95 citations · 615 across the 46 of their papers we have counts for
7 papers · 1 filter
Aggressive Language Detection with Joint Text Normalization via Adversarial Multi-task Learning
Shengqiong Wu, Hao Fei, Donghong Ji
Aggressive language detection (ALD), detecting the abusive and offensive language in texts, is one of the crucial applications in NLP community. Most existing works treat ALD as re…
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…
Cross-lingual Semantic Role Labeling with Model Transfer
Hao Fei, Meishan Zhang, Fei Li +1
Prior studies show that cross-lingual semantic role labeling (SRL) can be achieved by model transfer under the help of universal features. In this paper, we fill the gap of cross-l…