22 citations · 29 across the 5 of their papers we have counts for
6 papers
Conversational Semantic Role Labeling with Predicate-Oriented Latent Graph
Hao Fei, Shengqiong Wu, Meishan Zhang +2
Conversational semantic role labeling (CSRL) is a newly proposed task that uncovers the shallow semantic structures in a dialogue text. Unfortunately several important characterist…
Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledge
Shengqiong Wu, Hao Fei, Yafeng Ren +2
In this paper, we propose to enhance the pair-wise aspect and opinion terms extraction (PAOTE) task by incorporating rich syntactic knowledge. We first build a syntax fusion encode…
Nominal Compound Chain Extraction: A New Task for Semantic-enriched Lexical Chain
Bobo Li, Hao Fei, Yafeng Ren +1
Lexical chain consists of cohesion words in a document, which implies the underlying structure of a text, and thus facilitates downstream NLP tasks. Nevertheless, existing work foc…
Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP
Hao Fei, Yafeng Ren, Donghong Ji
Syntax has been shown useful for various NLP tasks, while existing work mostly encodes singleton syntactic tree using one hierarchical neural network. In this paper, we investigate…
Retrofitting Structure-aware Transformer Language Model for End Tasks
Hao Fei, Yafeng Ren, Donghong Ji
We consider retrofitting structure-aware Transformer-based language model for facilitating end tasks by proposing to exploit syntactic distance to encode both the phrasal constitue…
High-order Refining for End-to-end Chinese Semantic Role Labeling
Hao Fei, Yafeng Ren, Donghong Ji
Current end-to-end semantic role labeling is mostly accomplished via graph-based neural models. However, these all are first-order models, where each decision for detecting any pre…