Search Results for author: Qingcai Chen

Found 42 papers, 15 papers with code

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text

no code implementations EMNLP 2020 Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang

Machine reading comprehension (MRC) has achieved significant progress on the open domain in recent years, mainly due to large-scale pre-trained language models.

Machine Reading Comprehension

FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training

1 code implementation CVPR 2023 Yunpeng Han, Lisai Zhang, Qingcai Chen, Zhijian Chen, Zhonghua Li, Jianxin Yang, Zhao Cao

We propose a method for fine-grained fashion vision-language pre-training based on fashion Symbols and Attributes Prompt (FashionSAP) to model fine-grained multi-modalities fashion attributes and characteristics.

A Neural Span-Based Continual Named Entity Recognition Model

1 code implementation23 Feb 2023 Yunan Zhang, Qingcai Chen

Named Entity Recognition (NER) models capable of Continual Learning (CL) are realistically valuable in areas where entity types continuously increase (e. g., personal assistants).

Continual Named Entity Recognition Knowledge Distillation +3

iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models

1 code implementation3 Dec 2022 Jiahao Li, Zhourun Wu, Wenhao Lin, Jiawei Luo, Jun Zhang, Qingcai Chen, Junjie Chen

Results: In this paper, we propose a multi-scale enhancer identification method (iEnhancer-ELM) based on enhancer language models, which treat enhancer sequences as natural language sentences that are composed of k-mer nucleotides.

Language Modelling

SeDR: Segment Representation Learning for Long Documents Dense Retrieval

1 code implementation20 Nov 2022 Junying Chen, Qingcai Chen, Dongfang Li, Yutao Huang

In SeDR, Segment-Interaction Transformer is proposed to encode long documents into document-aware and segment-sensitive representations, while it holds the complexity of splitting-and-pooling and outperforms other segment-interaction patterns on DR.

Representation Learning Retrieval

Calibration Meets Explanation: A Simple and Effective Approach for Model Confidence Estimates

1 code implementation6 Nov 2022 Dongfang Li, Baotian Hu, Qingcai Chen

We conduct extensive experiments on six datasets with two popular pre-trained language models in the in-domain and out-of-domain settings.

Prompt-based Text Entailment for Low-Resource Named Entity Recognition

no code implementations COLING 2022 Dongfang Li, Baotian Hu, Qingcai Chen

To address these challenges, we propose Prompt-based Text Entailment (PTE) for low-resource named entity recognition, which better leverages knowledge in the PLMs.

Low Resource Named Entity Recognition named-entity-recognition +2

A Survey on Table Question Answering: Recent Advances

no code implementations12 Jul 2022 Nengzheng Jin, Joanna Siebert, Dongfang Li, Qingcai Chen

Table Question Answering (Table QA) refers to providing precise answers from tables to answer a user's question.

Question Answering Semantic Parsing

Medical Dialogue Response Generation with Pivotal Information Recalling

no code implementations17 Jun 2022 Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang, Yuxin Ding, Min Zhang

To mitigate this problem, we propose a medical response generation model with Pivotal Information Recalling (MedPIR), which is built on two components, i. e., knowledge-aware dialogue graph encoder and recall-enhanced generator.

Dialogue Generation Graph Attention +1

Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction

1 code implementation20 Dec 2021 Dongfang Li, Baotian Hu, Qingcai Chen, Tujie Xu, Jingcong Tao, Yunan Zhang

Recent works have shown explainability and robustness are two crucial ingredients of trustworthy and reliable text classification.

text-classification Text Classification

Diaformer: Automatic Diagnosis via Symptoms Sequence Generation

1 code implementation20 Dec 2021 Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu

Detailed analysis on symptom inquiry prediction demonstrates that the potential of applying symptoms sequence generation for automatic diagnosis.

Sentence-level Online Handwritten Chinese Character Recognition

no code implementations4 Jul 2021 Yunxin Li, Qian Yang, Qingcai Chen, Lin Ma, Baotian Hu, Xiaolong Wang, Yuxin Ding

Single online handwritten Chinese character recognition~(single OLHCCR) has achieved prominent performance.

Word Embeddings

GlyphCRM: Bidirectional Encoder Representation for Chinese Character with its Glyph

no code implementations1 Jul 2021 Yunxin Li, Yu Zhao, Baotian Hu, Qingcai Chen, Yang Xiang, Xiaolong Wang, Yuxin Ding, Lin Ma

Previous works indicate that the glyph of Chinese characters contains rich semantic information and has the potential to enhance the representation of Chinese characters.

Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning

1 code implementation ACL 2021 Shuoran Jiang, Qingcai Chen, Xin Liu, Baotian Hu, Lisai Zhang

In this study, we define the spectral graph convolutional network with the high-order dynamic Chebyshev approximation (HDGCN), which augments the multi-hop graph reasoning by fusing messages aggregated from direct and long-term dependencies into one convolutional layer.

You Can Do Better! If You Elaborate the Reason When Making Prediction

no code implementations27 Mar 2021 Dongfang Li, Jingcong Tao, Qingcai Chen, Baotian Hu

The experimental results show that the proposed approach can generate reasonable explanations for its predictions even with a small-scale training corpus.

Multiple-choice Natural Language Inference +1

MedWriter: Knowledge-Aware Medical Text Generation

no code implementations COLING 2020 Youcheng Pan, Qingcai Chen, Weihua Peng, Xiaolong Wang, Baotian Hu, Xin Liu, Junying Chen, Wenxiu Zhou

To exploit the domain knowledge to guarantee the correctness of generated text has been a hot topic in recent years, especially for high professional domains such as medical.

Text Generation

Neural Data-to-Text Generation with Dynamic Content Planning

no code implementations16 Apr 2020 Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu

We further design a reconstruction mechanism with a novel objective function that can reconstruct the whole entry of the used data sequentially from the hidden states of the decoder, which aids the accuracy of the generated text.

Data-to-Text Generation

Decomposing Word Embedding with the Capsule Network

no code implementations7 Apr 2020 Xin Liu, Qingcai Chen, Yan Liu, Joanna Siebert, Baotian Hu, Xiang-Ping Wu, Buzhou Tang

We propose a Capsule network-based method to Decompose the unsupervised word Embedding of an ambiguous word into context specific Sense embedding, called CapsDecE2S.

Binary Classification Word Embeddings +1

Text-Guided Neural Image Inpainting

1 code implementation7 Apr 2020 Lisai Zhang, Qingcai Chen, Baotian Hu, Shuoran Jiang

To fulfill such a task, we propose a novel inpainting model named Text-Guided Dual Attention Inpainting Network (TDANet).

Descriptive Image Inpainting +3

Trigger Word Detection and Thematic Role Identification via BERT and Multitask Learning

no code implementations WS 2019 Dongfang Li, Ying Xiong, Baotian Hu, Hanyang Du, Buzhou Tang, Qingcai Chen

In this paper, we present our approaches for trigger word detection (task 1) and the identification of its thematic role (task 2) in AGAC track of BioNLP Open Shared Task 2019.

Drug Discovery Multi-Task Learning +2

A Deep Learning-Based System for PharmaCoNER

no code implementations WS 2019 Ying Xiong, Yedan Shen, Yuanhang Huang, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Jun Yan, Yi Zhou

The Biological Text Mining Unit at BSC and CNIO organized the first shared task on chemical {\&} drug mention recognition from Spanish medical texts called PharmaCoNER (Pharmacological Substances, Compounds and proteins and Named Entity Recognition track) in 2019, which includes two tracks: one for NER offset and entity classification (track 1) and the other one for concept indexing (track 2).

General Classification named-entity-recognition +2

BERTSel: Answer Selection with Pre-trained Models

1 code implementation18 May 2019 Dongfang Li, Yifei Yu, Qingcai Chen, Xinyu Li

we are the first to explore the performance of fine-tuning BERT for answer selection.

Answer Selection Natural Language Inference

The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification

no code implementations EMNLP 2018 Jing Chen, Qingcai Chen, Xin Liu, Haijun Yang, Daohe Lu, Buzhou Tang

As the largest manually annotated public Chinese SSEI corpus in the bank domain, the BQ corpus is not only useful for Chinese question semantic matching research, but also a significant resource for cross-lingual and cross-domain SSEI research.

Clustering Paraphrase Identification +1

LCQMC:A Large-scale Chinese Question Matching Corpus

no code implementations COLING 2018 Xin Liu, Qingcai Chen, Chong Deng, Huajun Zeng, Jing Chen, Dongfang Li, Buzhou Tang

In this paper, we first use a search engine to collect large-scale question pairs related to high-frequency words from various domains, then filter irrelevant pairs by the Wasserstein distance, and finally recruit three annotators to manually check the left pairs.

Information Retrieval Machine Translation +2

CNN based music emotion classification

no code implementations19 Apr 2017 Xin Liu, Qingcai Chen, Xiang-Ping Wu, Yan Liu, Yang Liu

Music emotion recognition (MER) is usually regarded as a multi-label tagging task, and each segment of music can inspire specific emotion tags.

Classification Emotion Classification +3

Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRF

1 code implementation COLING 2016 Yang Xiang, Xiaoqiang Zhou, Qingcai Chen, Zhihui Zheng, Buzhou Tang, Xiaolong Wang, Yang Qin

In community question answering (cQA), the quality of answers are determined by the matching degree between question-answer pairs and the correlation among the answers.

Community Question Answering

Stroke Sequence-Dependent Deep Convolutional Neural Network for Online Handwritten Chinese Character Recognition

no code implementations13 Oct 2016 Baotian Hu, Xin Liu, Xiang-Ping Wu, Qingcai Chen

In this paper, we propose a novel model, named Stroke Sequence-dependent Deep Convolutional Neural Network (SSDCNN), using the stroke sequence information and eight-directional features for Online Handwritten Chinese Character Recognition (OLHCCR).

Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering

no code implementations IJCNLP 2015 Xiaoqiang Zhou, Baotian Hu, Qingcai Chen, Buzhou Tang, Xiaolong Wang

In this paper, the answer selection problem in community question answering (CQA) is regarded as an answer sequence labeling task, and a novel approach is proposed based on the recurrent architecture for this problem.

Answer Selection Community Question Answering

LCSTS: A Large Scale Chinese Short Text Summarization Dataset

3 code implementations EMNLP 2015 Baotian Hu, Qingcai Chen, Fangze Zhu

Automatic text summarization is widely regarded as the highly difficult problem, partially because of the lack of large text summarization data set.

Text Summarization

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