519 citations · 1.7k across the 26 of their papers we have counts for
5 papers · 1 filter
ListReader: Extracting List-form Answers for Opinion Questions
Peng Cui, Dongyao Hu, Le Hu
Question answering (QA) is a high-level ability of natural language processing. Most extractive ma-chine reading comprehension models focus on factoid questions (e.g., who, when, w…
Topic-Guided Abstractive Multi-Document Summarization
Peng Cui, Le Hu
A critical point of multi-document summarization (MDS) is to learn the relations among various documents. In this paper, we propose a novel abstractive MDS model, in which we repre…
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
Peng Cui, Le Hu, Yuanchao Liu
Text summarization aims to compress a textual document to a short summary while keeping salient information. Extractive approaches are widely used in text summarization because of…
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
Peng Cui, Le Hu, Yuanchao Liu
Sentence matching is a fundamental task of natural language processing with various applications. Most recent approaches adopt attention-based neural models to build word- or phras…
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Guanglin Niu, Yongfei Zhang, Bo Li +4
Representation learning on a knowledge graph (KG) is to embed entities and relations of a KG into low-dimensional continuous vector spaces. Early KG embedding methods only pay atte…