In this work, we propose to leverage Entity Resolution (ER) features in NLU reranking and introduce a novel loss term based on ER signals to better learn model ...

In this work, we propose to leverage Entity Resolution (ER) features in NLU reranking and introduce a novel loss term based on ER signals to better learn model ...

This paper discusses development of a multi-domain conversational dialog system for simultaneously managing chats and goal-oriented dialogs. In this paper, we ...

Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems ... Similar lecture. Nutribullets Hybrid: Multi-document Health ...

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Optimizing NLU reranking using entity resolution signals in multi-domain dialog systems. T Wang, J Chen, M Malmir, S Dong, X He, H Wang, C Su, Y Liu, Y Liu.

Bayesian Optimization · reinforcement-learning +2 · Paper · Add Code · Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems.

Optimizing NLU reranking using entity resolution signals in multi-domain dialog systems · Tong Wang, Jiangning Chen, Mohsen Malmir, Shuyan Dong, Xin He, Han ...

Jun 25, 2024 · Optimizing NLU Reranking Using Entity Resolution Signals in Multi-domain Dialog Systems. NAACL-HLT (Industry Papers) 2021: 19-25. [c6]. view.

This work proposes to leverage Entity Resolution (ER) features in NLU reranking and introduce a novel loss term based on ER signals to better learn model ...