Search Results for author: Xuefeng Yang

Found 9 papers, 3 papers with code

Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System

no code implementations NAACL (ACL) 2022 Tao Zhu, Zhe Zhao, Weijie Liu, Jiachi Liu, Yiren Chen, Weiquan Mao, Haoyan Liu, Kunbo Ding, Yudong Li, Xuefeng Yang

Catastrophic forgetting is a challenge for model deployment in industrial real-time systems, which requires the model to quickly master a new task without forgetting the old one.

Continual Learning text-classification +1

Recouple Event Field via Probabilistic Bias for Event Extraction

no code implementations19 May 2023 Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang

Event Extraction (EE), aiming to identify and classify event triggers and arguments from event mentions, has benefited from pre-trained language models (PLMs).

Event Extraction

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching

1 code implementation Findings (NAACL) 2022 Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang

Previous studies have proved that cross-lingual knowledge distillation can significantly improve the performance of pre-trained models for cross-lingual similarity matching tasks.

Contrastive Learning Knowledge Distillation +3

Semantic Matching from Different Perspectives

1 code implementation14 Feb 2022 Weijie Liu, Tao Zhu, Weiquan Mao, Zhe Zhao, Weigang Guo, Xuefeng Yang, Qi Ju

In this paper, we pay attention to the issue which is usually overlooked, i. e., \textit{similarity should be determined from different perspectives}.

Sentence Text Matching +1

TableQA: a Large-Scale Chinese Text-to-SQL Dataset for Table-Aware SQL Generation

2 code implementations10 Jun 2020 Ningyuan Sun, Xuefeng Yang, Yunfeng Liu

Existing NL2SQL datasets assume that condition values should appear exactly in natural language questions and the queries are answerable given the table.

Text-To-SQL

Improving Relation Extraction with Knowledge-attention

no code implementations IJCNLP 2019 Pengfei Li, Kezhi Mao, Xuefeng Yang, Qi Li

While attention mechanisms have been proven to be effective in many NLP tasks, majority of them are data-driven.

Relation Relation Extraction

Technical report on Conversational Question Answering

no code implementations24 Sep 2019 Ying Ju, Fubang Zhao, Shijie Chen, Bowen Zheng, Xuefeng Yang, Yunfeng Liu

Conversational Question Answering is a challenging task since it requires understanding of conversational history.

Conversational Question Answering Data Augmentation +1

Supervised Fine Tuning for Word Embedding with Integrated Knowledge

no code implementations29 May 2015 Xuefeng Yang, Kezhi Mao

Inspired by deep learning, the authors propose a supervised framework for learning vector representation of words to provide additional supervised fine tuning after unsupervised learning.

Sentence Sentence Completion +1

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