Search Results for author: Chuanqi Tan

Found 30 papers, 14 papers with code

Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition

no code implementations14 Oct 2021 Zheng Yuan, Chuanqi Tan, Songfang Huang, Fei Huang

Nested entities are observed in many domains due to their compositionality, which cannot be easily recognized by the widely-used sequence labeling framework.

Classification NER +1

Learning to Ask for Data-Efficient Event Argument Extraction

no code implementations1 Oct 2021 Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

Event argument extraction (EAE) is an important task for information extraction to discover specific argument roles.

LightNER: A Lightweight Generative Framework with Prompt-guided Attention for Low-resource NER

no code implementations31 Aug 2021 Xiang Chen, Ningyu Zhang, Lei LI, Xin Xie, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen

Most existing NER methods rely on extensive labeled data for model training, which struggles in the low-resource scenarios with limited training data.

Few-Shot Learning Language Modelling +2

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

no code implementations30 Aug 2021 Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen

Large-scale pre-trained language models have contributed significantly to natural language processing by demonstrating remarkable abilities as few-shot learners.

Language Modelling

Document-level Relation Extraction as Semantic Segmentation

2 code implementations7 Jun 2021 Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen

Specifically, we leverage an encoder module to capture the context information of entities and a U-shaped segmentation module over the image-style feature map to capture global interdependency among triples.

Document-level Relation Extraction +1

Improving Biomedical Pretrained Language Models with Knowledge

1 code implementation21 Apr 2021 Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, Fei Huang

To this end, we propose KeBioLM, a biomedical pretrained language model that explicitly leverages knowledge from the UMLS knowledge bases.

Entity Linking Language Modelling +2

Probing BERT in Hyperbolic Spaces

1 code implementation ICLR 2021 Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing

We introduce a Poincare probe, a structural probe projecting these embeddings into a Poincare subspace with explicitly defined hierarchies.

Word Embeddings

Normal vs. Adversarial: Salience-based Analysis of Adversarial Samples for Relation Extraction

1 code implementation1 Apr 2021 Luoqiu Li, Xiang Chen, Ningyu Zhang, Shumin Deng, Xin Xie, Chuanqi Tan, Mosha Chen, Fei Huang, Huajun Chen

Recent neural-based relation extraction approaches, though achieving promising improvement on benchmark datasets, have reported their vulnerability towards adversarial attacks.

Relation Extraction

Predicting Clinical Trial Results by Implicit Evidence Integration

1 code implementation EMNLP 2020 Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang

In the CTRP framework, a model takes a PICO-formatted clinical trial proposal with its background as input and predicts the result, i. e. how the Intervention group compares with the Comparison group in terms of the measured Outcome in the studied Population.


Attention-based Transfer Learning for Brain-computer Interface

no code implementations25 Apr 2019 Chuanqi Tan, Fuchun Sun, Tao Kong, Bin Fang, Wenchang Zhang

Different functional areas of the human brain play different roles in brain activity, which has not been paid sufficient research attention in the brain-computer interface (BCI) field.

Classification EEG +2

Neural Melody Composition from Lyrics

no code implementations12 Sep 2018 Hangbo Bao, Shaohan Huang, Furu Wei, Lei Cui, Yu Wu, Chuanqi Tan, Songhao Piao, Ming Zhou

In this paper, we study a novel task that learns to compose music from natural language.

A Survey on Deep Transfer Learning

no code implementations6 Aug 2018 Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, Chunfang Liu

As a new classification platform, deep learning has recently received increasing attention from researchers and has been successfully applied to many domains.

General Classification Transfer Learning

Deep Transfer Learning for EEG-based Brain Computer Interface

no code implementations6 Aug 2018 Chuanqi Tan, Fuchun Sun, Wenchang Zhang

First, we model cognitive events based on EEG data by characterizing the data using EEG optical flow, which is designed to preserve multimodal EEG information in a uniform representation.

EEG Optical Flow Estimation +1

Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography

no code implementations24 Jul 2018 Chuanqi Tan, Fuchun Sun, Wenchang Zhang, Jianhua Chen, Chunfang Liu

Herein, we propose a novel approach to modeling cognitive events from EEG data by reducing it to a video classification problem, which is designed to preserve the multimodal information of EEG.

Classification EEG +3

Multiway Attention Networks for Modeling Sentence Pairs

1 code implementation IJCAI 2018 Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou

Modeling sentence pairs plays the vital role for judging the relationship between two sentences, such as paraphrase identification, natural language inference, and answer sentence selection.

Natural Language Inference Paraphrase Identification

S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension

no code implementations15 Jun 2017 Chuanqi Tan, Furu Wei, Nan Yang, Bowen Du, Weifeng Lv, Ming Zhou

We build the answer extraction model with state-of-the-art neural networks for single passage reading comprehension, and propose an additional task of passage ranking to help answer extraction in multiple passages.

Machine Reading Comprehension

Entity Linking for Queries by Searching Wikipedia Sentences

no code implementations EMNLP 2017 Chuanqi Tan, Furu Wei, Pengjie Ren, Weifeng Lv, Ming Zhou

The key idea is to search sentences similar to a query from Wikipedia articles and directly use the human-annotated entities in the similar sentences as candidate entities for the query.

Entity Linking Word Embeddings

Neural Question Generation from Text: A Preliminary Study

4 code implementations6 Apr 2017 Qingyu Zhou, Nan Yang, Furu Wei, Chuanqi Tan, Hangbo Bao, Ming Zhou

Automatic question generation aims to generate questions from a text passage where the generated questions can be answered by certain sub-spans of the given passage.

Question Generation

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