no code implementations • EMNLP 2020 • Sihan Wang, Kaijie Zhou, Kunfeng Lai, Jianping Shen
We introduce a framework of Monte Carlo Tree Search with Double-q Dueling network (MCTS-DDU) for task-completion dialogue policy learning.
Model-based Reinforcement Learning reinforcement-learning +2
no code implementations • 24 Sep 2021 • Guang Liu, Hailong Huang, Yuzhao Mao, Weiguo Gao, Xuan Li, Jianping Shen
Previous studies mostly use a fine-tuned Language Model (LM) to strengthen the constraints but ignore the fact that the potential of diversity could improve the effectiveness of generated data.
no code implementations • SEMEVAL 2021 • Xiaolong Hou, Junsong Ren, Gang Rao, Lianxin Lian, Zhihao Ruan, Yang Mo, Jianping Shen
The objective of subtask 2 of SemEval-2021 Task 6 is to identify techniques used together with the span(s) of text covered by each technique.
no code implementations • SEMEVAL 2021 • Gang Rao, Maochang Li, Xiaolong Hou, Lianxin Jiang, Yang Mo, Jianping Shen
In this paper we propose a contextual attention based model with two-stage fine-tune training using RoBERTa.
no code implementations • 11 Jun 2021 • Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen
Differently, in this paper, we propose RefBERT to leverage the knowledge learned from the teacher, i. e., facilitating the pre-computed BERT representation on the reference sample and compressing BERT into a smaller student model.
no code implementations • 7 Jun 2021 • Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
More specifically, PHED deploys Conditional Variational AutoEncoder (CVAE) on Transformer to include one aspect of attributes at one stage.
no code implementations • SEMEVAL 2021 • Shuyi Xie, Jian Ma, Haiqin Yang, Lianxin Jiang, Yang Mo, Jianping Shen
Second, we construct a new vector on the fine-tuned embeddings from XLM-RoBERTa and feed it to a fully-connected network to output the probability of whether the target word in the context has the same meaning or not.
no code implementations • 15 Apr 2021 • Haiqin Yang, Jianping Shen
Emotion dynamics modeling is a significant task in emotion recognition in conversation.
no code implementations • 16 Mar 2021 • Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen
Entity synonyms discovery is crucial for entity-leveraging applications.
no code implementations • 16 Mar 2021 • Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen
Automatically and accurately identifying user intents and filling the associated slots from their spoken language are critical to the success of dialogue systems.
no code implementations • EMNLP 2020 • Jianqiang Ma, Zeyu Yan, Shuai Pang, Yang Zhang, Jianping Shen
On the WikiSQL benchmark, state-of-the-art text-to-SQL systems typically take a slot-filling approach by building several dedicated models for each type of slots.
no code implementations • SEMEVAL 2020 • Jian Ma, Shuyi Xie, Meizhi Jin, Jiang Lianxin, Mo Yang, Jianping Shen
In this paper, we only report our implement of Subtask 2.
no code implementations • SEMEVAL 2020 • Chenyang Guo, Xiaolong Hou, Junsong Ren, Lianxin Jiang, Yang Mo, Haiqin Yang, Jianping Shen
This paper describes the model we apply in the SemEval-2020 Task 10.
no code implementations • COLING 2020 • Shuai Pang, Jianqiang Ma, Zeyu Yan, Yang Zhang, Jianping Shen
Recently, pre-trained language models such as BERT have shown state-of-the-art accuracies in text matching.
no code implementations • SEMEVAL 2020 • Shuyi Xie, Jian Ma, Haiqin Yang, Jiang Lianxin, Mo Yang, Jianping Shen
The goal of this task is to extract definition, word level BIO tags and relations.
1 code implementation • COLING 2020 • Zeyu Yan, Jianqiang Ma, Yang Zhang, Jianping Shen
Text-to-SQL systems offers natural language interfaces to databases, which can automatically generates SQL queries given natural language questions.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Bingfeng Luo, Zuo Bai, Kunfeng Lai, Jianping Shen
In addition, it reduces human involvement in template design by using a text stitch model to automatically stitch adjacent template units, which is a step that usually requires careful template design and limits template reusability.
no code implementations • 15 Oct 2020 • Yuzhao Mao, Qi Sun, Guang Liu, Xiaojie Wang, Weiguo Gao, Xuan Li, Jianping Shen
Emotion Recognition in Conversations (ERC) is essential for building empathetic human-machine systems.
no code implementations • 3 Mar 2020 • Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end multi-domain dialogue system to accomplish complex users' goals under tourist information desk settings.
no code implementations • 19 Dec 2019 • Yue Ma, Zengfeng Zeng, Dawei Zhu, Xuan Li, Yiying Yang, Xiaoyuan Yao, Kaijie Zhou, Jianping Shen
This paper describes our approach in DSTC 8 Track 4: Schema-Guided Dialogue State Tracking.