1 code implementation • 2 Apr 2024 • Cheng Gong, Haoshuai Zheng, Mengting Hu, Zheng Lin, Deng-Ping Fan, Yuzhi Zhang, Tao Li
Quantization is a promising method that reduces memory usage and computational intensity of Deep Neural Networks (DNNs), but it often leads to significant output error that hinder model deployment.
1 code implementation • 23 Feb 2024 • Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang
Theory of Mind (ToM) is the cognitive capability to perceive and ascribe mental states to oneself and others.
1 code implementation • 17 Feb 2024 • Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang
In this study, we introduce a pluggable CTG framework for Large Language Models (LLMs) named Dynamic Attribute Graphs-based controlled text generation (DATG).
no code implementations • 16 Feb 2024 • Zhen Zhang, Yuhua Zhao, Hang Gao, Mengting Hu
Named Entity Recognition (NER) serves as a fundamental task in natural language understanding, bearing direct implications for web content analysis, search engines, and information retrieval systems.
1 code implementation • 19 Dec 2023 • Zhuowei Zhang, Mengting Hu, Yinhao Bai, Zhen Zhang
Then we employ a coreference graph encoder to mine the potential governing relations between sentences.
no code implementations • 5 Jun 2023 • Mengting Hu, Zhen Zhang, Shiwan Zhao, Minlie Huang, Bingzhe Wu
Therefore, in this survey, we provide a comprehensive review of uncertainty-relevant works in the NLP field.
1 code implementation • 1 Jun 2023 • Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang
We further propose marginalized unlikelihood learning to suppress the uncertainty-aware mistake tokens.
1 code implementation • 29 May 2023 • Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu
Most named entity recognition (NER) systems focus on improving model performance, ignoring the need to quantify model uncertainty, which is critical to the reliability of NER systems in open environments.
1 code implementation • 19 Oct 2022 • Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao
By fine-tuning the pre-trained language model with these template orders, our approach improves the performance of quad prediction, and outperforms state-of-the-art methods significantly in low-resource settings.
Ranked #3 on Aspect-Based Sentiment Analysis (ABSA) on ACOS
1 code implementation • COLING 2022 • Mengting Hu, Hang Gao, Yinhao Bai, Mingming Liu
Nowadays, transformer-based models gradually become the default choice for artificial intelligence pioneers.
no code implementations • EMNLP 2021 • Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su
A mind-map is a diagram that represents the central concept and key ideas in a hierarchical way.
no code implementations • ACL 2021 • Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su
Aspect category detection (ACD) in sentiment analysis aims to identify the aspect categories mentioned in a sentence.
no code implementations • 1 Feb 2021 • Hang Gao, Mengting Hu, Renhong Cheng, Tiegang Gao
Answer selection is a task to choose the positive answers from a pool of candidate answers for a given question.
no code implementations • CONLL 2019 • Mengting Hu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su
The attention is expected to concentrate on opinion words for accurate sentiment prediction.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • IJCNLP 2019 • Mengting Hu, Yike Wu, Shiwan Zhao, Honglei Guo, Renhong Cheng, Zhong Su
Cross-domain sentiment classification has drawn much attention in recent years.
no code implementations • IJCNLP 2019 • Mengting Hu, Shiwan Zhao, Li Zhang, Keke Cai, Zhong Su, Renhong Cheng, Xiaowei Shen
Aspect level sentiment classification is a fine-grained sentiment analysis task.