Search Results for author: Kunfeng Lai

Found 10 papers, 3 papers with code

Make Templates Smarter: A Template Based Data2Text System Powered by Text Stitch Model

no code implementations Findings of the Association for Computational Linguistics 2020 Bingfeng Luo, Zuo Bai, Kunfeng Lai, Jianping Shen

In addition, it reduces human involvement in template design by using a text stitch model to automatically stitch adjacent template units, which is a step that usually requires careful template design and limits template reusability.

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

1 code implementation9 Jun 2019 Hao Peng, Jian-Xin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu

In this paper, we design an event meta-schema to characterize the semantic relatedness of social events and build an event-based heterogeneous information network (HIN) integrating information from external knowledge base, and propose a novel Pair-wise Popularity Graph Convolutional Network (PP-GCN) based fine-grained social event categorization model.

Clustering Event Detection

A User-Centered Concept Mining System for Query and Document Understanding at Tencent

no code implementations21 May 2019 Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu

We further present our techniques to tag documents with user-centered concepts and to construct a topic-concept-instance taxonomy, which has helped to improve search as well as news feeds recommendation in Tencent QQ Browser.

document understanding TAG

Learning to Generate Questions by Learning What not to Generate

no code implementations27 Feb 2019 Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

In CGC-QG, we design a multi-task labeling strategy to identify whether a question word should be copied from the input passage or be generated instead, guiding the model to learn the accurate boundaries between copying and generation.

Multi-Task Learning Question Answering +2

Multiresolution Graph Attention Networks for Relevance Matching

no code implementations27 Feb 2019 Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu

In this paper, we are especially interested in relevance matching between a piece of short text and a long document, which is critical to problems like query-document matching in information retrieval and web searching.

Graph Attention Information Retrieval +4

Growing Story Forest Online from Massive Breaking News

1 code implementation1 Mar 2018 Bang Liu, Di Niu, Kunfeng Lai, Linglong Kong, Yu Xu

We describe our experience of implementing a news content organization system at Tencent that discovers events from vast streams of breaking news and evolves news story structures in an online fashion.

Graph Generation Information Threading

Matching Natural Language Sentences with Hierarchical Sentence Factorization

no code implementations1 Mar 2018 Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

The proposed sentence factorization technique leads to the invention of: 1) a new unsupervised distance metric which calculates the semantic distance between a pair of text snippets by solving a penalized optimal transport problem while preserving the logical relationship of words in the reordered sentences, and 2) new multi-scale deep learning models for supervised semantic training, based on factorized sentence hierarchies.

Paraphrase Identification Sentence

Matching Article Pairs with Graphical Decomposition and Convolutions

1 code implementation ACL 2019 Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu

Identifying the relationship between two articles, e. g., whether two articles published from different sources describe the same breaking news, is critical to many document understanding tasks.

document understanding Question Answering +2

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