1 code implementation • EMNLP 2021 • Xianming Li, Xiaotian Luo, Chenghao Dong, Daichuan Yang, Beidi Luan, Zhen He
To address such a problem, this paper proposes a novel efficient entities and relations extraction model called TDEER, which stands for Translating Decoding Schema for Joint Extraction of Entities and Relations.
Ranked #1 on Joint Entity and Relation Extraction on NYT
no code implementations • 22 Feb 2024 • Xianming Li, Zongxi Li, Jing Li, Haoran Xie, Qing Li
The experimental results demonstrate the effectiveness of our proposed model in dynamically supporting different embedding sizes and Transformer layers, allowing it to be highly adaptable to various scenarios.
no code implementations • 11 Jan 2024 • Xianming Li, Jing Li
By doing so, it can improve social media language understanding performance and save training time.
1 code implementation • 9 Nov 2023 • Xianming Li, Jing Li
Most recent studies employed large language models (LLMs) to learn sentence embeddings.
2 code implementations • 2 Oct 2023 • Zongxi Li, Xianming Li, Yuzhang Liu, Haoran Xie, Jing Li, Fu-lee Wang, Qing Li, Xiaoqin Zhong
We evaluate this approach with Label Supervised LLaMA (LS-LLaMA), based on LLaMA-2-7B, a relatively small-scale LLM, and can be finetuned on a single GeForce RTX4090 GPU.
Ranked #1 on Named Entity Recognition (NER) on CoNLL03 (F1 (micro) metric)
2 code implementations • 22 Sep 2023 • Xianming Li, Jing Li
This novel approach effectively mitigates the adverse effects of the saturation zone in the cosine function, which can impede gradient and hinder optimization processes.
Ranked #1 on Semantic Textual Similarity on STS16
1 code implementation • 12 Jun 2023 • Xianming Li, Zongxi Li, Xiaotian Luo, Haoran Xie, Xing Lee, Yingbin Zhao, Fu Lee Wang, Qing Li
Revisiting the self-attention mechanism and the recurrent structure, this paper proposes a novel long-document encoding model, Recurrent Attention Network (RAN), to enable the recurrent operation of self-attention.
no code implementations • 14 Dec 2020 • Xianming Li, Yongwei Huang, Wing-Kin Ma
The minimization problem is accordingly turned into a QMI problem, and the problem is solved by a restricted linear matrix inequality relaxation with additional valid convex constraints.
no code implementations • 22 Feb 2020 • Xianming Li, Zongxi Li, Yingbin Zhao, Haoran Xie, Qing Li
The dominant text classification studies focus on training classifiers using textual instances only or introducing external knowledge (e. g., hand-craft features and domain expert knowledge).