565 citations · 1.3k across the 96 of their papers we have counts for
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Attention-Informed Mixed-Language Training for Zero-shot Cross-lingual Task-oriented Dialogue Systems
Zihan Liu, Genta Indra Winata, Zhaojiang Lin +2
Recently, data-driven task-oriented dialogue systems have achieved promising performance in English. However, developing dialogue systems that support low-resource languages remain…
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.…
Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer
Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin +2
Highly performing deep neural networks come at the cost of computational complexity that limits their practicality for deployment on portable devices. We propose the low-rank trans…
Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences
Genta Indra Winata, Andrea Madotto, Chien-Sheng Wu +1
Training code-switched language models is difficult due to lack of data and complexity in the grammatical structure. Linguistic constraint theories have been used for decades to ge…
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…
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…
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
Zihan Liu, Yan Xu, Genta Indra Winata +1
This paper describes CAiRE's submission to the unsupervised machine translation track of the WMT'19 news shared task from German to Czech. We leverage a phrase-based statistical ma…
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…
CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification
Genta Indra Winata, Andrea Madotto, Zhaojiang Lin +4
Detecting emotion from dialogue is a challenge that has not yet been extensively surveyed. One could consider the emotion of each dialogue turn to be independent, but in this paper…