no code implementations • 6 Jun 2023 • Li Zheng, Donghong Ji, Fei Li, Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Chong Teng
The existing emotion-cause pair extraction (ECPE) task, unfortunately, ignores extracting the emotion type and cause type, while these fine-grained meta-information can be practically useful in real-world applications, i. e., chat robots and empathic dialog generation.
no code implementations • 6 Jun 2023 • Jiang Liu, Hao Fei, Fei Li, Jingye Li, Bobo Li, Liang Zhao, Chong Teng, Donghong Ji
Few-shot named entity recognition (NER) exploits limited annotated instances to identify named mentions.
1 code implementation • 13 Apr 2023 • Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua
Universally modeling all typical information extraction tasks (UIE) with one generative language model (GLM) has revealed great potential by the latest study, where various IE predictions are unified into a linearized hierarchical expression under a GLM.
1 code implementation • 10 Nov 2022 • Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji
The rapid development of aspect-based sentiment analysis (ABSA) within recent decades shows great potential for real-world society.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
1 code implementation • 1 Nov 2022 • Jiang Liu, Donghong Ji, Jingye Li, Dongdong Xie, Chong Teng, Liang Zhao, Fei Li
Concretely, we construct tag representations and embed them into TREM, so that TREM can treat tag and word representations as queries/keys/values and utilize self-attention to model their relationships.
1 code implementation • 29 Oct 2022 • Fengqi Wang, Fei Li, Hao Fei, Jingye Li, Shengqiong Wu, Fangfang Su, Wenxuan Shi, Donghong Ji, Bo Cai
First, we focus on input construction for our RE model and propose an entity-based document-context filter to retain useful information in the given documents by using the bridge entities in the text paths.
1 code implementation • COLING 2022 • Shunjie Chen, Xiaochuan Shi, Jingye Li, Shengqiong Wu, Hao Fei, Fei Li, Donghong Ji
We first propose a feature-task alignment to explicitly model the specific emotion-&cause-specific features and the shared interactive feature.
1 code implementation • COLING 2022 • Hu Cao, Jingye Li, Fangfang Su, Fei Li, Hao Fei, Shengqiong Wu, Bobo Li, Liang Zhao, Donghong Ji
Event extraction (EE) is an essential task of information extraction, which aims to extract structured event information from unstructured text.
1 code implementation • Conference 2022 • Hao Fei, Fei Li, Chenliang Li, Shengqiong Wu, Jingye Li, Donghong Ji
So far, aspect-based sentiment analysis (ABSA) has involved with total seven subtasks, in which, however the interactions among them have been left unexplored sufficiently.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +4
1 code implementation • Conference 2022 • Hao Fei, Jingye Li, Shengqiong Wu, Chenliang Li, Donghong Ji, Fei Li
In our global reasoning framework, D2G and ARG work collaboratively, iteratively performing lexical, syntactic and semantic information exchange and representation learning over the entire dialogue context.
Ranked #3 on Dialog Relation Extraction on DialogRE
1 code implementation • ACL 2022 • Wenxuan Shi, Fei Li, Jingye Li, Hao Fei, Donghong Ji
The essential label set consists of the basic labels for this task, which are relatively balanced and applied in the prediction layer.
1 code implementation • 19 Dec 2021 • Jingye Li, Hao Fei, Jiang Liu, Shengqiong Wu, Meishan Zhang, Chong Teng, Donghong Ji, Fei Li
So far, named entity recognition (NER) has been involved with three major types, including flat, overlapped (aka.
Ranked #2 on Chinese Named Entity Recognition on OntoNotes 4
1 code implementation • 6 May 2021 • Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji, Jingye Li
In this paper, we propose to enhance the pair-wise aspect and opinion terms extraction (PAOTE) task by incorporating rich syntactic knowledge.
no code implementations • COLING 2020 • Jingye Li, Hao Fei, Donghong Ji
In this paper, we target improving the joint dialogue act recognition (DAR) and sentiment classification (SC) tasks by fully modeling the local contexts of utterances.
no code implementations • COLING 2020 • Jingye Li, Donghong Ji, Fei Li, Meishan Zhang, Yijiang Liu
Emotion detection in conversations (EDC) is to detect the emotion for each utterance in conversations that have multiple speakers.
Ranked #19 on Emotion Recognition in Conversation on EmoryNLP
no code implementations • 3 Mar 2020 • Jingye Li, Meishan Zhang, Donghong Ji, Yijiang Liu
Conversational emotion recognition (CER) has attracted increasing interests in the natural language processing (NLP) community.
Ranked #22 on Emotion Recognition in Conversation on EmoryNLP