Search Results for author: Jingfeng Yang

Found 11 papers, 6 papers with code

WIKIBIAS: Detecting Multi-Span Subjective Biases in Language

1 code implementation Findings (EMNLP) 2021 Yang Zhong, Jingfeng Yang, Wei Xu, Diyi Yang

Biases continue to be prevalent in modern text and media, especially subjective bias – a special type of bias that introduces improper attitudes or presents a statement with the presupposition of truth.

TableFormer: Robust Transformer Modeling for Table-Text Encoding

1 code implementation ACL 2022 Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul

Existing models for table understanding require linearization of the table structure, where row or column order is encoded as an unwanted bias.

Natural Language Understanding

LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

no code implementations28 May 2020 Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn

This strengthens the local feature invariance for the resampled features and enables detecting vehicles in an arbitrary orientation.

object-detection Object Detection +1

Chinese Discourse Segmentation Using Bilingual Discourse Commonality

no code implementations30 Aug 2018 Jingfeng Yang, Sujian Li

Discourse segmentation aims to segment Elementary Discourse Units (EDUs) and is a fundamental task in discourse analysis.

Discourse Segmentation

Toward Fast and Accurate Neural Discourse Segmentation

1 code implementation EMNLP 2018 Yizhong Wang, Sujian Li, Jingfeng Yang

Discourse segmentation, which segments texts into Elementary Discourse Units, is a fundamental step in discourse analysis.

Discourse Segmentation

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