Few-Shot Cross-Lingual TTS Using Transferable Phoneme Embedding

no code implementations • 27 Jun 2022 • Wei-Ping Huang, Po-Chun Chen, Sung-Feng Huang, Hung-Yi Lee

This paper studies a transferable phoneme embedding framework that aims to deal with the cross-lingual text-to-speech (TTS) problem under the few-shot setting.

Few-Shot Learning Transfer Learning

NTU\_NLP at SemEval-2020 Task 12: Identifying Offensive Tweets Using Hierarchical Multi-Task Learning Approach

no code implementations • SEMEVAL 2020 • Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen

This paper presents our hierarchical multi-task learning (HMTL) and multi-task learning (MTL) approaches for improving the text encoder in Sub-tasks A, B, and C of Multilingual Offensive Language Identification in Social Media (SemEval-2020 Task 12).

Language Identification Multi-Task Learning

Dynamic Time-Aware Attention to Speaker Roles and Contexts for Spoken Language Understanding

1 code implementation • 30 Sep 2017 • Po-Chun Chen, Ta-Chung Chi, Shang-Yu Su, Yun-Nung Chen

However, the previous model only paid attention to the content in history utterances without considering their temporal information and speaker roles.

Dialogue State Tracking Spoken Language Understanding

Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning

1 code implementation • IJCNLP 2017 • Ta-Chung Chi, Po-Chun Chen, Shang-Yu Su, Yun-Nung Chen

Language understanding (LU) and dialogue policy learning are two essential components in conversational systems.

Using Wikipedia and Semantic Resources to Find Answer Types and Appropriate Answer Candidate Sets in Question Answering

no code implementations • WS 2016 • Po-Chun Chen, Meng-Jie Zhuang, Chuan-Jie Lin

This paper proposes a new idea that uses Wikipedia categories as answer types and defines candidate sets inside Wikipedia.

Named Entity Recognition (NER) Question Answering