Search Results for author: Chao-Wei Huang

Found 18 papers, 13 papers with code

InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models

1 code implementation25 Mar 2024 Chao-Wei Huang, Yun-Nung Chen

This paper introduces InstUPR, an unsupervised passage reranking method based on large language models (LLMs).

Instruction Following Retrieval

Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling

1 code implementation6 Mar 2024 Chao-Wei Huang, Chen-An Li, Tsu-Yuan Hsu, Chen-Yu Hsu, Yun-Nung Chen

Dense retrieval methods have demonstrated promising performance in multilingual information retrieval, where queries and documents can be in different languages.

Information Retrieval Retrieval

Open-Domain Conversational Question Answering with Historical Answers

1 code implementation17 Nov 2022 Hung-Chieh Fang, Kuo-Han Hung, Chao-Wei Huang, Yun-Nung Chen

Open-domain conversational question answering can be viewed as two tasks: passage retrieval and conversational question answering, where the former relies on selecting candidate passages from a large corpus and the latter requires better understanding of a question with contexts to predict the answers.

Conversational Question Answering Passage Retrieval +1

PLM-ICD: Automatic ICD Coding with Pretrained Language Models

2 code implementations NAACL (ClinicalNLP) 2022 Chao-Wei Huang, Shang-Chi Tsai, Yun-Nung Chen

Prior work has shown that pretrained language models underperformed on this task with the regular finetuning scheme.

Natural Language Understanding

Miutsu: NTU's TaskBot for the Alexa Prize

no code implementations16 May 2022 Yen-Ting Lin, Hui-Chi Kuo, Ze-Song Xu, Ssu Chiu, Chieh-Chi Hung, Yi-Cheng Chen, Chao-Wei Huang, Yun-Nung Chen

This paper introduces Miutsu, National Taiwan University's Alexa Prize TaskBot, which is designed to assist users in completing tasks requiring multiple steps and decisions in two different domains -- home improvement and cooking.

Question Answering Retrieval

Islander: A Real-Time News Monitoring and Analysis System

no code implementations25 Apr 2022 Chao-Wei Huang, Kai-Chou Yang, Zi-Yuan Chen, Hao-Chien Cheng, Po-Yu Wu, Yu-Yang Huang, Chung-Kai Hsieh, Geng-Zhi Wildsky Fann, Ting-Yin Cheng, Ethan Tu, Yun-Nung Chen

With thousands of news articles from hundreds of sources distributed and shared every day, news consumption and information acquisition have been increasingly difficult for readers.

Modeling Diagnostic Label Correlation for Automatic ICD Coding

1 code implementation NAACL 2021 Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen

To address this problem, we propose a two-stage framework to improve automatic ICD coding by capturing the label correlation.

Medical Code Prediction

Adapting Pretrained Transformer to Lattices for Spoken Language Understanding

1 code implementation2 Nov 2020 Chao-Wei Huang, Yun-Nung Chen

It is shown that encoding lattices as opposed to 1-best results generated by automatic speech recognizer (ASR) boosts the performance of spoken language understanding (SLU).

Natural Language Understanding speech-recognition +2

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning

1 code implementation ACL 2020 Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen

The prior work is the first attempt that utilized the duality between NLU and NLG to improve the performance via a dual supervised learning framework.

Natural Language Understanding Text Generation

Learning ASR-Robust Contextualized Embeddings for Spoken Language Understanding

1 code implementation24 Sep 2019 Chao-Wei Huang, Yun-Nung Chen

Employing pre-trained language models (LM) to extract contextualized word representations has achieved state-of-the-art performance on various NLP tasks.

Spoken Language Understanding

Dual Supervised Learning for Natural Language Understanding and Generation

2 code implementations ACL 2019 Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen

Natural language understanding (NLU) and natural language generation (NLG) are both critical research topics in the NLP field.

Natural Language Understanding Text Generation

Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer

no code implementations21 Mar 2019 Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen

With the increasing research interest in dialogue response generation, there is an emerging branch formulating this task as selecting next sentences, where given the partial dialogue contexts, the goal is to determine the most probable next sentence.

Response Generation Sentence

RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection

no code implementations21 Mar 2019 Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen

The response selection has been an emerging research topic due to the growing interest in dialogue modeling, where the goal of the task is to select an appropriate response for continuing dialogues.

Cannot find the paper you are looking for? You can Submit a new open access paper.