Papers › Addressee and Response Selection for Multilingual Conversation

Addressee and Response Selection for Multilingual Conversation

12 Aug 2018COLING 2018 8arXiv:1808.03915archive 2025-07-28

Motoki Sato, Hiroki Ouch, Yuta Tsuboi

Developing conversational systems that can converse in many languages is an interesting challenge for natural language processing. In this paper, we introduce multilingual addressee and response selection. In this task, a conversational system predicts an appropriate addressee and response for an input message in multiple languages. A key to developing such multilingual responding systems is how to utilize high-resource language data to compensate for low-resource language data. We present several knowledge transfer methods for conversational systems. To evaluate our methods, we create a new multilingual conversation dataset. Experiments on the dataset demonstrate the effectiveness of our methods.

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