no code implementations • 14 Nov 2023 • Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie zhou, Xu sun
Therefore, to evaluate the ability of LLMs to discern the reliability of external knowledge, we create a benchmark from existing knowledge bases.
1 code implementation • 7 Oct 2022 • Feifan Song, Lianzhe Huang, Houfeng Wang
Multi-intent Spoken Language Understanding has great potential for widespread implementation.
1 code implementation • ACL 2022 • Zihan Wang, Peiyi Wang, Lianzhe Huang, Xin Sun, Houfeng Wang
Hierarchical text classification is a challenging subtask of multi-label classification due to its complex label hierarchy.
1 code implementation • 23 Feb 2022 • Lianzhe Huang, Shuming Ma, Dongdong Zhang, Furu Wei, Houfeng Wang
To collocate with the unified prompt, we propose a new initialization method for the target label word to further improve the model's transferability across languages.
no code implementations • 17 Feb 2021 • Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from a sentence, including target entities, associated sentiment polarities, and opinion spans which rationalize the polarities.
Ranked #8 on Aspect Sentiment Triplet Extraction on ASTE-Data-V2
no code implementations • COLING 2020 • Lianzhe Huang, Xin Sun, Sujian Li, Linhao Zhang, Houfeng Wang
In this paper, we exploit syntactic awareness to the model by the graph attention network on the dependency tree structure and external pre-training knowledge by BERT language model, which helps to model the interaction between the context and aspect words better.
2 code implementations • IJCNLP 2019 • Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang
Recently, researches have explored the graph neural network (GNN) techniques on text classification, since GNN does well in handling complex structures and preserving global information.
Ranked #2 on Text Classification on Ohsumed