieval-based personal question answering
Rasool Fakoor, Amanjit Kainth, Siamak Shakeri +3
Recent advances in spoken language technologies and the introduction of many customer facing products, have given rise to a wide customer reliance on smart personal assistants for…
Contextual Slot Carryover for Disparate Schemas
Chetan Naik, Arpit Gupta, Hancheng Ge +2
In the slot-filling paradigm, where a user can refer back to slots in the context during a conversation, the goal of the contextual understanding system is to resolve the referring…
Efficient Large-Scale Domain Classification with Personalized Attention
Young-Bum Kim, Dongchan Kim, Anjishnu Kumar +1
In this paper, we explore the task of mapping spoken language utterances to one of thousands of natural language understanding domains in intelligent personal digital assistants (I…
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
Young-Bum Kim, Dongchan Kim, Joo-Kyung Kim +1
Intelligent personal digital assistants (IPDAs), a popular real-life application with spoken language understanding capabilities, can cover potentially thousands of overlapping dom…