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20212023
most citedMultilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models

10 citations · 44 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2023★ 8 cited

Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining

Benjia Zhou, Zhigang Chen, Albert Clapés +5

Sign Language Translation (SLT) is a challenging task due to its cross-domain nature, involving the translation of visual-gestural language to text. Many previous methods employ an…

cs.CL2022★ 1 cited

WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition

Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu +5

Zero-shot cross-lingual named entity recognition (NER) aims at transferring knowledge from annotated and rich-resource data in source languages to unlabeled and lean-resource data…

cs.CL2022★ 2 cited

Overview of CTC 2021: Chinese Text Correction for Native Speakers

Honghong Zhao, Baoxin Wang, Dayong Wu +3

In this paper, we present an overview of the CTC 2021, a Chinese text correction task for native speakers. We give detailed descriptions of the task definition and the data for tra…

cs.CL2022★ 10 cited

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding

Wayne Xin Zhao, Kun Zhou, Zheng Gong +7

This paper aims to advance the mathematical intelligence of machines by presenting the first Chinese mathematical pre-trained language model~(PLM) for effectively understanding and…

cs.CL2022★ 1 cited

Improving Pre-trained Language Models with Syntactic Dependency Prediction Task for Chinese Semantic Error Recognition

Bo Sun, Baoxin Wang, Wanxiang Che +3

Existing Chinese text error detection mainly focuses on spelling and simple grammatical errors. These errors have been studied extensively and are relatively simple for humans. On…

cs.CL2022

HIT at SemEval-2022 Task 2: Pre-trained Language Model for Idioms Detection

Zheng Chu, Ziqing Yang, Yiming Cui +2

The same multi-word expressions may have different meanings in different sentences. They can be mainly divided into two categories, which are literal meaning and idiomatic meaning.…

cs.CL2022

HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity

Zihang Xu, Ziqing Yang, Yiming Cui +1

This paper describes our system designed for SemEval-2022 Task 8: Multilingual News Article Similarity. We proposed a linguistics-inspired model trained with a few task-specific st…

cs.CL2022

TextPruner: A Model Pruning Toolkit for Pre-Trained Language Models

Ziqing Yang, Yiming Cui, Zhigang Chen

Pre-trained language models have been prevailed in natural language processing and become the backbones of many NLP tasks, but the demands for computational resources have limited…

cs.CL2022★ 2 cited

Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training

Ziqing Yang, Yiming Cui, Zhigang Chen +1

Multilingual pre-trained language models (MPLMs) not only can handle tasks in different languages but also exhibit surprising zero-shot cross-lingual transferability. However, MPLM…

cs.CL2022★ 10 cited

CINO: A Chinese Minority Pre-trained Language Model

Ziqing Yang, Zihang Xu, Yiming Cui +4

Multilingual pre-trained language models have shown impressive performance on cross-lingual tasks. It greatly facilitates the applications of natural language processing on low-res…

cs.CL2021★ 10 cited

Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models

Yiming Cui, Wei-Nan Zhang, Wanxiang Che +3

Achieving human-level performance on some of the Machine Reading Comprehension (MRC) datasets is no longer challenging with the help of powerful Pre-trained Language Models (PLMs).…