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Yun-Nung Vivian Chen
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2020 – today
- 2024
[j7]Koichiro Yoshino
, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky:
Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 32: 765-778 (2024)- [j6]Shang-Yu Su, Yung-Sung Chung, Yun-Nung Chen:
Joint Dual Learning With Mutual Information Maximization for Natural Language Understanding and Generation in Dialogues. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2445-2452 (2024) - [j5]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4066-4076 (2024) - [c105]Wen Chang, Yun-Nung Chen:
Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning. ACL (Findings) 2024: 3798-3812 - [c104]Chang-Sheng Kao, Yun-Nung Chen:
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models. ACL (Findings) 2024: 11777-11788 - [c103]Chao-Wei Huang, Chen-An Li, Tsu-Yuan Hsu, Chen-Yu Hsu, Yun-Nung Chen:
Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling. EACL (Findings) 2024: 736-746 - [c102]Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen:
Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. EMNLP (Industry Track) 2024: 1218-1236 - [c101]Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen:
I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation. EMNLP 2024: 2191-2199 - [c100]Cheng-Hsun Hsueh, Paul Kuo-Ming Huang, Tzu-Han Lin, Che-Wei Liao, Hung-Chieh Fang, Chao-Wei Huang, Yun-Nung Chen:
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models. EMNLP (Findings) 2024: 9417-9429 - [c99]Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen:
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging. EMNLP 2024: 15506-15524 - [c98]Chao-Wei Huang, Yun-Nung Chen:
FactAlign: Long-form Factuality Alignment of Large Language Models. EMNLP (Findings) 2024: 16363-16375 - [c97]Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen:
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. EMNLP (Findings) 2024: 16612-16631 - [c96]Chao-Wei Huang, Yun-Nung Chen:
PairDistill: Pairwise Relevance Distillation for Dense Retrieval. EMNLP 2024: 18225-18237 - [c95]Po-Heng Chen, Yun-Nung Chen:
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models. EMNLP 2024: 18983-18994 - [e4]Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-164-3 [contents] - [e3]Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen:
Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-168-1 [contents] - [i88]Chao-Wei Huang, Chen-An Li, Tsu-Yuan Hsu, Chen-Yu Hsu, Yun-Nung Chen:
Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling. CoRR abs/2403.03516 (2024) - [i87]Chao-Wei Huang, Yun-Nung Chen:
InstUPR : Instruction-based Unsupervised Passage Reranking with Large Language Models. CoRR abs/2403.16435 (2024) - [i86]Po-Heng Chen, Sijia Cheng, Wei-Lin Chen, Yen-Ting Lin, Yun-Nung Chen:
Measuring Taiwanese Mandarin Language Understanding. CoRR abs/2403.20180 (2024) - [i85]Wen-Yu Chang, Yun-Nung Chen:
Injecting Salesperson's Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning. CoRR abs/2404.18564 (2024) - [i84]Ji-Lun Peng, Sijia Cheng, Egil Diau, Yung-Yu Shih, Po-Heng Chen, Yen-Ting Lin, Yun-Nung Chen:
A Survey of Useful LLM Evaluation. CoRR abs/2406.00936 (2024) - [i83]Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, Wei-Lin Chen, Chao-Wei Huang, Yu Meng, Yun-Nung Chen:
Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization. CoRR abs/2406.01171 (2024) - [i82]Tzu-Lin Kuo, Tzu-Wei Chiu, Tzung-Sheng Lin, Sheng-Yang Wu, Chao-Wei Huang, Yun-Nung Chen:
A Survey of Generative Information Retrieval. CoRR abs/2406.01197 (2024) - [i81]Cheng-Hsun Hsueh, Paul Kuo-Ming Huang, Tzu-Han Lin, Che-Wei Liao, Hung-Chieh Fang, Chao-Wei Huang, Yun-Nung Chen:
Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models. CoRR abs/2406.01436 (2024) - [i80]Cheng-Kuang Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Hung-yi Lee:
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents. CoRR abs/2406.08747 (2024) - [i79]Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen:
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging. CoRR abs/2407.01470 (2024) - [i78]Chang-Sheng Kao, Yun-Nung Chen:
Visualizing Dialogues: Enhancing Image Selection through Dialogue Understanding with Large Language Models. CoRR abs/2407.03615 (2024) - [i77]Hsin-Yu Chang, Pei-Yu Chen, Tun-Hsiang Chou, Chang-Sheng Kao, Hsuan-Yun Yu, Yen-Ting Lin, Yun-Nung Chen:
A Survey of Data Synthesis Approaches. CoRR abs/2407.03672 (2024) - [i76]Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen:
I Need Help! Evaluating LLM's Ability to Ask for Users' Support: A Case Study on Text-to-SQL Generation. CoRR abs/2407.14767 (2024) - [i75]Zhi Rui Tam, Cheng-Kuang Wu, Yi-Lin Tsai, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen:
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models. CoRR abs/2408.02442 (2024) - [i74]Chao-Han Huck Yang, Taejin Park, Yuan Gong, Yuanchao Li, Zhehuai Chen, Yen-Ting Lin, Chen Chen, Yuchen Hu, Kunal Dhawan, Piotr Zelasko, Chao Zhang, Yun-Nung Chen, Yu Tsao, Jagadeesh Balam, Boris Ginsburg, Sabato Marco Siniscalchi, Eng Siong Chng, Peter Bell, Catherine Lai, Shinji Watanabe, Andreas Stolcke:
Large Language Model Based Generative Error Correction: A Challenge and Baselines for Speech Recognition, Speaker Tagging, and Emotion Recognition. CoRR abs/2409.09785 (2024) - [i73]Yung-Yu Shih, Ziwei Xu, Hiroya Takamura, Yun-Nung Chen, Chung-Chi Chen:
Rehearsing Answers to Probable Questions with Perspective-Taking. CoRR abs/2409.18678 (2024) - [i72]Chao-Wei Huang, Yun-Nung Chen:
PairDistill: Pairwise Relevance Distillation for Dense Retrieval. CoRR abs/2410.01383 (2024) - [i71]Chao-Wei Huang, Yun-Nung Chen:
FactAlign: Long-form Factuality Alignment of Large Language Models. CoRR abs/2410.01691 (2024) - [i70]Yen-Shan Chen, Jing Jin, Peng-Ting Kuo, Chao-Wei Huang, Yun-Nung Chen:
LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation. CoRR abs/2410.20833 (2024) - 2023
- [c94]Hui-Chi Kuo, Yun-Nung Chen:
Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoning. ACL (Findings) 2023: 249-258 - [c93]Tsu-Yuan Hsu, Chen-An Li, Chao-Wei Huang, Yun-Nung Chen:
Visually-Enhanced Phrase Understanding. ACL (Findings) 2023: 5879-5888 - [c92]Wei-Lin Chen, Cheng-Kuang Wu, Yun-Nung Chen, Hsin-Hsi Chen:
Self-ICL: Zero-Shot In-Context Learning with Self-Generated Demonstrations. EMNLP 2023: 15651-15662 - [c91]Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu, Chen-An Li, Yun-Nung Chen:
CONVERSER: Few-shot Conversational Dense Retrieval with Synthetic Data Generation. SIGDIAL 2023: 381-387 - [e2]Yun-Nung Vivian Chen, Margot Mieskes, Siva Reddy:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, ACL 2023, Toronto, Canada, July 9-14, 2023. Association for Computational Linguistics 2023, ISBN 978-1-959429-67-8 [contents] - [i69]Yen-Ting Lin, Yun-Nung Chen:
LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models. CoRR abs/2305.13711 (2023) - [i68]Ze-Song Xu, Yun-Nung Chen:
Zero-Shot Dialogue Relation Extraction by Relating Explainable Triggers and Relation Names. CoRR abs/2306.06141 (2023) - [i67]Wen-Yu Chang, Yun-Nung Chen:
SalesBot 2.0: A Human-Like Intent-Guided Chit-Chat Dataset. CoRR abs/2308.14266 (2023) - [i66]Chao-Wei Huang, Chen-Yu Hsu, Tsu-Yuan Hsu, Chen-An Li, Yun-Nung Chen:
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data Generation. CoRR abs/2309.06748 (2023) - [i65]Yen-Ting Lin, Yun-Nung Chen:
Taiwan LLM: Bridging the Linguistic Divide with a Culturally Aligned Language Model. CoRR abs/2311.17487 (2023) - 2022
- [c90]Ssu Chiu, Maolin Li, Yen-Ting Lin, Yun-Nung Chen:
SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues. ACL (1) 2022: 6143-6158 - [c89]Hung-Chieh Fang, Kuo-Han Hung, Chao-Wei Huang, Yun-Nung Chen:
Open-Domain Conversational Question Answering with Historical Answers. AACL/IJCNLP (Findings) 2022: 319-326 - [c88]Ya-Hsin Chang, Yun-Nung Chen:
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. INTERSPEECH 2022: 3458-3462 - [c87]Chun-Mao Lai, Ming-Hao Hsu, Chao-Wei Huang, Yun-Nung Chen:
Controllable User Dialogue Act Augmentation for Dialogue State Tracking. SIGDIAL 2022: 53-61 - [c86]Po-Wei Lin, Shang-Yu Su, Yun-Nung Chen:
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues. SIGDIAL 2022: 623-629 - [e1]Bing Liu, Alexandros Papangelis, Stefan Ultes, Abhinav Rastogi, Yun-Nung Chen, Georgios Spithourakis, Elnaz Nouri, Weiyan Shi:
Proceedings of the 4th Workshop on NLP for Conversational AI, ConvAI@ACL 2022, Dublin, Ireland, May 27, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-46-9 [contents] - [i64]Ting-Chun Wang, Shang-Yu Su, Yun-Nung Chen:
BARCOR: Towards A Unified Framework for Conversational Recommendation Systems. CoRR abs/2203.14257 (2022) - [i63]Ssu Chiu, Maolin Li, Yen-Ting Lin, Yun-Nung Chen:
SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues. CoRR abs/2204.10591 (2022) - [i62]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:
Islander: A Real-Time News Monitoring and Analysis System. CoRR abs/2204.11457 (2022) - [i61]Ya-Hsin Chang, Yun-Nung Chen:
Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding. CoRR abs/2205.00693 (2022) - [i60]Yen-Ting Lin, Hui-Chi Kuo, Ze-Song Xu, Ssu Chiu, Chieh-Chi Hung, Yi-Cheng Chen, Chao-Wei Huang, Yun-Nung Chen:
Miutsu: NTU's TaskBot for the Alexa Prize. CoRR abs/2205.07446 (2022) - [i59]Chao-Wei Huang, Shang-Chi Tsai, Yun-Nung Chen:
PLM-ICD: Automatic ICD Coding with Pretrained Language Models. CoRR abs/2207.05289 (2022) - [i58]Chun-Mao Lai, Ming-Hao Hsu, Chao-Wei Huang, Yun-Nung Chen:
Controllable User Dialogue Act Augmentation for Dialogue State Tracking. CoRR abs/2207.12757 (2022) - [i57]Hui-Chi Kuo, Yun-Nung Chen:
Zero-Shot Prompting for Implicit Intent Prediction and Recommendation with Commonsense Reasoning. CoRR abs/2210.05901 (2022) - [i56]Hung-Chieh Fang, Kuo-Han Hung, Chao-Wei Huang, Yun-Nung Chen:
Open-Domain Conversational Question Answering with Historical Answers. CoRR abs/2211.09401 (2022) - 2021
- [c85]Boyo Chen, Buo-Fu Chen, Yun-Nung Chen:
Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data. AAAI 2021: 14721-14728 - [c84]Ting-Rui Chiang, Yun-Nung Chen:
Relating Neural Text Degeneration to Exposure Bias. BlackboxNLP@EMNLP 2021: 228-239 - [c83]Po-Nien Kung, Sheng-Siang Yin, Yi-Cheng Chen, Tse-Hsuan Yang, Yun-Nung Chen:
Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity. EMNLP (1) 2021: 416-428 - [c82]Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen:
Modeling Diagnostic Label Correlation for Automatic ICD Coding. NAACL-HLT 2021: 4043-4052 - [i55]Yen-Ting Lin, Yun-Nung Chen:
An Empirical Study of Cross-Lingual Transferability in Generative Dialogue State Tracker. CoRR abs/2101.11360 (2021) - [i54]Ting-Rui Chiang, Yun-Nung Chen:
Why Can You Lay Off Heads? Investigating How BERT Heads Transfer. CoRR abs/2106.07137 (2021) - [i53]Yung-Sung Chuang, Mingye Gao, Hongyin Luo, James R. Glass, Hung-Yi Lee, Yun-Nung Chen, Shang-Wen Li:
Mitigating Biases in Toxic Language Detection through Invariant Rationalization. CoRR abs/2106.07240 (2021) - [i52]Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen:
Modeling Diagnostic Label Correlation for Automatic ICD Coding. CoRR abs/2106.12800 (2021) - [i51]Po-Wei Lin, Shang-Yu Su, Yun-Nung Chen:
TREND: Trigger-Enhanced Relation-Extraction Network for Dialogues. CoRR abs/2108.13811 (2021) - [i50]Ting-Rui Chiang, Yun-Nung Chen:
Relating Neural Text Degeneration to Exposure Bias. CoRR abs/2109.08705 (2021) - [i49]Po-Nien Kung, Chung-Cheng Chang, Tse-Hsuan Yang, Hsin-Kai Hsu, Yu-Jia Liou, Yun-Nung Chen:
Multi-Task Learning for Situated Multi-Domain End-to-End Dialogue Systems. CoRR abs/2110.05221 (2021) - [i48]Jia-Yan Wu, Alexander Te-Wei Shieh, Shih-Ju Hsu, Yun-Nung Chen:
Towards Generating Citation Sentences for Multiple References with Intent Control. CoRR abs/2112.01332 (2021) - 2020
- [j4]Hao-Tong Ye, Kai-Lin Lo, Shang-Yu Su, Yun-Nung Chen:
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model. Comput. Speech Lang. 63: 101069 (2020) - [j3]Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen:
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer. Comput. Speech Lang. 63: 101073 (2020) - [j2]Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen:
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection. Comput. Speech Lang. 63: 101079 (2020) - [c81]Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen:
An Empirical Study of Content Understanding in Conversational Question Answering. AAAI 2020: 7578-7585 - [c80]Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen:
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning. ACL 2020: 671-680 - [c79]Chao-Wei Huang, Yun-Nung Chen:
Learning Spoken Language Representations with Neural Lattice Language Modeling. ACL 2020: 3764-3769 - [c78]Po-Nien Kung, Tse-Hsuan Yang, Yi-Cheng Chen, Sheng-Siang Yin, Yun-Nung Chen:
Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering. EMNLP (Findings) 2020: 2187-2197 - [c77]Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen:
Lifelong Language Knowledge Distillation. EMNLP (1) 2020: 2914-2924 - [c76]Shang-Yu Su, Yung-Sung Chuang, Yun-Nung Chen:
Dual Inference for Improving Language Understanding and Generation. EMNLP (Findings) 2020: 4930-4936 - [c75]Yu-An Wang, Yun-Nung Chen:
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding. EMNLP (1) 2020: 6840-6849 - [c74]Chao-Wei Huang, Yun-Nung Chen:
Learning Asr-Robust Contextualized Embeddings for Spoken Language Understanding. ICASSP 2020: 8009-8013 - [c73]Chun-Hsing Lin, Siang-Ruei Wu, Hung-yi Lee, Yun-Nung Chen:
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation. NeurIPS 2020 - [c72]Yun-Nung Chen:
Robust and Scalable Conversational AI. WWW (Companion Volume) 2020: 431-432 - [i47]Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen:
Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification. CoRR abs/2004.13255 (2020) - [i46]Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen:
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning. CoRR abs/2004.14710 (2020) - [i45]Chao-Wei Huang, Yun-Nung Chen:
Learning Spoken Language Representations with Neural Lattice Language Modeling. CoRR abs/2007.02629 (2020) - [i44]Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen:
Lifelong Language Knowledge Distillation. CoRR abs/2010.02123 (2020) - [i43]Shang-Yu Su, Yung-Sung Chuang, Yun-Nung Chen:
Dual Inference for Improving Language Understanding and Generation. CoRR abs/2010.04246 (2020) - [i42]Yu-An Wang, Yun-Nung Chen:
What Do Position Embeddings Learn? An Empirical Study of Pre-Trained Language Model Positional Encoding. CoRR abs/2010.04903 (2020) - [i41]Boyo Chen, Buo-Fu Chen, Yun-Nung Chen:
Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data. CoRR abs/2010.14977 (2020) - [i40]Chao-Wei Huang, Yun-Nung Chen:
Adapting Pretrained Transformer to Lattices for Spoken Language Understanding. CoRR abs/2011.00780 (2020) - [i39]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. CoRR abs/2011.06486 (2020) - [i38]Chun-Hsing Lin, Siang-Ruei Wu, Hung-yi Lee, Yun-Nung Chen:
TaylorGAN: Neighbor-Augmented Policy Update for Sample-Efficient Natural Language Generation. CoRR abs/2011.13527 (2020)
2010 – 2019
- 2019
- [c71]Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen:
Dual Supervised Learning for Natural Language Understanding and Generation. ACL (1) 2019: 5472-5477 - [c70]Shang-Chi Tsai, Ting-Yun Chang, Yun-Nung Chen:
Leveraging Hierarchical Category Knowledge for Data-Imbalanced Multi-Label Diagnostic Text Understanding. LOUHI@EMNLP 2019: 39-43 - [c69]Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen:
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation. LOUHI@EMNLP 2019: 108-117 - [c68]Yi-Ting Yeh, Yun-Nung Chen:
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension. MRQA@EMNLP 2019: 86-90 - [c67]Chao-Wei Huang, Yun-Nung Chen:
Adapting Pretrained Transformer to Lattices for Spoken Language Understanding. ASRU 2019: 845-852 - [c66]Yu-An Wang, Yun-Nung Chen:
Dialogue Environments are Different from Games: Investigating Variants of Deep Q-Networks for Dialogue Policy. ASRU 2019: 1070-1076 - [c65]Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen:
Tree Transformer: Integrating Tree Structures into Self-Attention. EMNLP/IJCNLP (1) 2019: 1061-1070 - [c64]Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee:
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs. EMNLP/IJCNLP (1) 2019: 1855-1865 - [c63]Yi-Ting Yeh, Yun-Nung Chen:
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization. EMNLP/IJCNLP (1) 2019: 3368-3373 - [c62]Ting-Yun Chang, Yun-Nung Chen:
What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition. EMNLP/IJCNLP (1) 2019: 6063-6069 - [c61]Yu-An Wang, Yu-Kai Huang, Tzu-Chuan Lin, Shang-Yu Su, Yun-Nung Chen:
Modeling Melodic Feature Dependency with Modularized Variational Auto-encoder. ICASSP 2019: 191-195 - [c60]Shang-Yu Su, Shan-Wei Lin, Yun-Nung Chen:
Compound Variational Auto-encoder. ICASSP 2019: 3577-3581 - [c59]Shang-Yu Su, Pei-Chieh Yuan, Yun-Nung Chen:
Dynamically Context-sensitive Time-decay Attention for Dialogue Modeling. ICASSP 2019: 7200-7204 - [c58]Chia-Hsuan Lee, Yun-Nung Chen, Hung-yi Lee:
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation. ICASSP 2019: 7300-7304 - [c57]Ting-Rui Chiang, Yun-Nung Chen:
Semantically-Aligned Equation Generation for Solving and Reasoning Math Word Problems. NAACL-HLT (1) 2019: 2656-2668 - [i37]Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su, Yun-Nung Chen:
RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection. CoRR abs/1903.08905 (2019) - [i36]Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su, Yun-Nung Chen:
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer. CoRR abs/1903.08953 (2019) - [i35]Hao-Tong Ye, Kai-Ling Lo, Shang-Yu Su, Yun-Nung Chen:
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model. CoRR abs/1903.09813 (2019) - [i34]Chia-Hsuan Lee, Yun-Nung Chen, Hung-yi Lee:
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain Adaptation. CoRR abs/1904.07904 (2019) - [i33]Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen:
Dual Supervised Learning for Natural Language Understanding and Generation. CoRR abs/1905.06196 (2019) - [i32]