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20062025
most citedDistance-IoU Loss: Faster and Better Learning for Bounding Box Regression

961 citations

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13 papers · 1 filter

cs.CL20215 cited

A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition

Fei Li, Zhichao Lin, Meishan Zhang +1

Research on overlapped and discontinuous named entity recognition (NER) has received increasing attention. The majority of previous work focuses on either overlapped or discontinuo…

cs.CL2021

Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning

Jinsong Su, Jialong Tang, Hui Jiang +6

In aspect-based sentiment analysis (ABSA), many neural models are equipped with an attention mechanism to quantify the contribution of each context word to sentiment prediction. Ho…

cs.CL20214 cited

End-to-end Semantic Role Labeling with Neural Transition-based Model

Hao Fei, Meishan Zhang, Bobo Li +1

End-to-end semantic role labeling (SRL) has been received increasing interest. It performs the two subtasks of SRL: predicate identification and argument role labeling, jointly. Re…

cs.CL2020

Modeling Homophone Noise for Robust Neural Machine Translation

Wenjie Qin, Xiang Li, Yuhui Sun +3

In this paper, we propose a robust neural machine translation (NMT) framework. The framework consists of a homophone noise detector and a syllable-aware NMT model to homophone erro…

cs.CL20202 cited

A Survey of Syntactic-Semantic Parsing Based on Constituent and Dependency Structures

Meishan Zhang

Syntactic and semantic parsing has been investigated for decades, which is one primary topic in the natural language processing community. This article aims for a brief survey on t…

cs.CL2020

DRTS Parsing with Structure-Aware Encoding and Decoding

Qiankun Fu, Yue Zhang, Jiangming Liu +1

Discourse representation tree structure (DRTS) parsing is a novel semantic parsing task which has been concerned most recently. State-of-the-art performance can be achieved by a ne…