activity
20182021
most citedSentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis

57 citations · 70 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CL202157 cited

SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis

Chengxi Li, Feiyu Gao, Jiajun Bu +8

Aspect-based sentiment analysis (ABSA) is an emerging fine-grained sentiment analysis task that aims to extract aspects, classify corresponding sentiment polarities and find opinio…

cs.CV2021

Parsing Table Structures in the Wild

Rujiao Long, Wen Wang, Nan Xue +4

This paper tackles the problem of table structure parsing (TSP) from images in the wild. In contrast to existing studies that mainly focus on parsing well-aligned tabular images wi…

cs.CV2021

Implicit Feature Alignment: Learn to Convert Text Recognizer to Text Spotter

Tianwei Wang, Yuanzhi Zhu, Lianwen Jin +5

Text recognition is a popular research subject with many associated challenges. Despite the considerable progress made in recent years, the text recognition task itself is still co…

cs.CV20214 cited

MOST: A Multi-Oriented Scene Text Detector with Localization Refinement

Minghang He, Minghui Liao, Zhibo Yang +6

Over the past few years, the field of scene text detection has progressed rapidly that modern text detectors are able to hunt text in various challenging scenarios. However, they m…

cs.CV20204 cited

Joint Layout Analysis, Character Detection and Recognition for Historical Document Digitization

Weihong Ma, Hesuo Zhang, Lianwen Jin +3

In this paper, we propose an end-to-end trainable framework for restoring historical documents content that follows the correct reading order. In this framework, two branches named…

cs.CV2020

Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition

Canjie Luo, Yuanzhi Zhu, Lianwen Jin +1

Handwritten text and scene text suffer from various shapes and distorted patterns. Thus training a robust recognition model requires a large amount of data to cover diversity as mu…