1 code implementation • ACL 2022 • Yiwen Zhang, Caixia Yuan, Xiaojie Wang, Ziwei Bai, Yongbin Liu
Generalized zero-shot text classification aims to classify textual instances from both previously seen classes and incrementally emerging unseen classes.
1 code implementation • Findings (EMNLP) 2021 • Chenxu Lv, Hengtong Lu, Shuyu Lei, Huixing Jiang, Wei Wu, Caixia Yuan, Xiaojie Wang
A reliable clustering algorithm for task-oriented dialogues can help developer analysis and define dialogue tasks efficiently.
no code implementations • 20 Oct 2023 • Yangyang Luo, Shiyu Tian, Caixia Yuan, Xiaojie Wang
Conversational Machine Reading (CMR) requires answering a user's initial question through multi-turn dialogue interactions based on a given document.
1 code implementation • 1 Oct 2023 • Lucen Zhong, Hengtong Lu, Caixia Yuan, Xiaojie Wang, Jiashen Sun, Ke Zeng, Guanglu Wan
A global policy consistency task is designed to capture the multi-turn dialog policy sequential relation, and an act-based contrastive learning task is designed to capture similarities among samples with the same dialog policy.
no code implementations • 12 Sep 2023 • Di Lu, Zhongping Liang, Caixia Yuan, Xiaojie Wang
This paper presents a novel approach to address the Entity Recognition and Linking Challenge at NLPCC 2015.
1 code implementation • 4 May 2023 • Sai Zhang, Yuwei Hu, Xiaojie Wang, Caixia Yuan
The errors from DST might misguide the dialog policy, and the system action brings extra difficulties for the DST module.
1 code implementation • 5 Jan 2023 • Yuxing Long, Binyuan Hui, Fulong Ye, Yanyang Li, Zhuoxin Han, Caixia Yuan, Yongbin Li, Xiaojie Wang
Existing multimodal conversation agents have shown impressive abilities to locate absolute positions or retrieve attributes in simple scenarios, but they fail to perform well when complex relative positions and information alignments are involved, which poses a bottleneck in response quality.
1 code implementation • Findings (ACL) 2022 • Sai Zhang, Yuwei Hu, Yuchuan Wu, Jiaman Wu, Yongbin Li, Jian Sun, Caixia Yuan, Xiaojie Wang
We find some new linguistic phenomena and interactive manners in SSTOD which raise critical challenges of building dialog agents for the task.
Ranked #1 on SSTOD on SSD_NAME
1 code implementation • Findings (EMNLP) 2021 • Junpeng Liu, Yanyan Zou, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Caixia Yuan, Xiaojie Wang
To capture the various topic information of a conversation and outline salient facts for the captured topics, this work proposes two topic-aware contrastive learning objectives, namely coherence detection and sub-summary generation objectives, which are expected to implicitly model the topic change and handle information scattering challenges for the dialogue summarization task.
Ranked #3 on Text Summarization on SAMSum
1 code implementation • 4 Feb 2021 • Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang
We propose a novel task, Multi-Document Driven Dialogue (MD3), in which an agent can guess the target document that the user is interested in by leading a dialogue.
1 code implementation • 15 Aug 2020 • Han Liu, Caixia Yuan, Xiaojie Wang
A major challenge of multi-label text classification (MLTC) is to stimulatingly exploit possible label differences and label correlations.
Ranked #1 on Multi-Label Text Classification on AAPD (Micro F1 metric)
no code implementations • CONLL 2019 • Jiayu Chen, Caixia Yuan, Xiaojie Wang, Ziwei Bai
This paper focuses on how to extract multiple relational facts from unstructured text.