237 citations · 1.2k across the 87 of their papers we have counts for
10 papers · 1 filter
Explicit Sentence Compression for Neural Machine Translation
Zuchao Li, Rui Wang, Kehai Chen +4
State-of-the-art Transformer-based neural machine translation (NMT) systems still follow a standard encoder-decoder framework, in which source sentence representation can be well d…
Probing Contextualized Sentence Representations with Visual Awareness
Zhuosheng Zhang, Rui Wang, Kehai Chen +3
We present a universal framework to model contextualized sentence representations with visual awareness that is motivated to overcome the shortcomings of the multimodal parallel da…
LIMIT-BERT : Linguistic Informed Multi-Task BERT
Junru Zhou, Zhuosheng Zhang, Hai Zhao +1
In this paper, we present a Linguistic Informed Multi-Task BERT (LIMIT-BERT) for learning language representations across multiple linguistic tasks by Multi-Task Learning (MTL). LI…
Modeling Named Entity Embedding Distribution into Hypersphere
Zhuosheng Zhang, Bingjie Tang, Zuchao Li +1
This work models named entity distribution from a way of visualizing topological structure of embedding space, so that we make an assumption that most, if not all, named entities (…
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…
DCMN+: Dual Co-Matching Network for Multi-choice Reading Comprehension
Shuailiang Zhang, Hai Zhao, Yuwei Wu +3
Multi-choice reading comprehension is a challenging task to select an answer from a set of candidate options when given passage and question. Previous approaches usually only calcu…
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…
Judging Chemical Reaction Practicality From Positive Sample only Learning
Shu Jiang, Zhuosheng Zhang, Hai Zhao +4
Chemical reaction practicality is the core task among all symbol intelligence based chemical information processing, for example, it provides indispensable clue for further automat…
Dependency or Span, End-to-End Uniform Semantic Role Labeling
Zuchao Li, Shexia He, Hai Zhao +4
Semantic role labeling (SRL) aims to discover the predicateargument structure of a sentence. End-to-end SRL without syntactic input has received great attention. However, most of t…
Dual Co-Matching Network for Multi-choice Reading Comprehension
Shuailiang Zhang, Hai Zhao, Yuwei Wu +3
Multi-choice reading comprehension is a challenging task that requires complex reasoning procedure. Given passage and question, a correct answer need to be selected from a set of c…