Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots

no code implementations • EMNLP 2020 • Yuanmeng Yan, Keqing He, Hong Xu, Sihong Liu, Fanyu Meng, Min Hu, Weiran Xu

Open-vocabulary slots, such as file name, album name, or schedule title, significantly degrade the performance of neural-based slot filling models since these slots can take on values from a virtually unlimited set and have no semantic restriction nor a length limit.

Sentence slot-filling +1

Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance

no code implementations • 24 Oct 2022 • Xiaoxiao Wang, Fanyu Meng, Xin Liu, Zhaodan Kong, Xin Chen

Explainability plays an increasingly important role in machine learning.

Collision Avoidance reinforcement-learning +1

TODSum: Task-Oriented Dialogue Summarization with State Tracking

no code implementations • 25 Oct 2021 • Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng

Previous dialogue summarization datasets mainly focus on open-domain chitchat dialogues, while summarization datasets for the broadly used task-oriented dialogue haven't been explored yet.

A structure-enhanced graph convolutional network for sentiment analysis

no code implementations • Findings of the Association for Computational Linguistics 2020 • Fanyu Meng, Junlan Feng, Danping Yin, Si Chen, Min Hu

Syntactic information is essential for both sentiment analysis(SA) and aspect-based sentiment analysis(ABSA).

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2