10 citations · 44 across the 11 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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.…
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…
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…
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…
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…