25 citations · 120 across the 35 of their papers we have counts for
10 papers · 1 filter
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…
Dependency and Span, Cross-Style Semantic Role Labeling on PropBank and NomBank
Zuchao Li, Hai Zhao, Junru Zhou +2
The latest developments in neural semantic role labeling (SRL) have shown great performance improvements with both the dependency and span formalisms/styles. Although the two style…
Deepening Hidden Representations from Pre-trained Language Models
Junjie Yang, Hai Zhao
Transformer-based pre-trained language models have proven to be effective for learning contextualized language representation. However, current approaches only take advantage of th…
Attention Is All You Need for Chinese Word Segmentation
Sufeng Duan, Hai Zhao
Taking greedy decoding algorithm as it should be, this work focuses on further strengthening the model itself for Chinese word segmentation (CWS), which results in an even more fas…
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…
Concurrent Parsing of Constituency and Dependency
Junru Zhou, Shuailiang Zhang, Hai Zhao
Constituent and dependency representation for syntactic structure share a lot of linguistic and computational characteristics, this paper thus makes the first attempt by introducin…
Memorizing All for Implicit Discourse Relation Recognition
Hongxiao Bai, Hai Zhao, Junhan Zhao
Implicit discourse relation recognition is a challenging task due to the absence of the necessary informative clue from explicit connectives. The prediction of relations requires a…
Parsing All: Syntax and Semantics, Dependencies and Spans
Junru Zhou, Zuchao Li, Hai Zhao
Both syntactic and semantic structures are key linguistic contextual clues, in which parsing the latter has been well shown beneficial from parsing the former. However, few works e…
Controllable Dual Skew Divergence Loss for Neural Machine Translation
Zuchao Li, Hai Zhao, Yingting Wu +2
In sequence prediction tasks like neural machine translation, training with cross-entropy loss often leads to models that overgeneralize and plunge into local optima. In this paper…
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…