Search Results for author: Yicheng Zou

Found 11 papers, 8 papers with code

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling

no code implementations25 May 2022 Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li

Previous works on sentence scoring mainly adopted either causal language modeling (CLM) like GPT or masked language modeling (MLM) like BERT, which have some limitations: 1) CLM only utilizes unidirectional information for the probability estimation of a sentence without considering bidirectional context, which affects the scoring quality; 2) MLM can only estimate the probability of partial tokens at a time and thus requires multiple forward passes to estimate the probability of the whole sentence, which incurs large computation and time cost.

Causal Language Modeling Language Modelling +2

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents

1 code implementation Findings (ACL) 2022 Yicheng Zou, Hongwei Liu, Tao Gui, Junzhe Wang, Qi Zhang, Meng Tang, Haixiang Li, Daniel Wang

Text semantic matching is a fundamental task that has been widely used in various scenarios, such as community question answering, information retrieval, and recommendation.

Community Question Answering Information Retrieval

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining

1 code implementation EMNLP 2021 Yicheng Zou, Bolin Zhu, Xingwu Hu, Tao Gui, Qi Zhang

With the rapid increase in the volume of dialogue data from daily life, there is a growing demand for dialogue summarization.

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling

1 code implementation14 Dec 2020 Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu

In a customer service system, dialogue summarization can boost service efficiency by automatically creating summaries for long spoken dialogues in which customers and agents try to address issues about specific topics.

A Lexicon-Based Graph Neural Network for Chinese NER

no code implementations IJCNLP 2019 Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang

Recurrent neural networks (RNN) used for Chinese named entity recognition (NER) that sequentially track character and word information have achieved great success.

Chinese Named Entity Recognition named-entity-recognition +1

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