activity
20182021
most citedTENER: Adapting Transformer Encoder for Named Entity Recognition

247 citations · 290 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CL202112 cited

Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa

Junqi Dai, Hang Yan, Tianxiang Sun +2

Aspect-based Sentiment Analysis (ABSA), aiming at predicting the polarities for aspects, is a fine-grained task in the field of sentiment analysis. Previous work showed syntactic i…

cs.CL2020

Text Information Aggregation with Centrality Attention

Jingjing Gong, Hang Yan, Yining Zheng +2

A lot of natural language processing problems need to encode the text sequence as a fix-length vector, which usually involves aggregation process of combining the representations o…

cs.CL20202 cited

BERT for Monolingual and Cross-Lingual Reverse Dictionary

Hang Yan, Xiaonan Li, Xipeng Qiu

Reverse dictionary is the task to find the proper target word given the word description. In this paper, we tried to incorporate BERT into this task. However, since BERT is based o…

cs.CL202012 cited

FLAT: Chinese NER Using Flat-Lattice Transformer

Xiaonan Li, Hang Yan, Xipeng Qiu +1

Recently, the character-word lattice structure has been proved to be effective for Chinese named entity recognition (NER) by incorporating the word information. However, since the…

cs.CL2019247 cited

TENER: Adapting Transformer Encoder for Named Entity Recognition

Hang Yan, Bocao Deng, Xiaonan Li +1

The Bidirectional long short-term memory networks (BiLSTM) have been widely used as an encoder in models solving the named entity recognition (NER) task. Recently, the Transformer…

cs.CV2019

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features

Tao Gui, Lizhi Qing, Qi Zhang +4

Multi-task learning (MTL) has received considerable attention, and numerous deep learning applications benefit from MTL with multiple objectives. However, constructing multiple rel…