Search Results for author: Suncong Zheng

Found 8 papers, 5 papers with code

KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships

1 code implementation Findings (EMNLP) 2021 Lei He, Suncong Zheng, Tao Yang, Feng Zhang

In this work, we propose to incorporate KG (including both entities and relations) into the language learning process to obtain KG-enhanced pretrained Language Model, namely KLMo.

Entity Linking Entity Typing +3

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis

no code implementations31 Dec 2020 Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi

This technique report introduces TexSmart, a text understanding system that supports fine-grained named entity recognition (NER) and enhanced semantic analysis functionalities.

Named Entity Recognition NER

Combining Lexical and Semantic-based Features for Answer Sentence Selection

no code implementations WS 2016 Jing Shi, Jiaming Xu, Yiqun Yao, Suncong Zheng, Bo Xu

As the result of the evaluation shows, our solution provides a valuable and brief model which could be used in modelling question answering or sentence semantic relevance.

Feature Engineering Open-Domain Question Answering

Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling

3 code implementations COLING 2016 Peng Zhou, Zhenyu Qi, Suncong Zheng, Jiaming Xu, Hongyun Bao, Bo Xu

To integrate the features on both dimensions of the matrix, this paper explores applying 2D max pooling operation to obtain a fixed-length representation of the text.

Classification General Classification +2

Hierarchical Memory Networks for Answer Selection on Unknown Words

1 code implementation COLING 2016 Jiaming Xu, Jing Shi, Yiqun Yao, Suncong Zheng, Bo Xu

Recently, end-to-end memory networks have shown promising results on Question Answering task, which encode the past facts into an explicit memory and perform reasoning ability by making multiple computational steps on the memory.

Answer Selection

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