5 citations · 12 across the 8 of their papers we have counts for
9 papers · 1 filter
Effective Unsupervised Constrained Text Generation based on Perturbed Masking
Yingwen Fu, Wenjie Ou, Zhou Yu +1
Unsupervised constrained text generation aims to generate text under a given set of constraints without any supervised data. Current state-of-the-art methods stochastically sample…
How to choose "Good" Samples for Text Data Augmentation
Xiaotian Lin, Nankai Lin, Yingwen Fu +2
Deep learning-based text classification models need abundant labeled data to obtain competitive performance. Unfortunately, annotating large-size corpus is time-consuming and labor…
MIGA: A Unified Multi-task Generation Framework for Conversational Text-to-SQL
Yingwen Fu, Wenjie Ou, Zhou Yu +1
Conversational text-to-SQL is designed to translate multi-turn natural language questions into their corresponding SQL queries. Most state-of-the-art conversational text- to-SQL me…
A New Evaluation Method: Evaluation Data and Metrics for Chinese Grammar Error Correction
Nankai Lin, Xiaotian Lin, Ziyu Yang +1
As a fundamental task in natural language processing, Chinese Grammatical Error Correction (CGEC) has gradually received widespread attention and become a research hotspot. However…
Yunshan Cup 2020: Overview of the Part-of-Speech Tagging Task for Low-resourced Languages
Yingwen Fu, Jinyi Chen, Nankai Lin +3
The Yunshan Cup 2020 track focused on creating a framework for evaluating different methods of part-of-speech (POS). There were two tasks for this track: (1) POS tagging for the In…
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity Recognition
Yingwen Fu, Nankai Lin, Ziyu Yang +1
Cross-lingual Named Entity Recognition (NER) has recently become a research hotspot because it can alleviate the data-hungry problem for low-resource languages. However, few resear…
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis
Nankai Lin, Yingwen Fu, Xiaotian Lin +2
As an extensive research in the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is the task of predicting the sentiment expressed in a text relat…
LaoPLM: Pre-trained Language Models for Lao
Nankai Lin, Yingwen Fu, Chuwei Chen +2
Trained on the large corpus, pre-trained language models (PLMs) can capture different levels of concepts in context and hence generate universal language representations. They can…
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition
Yingwen Fu, Nankai Lin, Zhihe Yang +1
Named entity recognition (NER) is a fundamental task of natural language processing (NLP). However, most state-of-the-art research is mainly oriented to high-resource languages suc…