11 citations · 15 across the 2 of their papers we have counts for
5 papers
SG-Net: Syntax Guided Transformer for Language Representation
Zhuosheng Zhang, Yuwei Wu, Junru Zhou +3
Understanding human language is one of the key themes of artificial intelligence. For language representation, the capacity of effectively modeling the linguistic knowledge from th…
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses
Jiaao Chen, Yuwei Wu, Diyi Yang
We present semi-supervised models with data augmentation (SMDA), a semi-supervised text classification system to classify interactive affective responses. SMDA utilizes recent tran…
Semantics-aware BERT for Language Understanding
Zhuosheng Zhang, Yuwei Wu, Hai Zhao +4
The latest work on language representations carefully integrates contextualized features into language model training, which enables a series of success especially in various machi…
SG-Net: Syntax-Guided Machine Reading Comprehension
Zhuosheng Zhang, Yuwei Wu, Junru Zhou +3
For machine reading comprehension, the capacity of effectively modeling the linguistic knowledge from the detail-riddled and lengthy passages and getting ride of the noises is esse…
Explicit Contextual Semantics for Text Comprehension
Zhuosheng Zhang, Yuwei Wu, Zuchao Li +1
Who did what to whom is a major focus in natural language understanding, which is right the aim of semantic role labeling (SRL) task. Despite of sharing a lot of processing charact…