85 citations · 252 across the 18 of their papers we have counts for
5 papers · 1 filter
Subword Encoding in Lattice LSTM for Chinese Word Segmentation
Jie Yang, Yue Zhang, Shuailong Liang
We investigate a lattice LSTM network for Chinese word segmentation (CWS) to utilize words or subwords. It integrates the character sequence features with all subsequences informat…
Neural Transition-based Syntactic Linearization
Linfeng Song, Yue Zhang, Daniel Gildea
The task of linearization is to find a grammatical order given a set of words. Traditional models use statistical methods. Syntactic linearization systems, which generate a sentenc…
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks
Linfeng Song, Zhiguo Wang, Mo Yu +3
Multi-hop reading comprehension focuses on one type of factoid question, where a system needs to properly integrate multiple pieces of evidence to correctly answer a question. Prev…
Two Local Models for Neural Constituent Parsing
Zhiyang Teng, Yue Zhang
Non-local features have been exploited by syntactic parsers for capturing dependencies between sub output structures. Such features have been a key to the success of state-of-the-a…
A Graph-to-Sequence Model for AMR-to-Text Generation
Linfeng Song, Yue Zhang, Zhiguo Wang +1
The problem of AMR-to-text generation is to recover a text representing the same meaning as an input AMR graph. The current state-of-the-art method uses a sequence-to-sequence mode…