no code implementations • ACL (dialdoc) 2021 • Jiapeng Li, Mingda Li, Longxuan Ma, Wei-Nan Zhang, Ting Liu
The task requires identifying the grounding knowledge in form of a document span for the next dialogue turn.
no code implementations • 15 Aug 2023 • Ziyu Zhuang, Qiguang Chen, Longxuan Ma, Mingda Li, Yi Han, Yushan Qian, Haopeng Bai, Zixian Feng, Weinan Zhang, Ting Liu
From pre-trained language model (PLM) to large language model (LLM), the field of natural language processing (NLP) has witnessed steep performance gains and wide practical uses.
1 code implementation • 9 Jun 2023 • Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu
Meanwhile, the MSD data can also be used on dialogue tasks to test the ability of dialogue systems when using similes.
1 code implementation • COLING 2022 • Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu
This paper introduces a novel Self-supervised Fine-grained Dialogue Evaluation framework (SelF-Eval).
no code implementations • Findings of the Association for Computational Linguistics 2020 • Longxuan Ma, Wei-Nan Zhang, Runxin Sun, Ting Liu
Unstructured documents serving as external knowledge of the dialogues help to generate more informative responses.
no code implementations • 17 Apr 2020 • Longxuan Ma, Wei-Nan Zhang, Mingda Li, Ting Liu
We believe that extracting unstructured document(s) information is the future trend of the DS because a great amount of human knowledge lies in these document(s).
no code implementations • 13 Dec 2018 • Longxuan Ma, Pengfei Wang, Lei Zhang
Extracting appropriate features to represent a corpus is an important task for textual mining.