most citedAttention over Parameters for Dialogue Systems

25 citations · 25 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL202025 cited

Attention over Parameters for Dialogue Systems

Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu +2

Dialogue systems require a great deal of different but complementary expertise to assist, inform, and entertain humans. For example, different domains (e.g., restaurant reservation…

cs.CL2019

Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables

Zihan Liu, Jamin Shin, Yan Xu +4

Despite the surging demands for multilingual task-oriented dialog systems (e.g., Alexa, Google Home), there has been less research done in multilingual or cross-lingual scenarios.…

cs.CL2019

Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition

Genta Indra Winata, Zhaojiang Lin, Jamin Shin +2

In countries that speak multiple main languages, mixing up different languages within a conversation is commonly called code-switching. Previous works addressing this challenge mai…

cs.CL2019

On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression

Genta Indra Winata, Andrea Madotto, Jamin Shin +2

Despite their ubiquity in NLP tasks, Long Short-Term Memory (LSTM) networks suffer from computational inefficiencies caused by inherent unparallelizable recurrences, which further…

cs.CL2019

MoEL: Mixture of Empathetic Listeners

Zhaojiang Lin, Andrea Madotto, Jamin Shin +2

Previous research on empathetic dialogue systems has mostly focused on generating responses given certain emotions. However, being empathetic not only requires the ability of gener…

cs.CL2019

CAiRE: An Empathetic Neural Chatbot

Zhaojiang Lin, Peng Xu, Genta Indra Winata +4

In this paper, we present an end-to-end empathetic conversation agent CAiRE. Our system adapts TransferTransfo (Wolf et al., 2019) learning approach that fine-tunes a large-scale p…