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-> 人工智能 -> 医学自然语言处理(NLP)相关论文汇总之 ACL 2022 -> 正文阅读 |
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[人工智能]医学自然语言处理(NLP)相关论文汇总之 ACL 2022 |
医学自然语言处理(NLP)相关论文汇总之 ACL 2022更多关于中文医疗自然语言处理的资源和论文汇总,请访问我的GitHub相关主页https://github.com/NiceSkyWang/Chinese_Medical_Natural_Language_Processing_Resources_and_Papers。最近重新整理一下仓库,把对应会议的论文的PDF汇总下载,有需要的可以直接从仓库下载。 ACL 2022本次整理共包含8篇主会长文,一篇主会短文,43篇bio workshop论文,5篇其他workshop论文,4篇finding论文。评测比赛CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark CBLUE:中国生物医学语言理解评估基准 论文链接:https://aclanthology.org/2022.acl-long.544/ 文本生成Discriminative Marginalized Probabilistic Neural Method for Multi-Document Summarization of Medical Literature 医学文献多文档摘要的判别边缘化概率神经方法 论文链接:https://aclanthology.org/2022.acl-long.15/ The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature 病人生不如死:探索生物医学文献多文献综述的现状 论文链接:https://aclanthology.org/2022.acl-long.350/ Position-based Prompting for Health Outcome Generation 基于位置的健康结果生成提示 论文地址:https://aclanthology.org/2022.bionlp-1.3/ Zero-Shot Aspect-Based Scientific Document Summarization using Self-Supervised Pre-training 使用自我监督预训练的基于零样本方面的科学文档摘要 论文链接:https://aclanthology.org/2022.bionlp-1.5/ Memory-aligned Knowledge Graph for Clinically Accurate Radiology Image Report Generation 用于生成临床准确放射影像报告的内存对齐知识图 论文链接:https://aclanthology.org/2022.bionlp-1.11/ 文本分类KenMeSH: Knowledge-enhanced End-to-end Biomedical Text Labelling KenMeSH:知识增强的端到端生物医学文本标签 论文链接:https://aclanthology.org/2022.acl-long.210/ ICDBigBird: A Contextual Embedding Model for ICD Code Classification ICDBigBird:用于 ICD 代码分类的上下文嵌入模型 论文链接:https://aclanthology.org/2022.bionlp-1.32/ Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding 从马到斑马:用于 ICD-9 编码的本体引导数据增强和合成 论文链接:https://aclanthology.org/2022.bionlp-1.39/ Model Distillation for Faithful Explanations of Medical Code Predictions 医学代码预测忠实解释的模型蒸馏 论文链接:https://aclanthology.org/2022.bionlp-1.41/ A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge 一种基于医学概念驱动注意力的新框架,用于通过外部知识进行可解释的医学代码预测 论文链接:https://aclanthology.org/2022.findings-acl.110/ Incremental Intent Detection for Medical Domain with Contrast Replay Networks 具有对比重放网络的医学领域的增量意图检测 论文链接:https://aclanthology.org/2022.findings-acl.280/ Code Synonyms Do Matter: Multiple Synonyms Matching Network for Automatic ICD Coding 代码同义词很重要:用于自动 ICD 编码的多个同义词匹配网络 论文链接:https://aclanthology.org/2022.acl-short.91/ Leveraging Task Transferability to Meta-learning for Clinical Section Classification with Limited Data 利用有限数据的临床部分分类的元学习任务可迁移性 论文链接:https://aclanthology.org/2022.acl-long.461/ 预训练模型Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models Rewire-then-Probe:探索预训练语言模型的生物医学知识的对比配方 论文链接:https://aclanthology.org/2022.acl-long.329/ BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model BioBART:生物医学生成语言模型的预训练和评估 论文链接:https://aclanthology.org/2022.bionlp-1.9/ Pretrained Biomedical Language Models for Clinical NLP in Spanish 用于西班牙语临床 NLP 的预训练生物医学语言模型 论文链接:https://aclanthology.org/2022.bionlp-1.19/ Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks 使用 Siamese 网络在 UMLS Metathesaurus 中大规模评估生物医学词嵌入以实现词汇对齐 论文链接:https://aclanthology.org/2022.insights-1.11/ 多模态ViLMedic: a framework for research at the intersection of vision and language in medical AI ViLMedic:医学人工智能中视觉和语言交叉研究的框架 论文链接:https://aclanthology.org/2022.acl-demo.3/ 数据集Dataset Debt in Biomedical Language Modeling 生物医学语言建模中的数据集债务 论文链接:https://aclanthology.org/2022.bigscience-1.10/ BanglaBioMed: A Biomedical Named-Entity Annotated Corpus for Bangla (Bengali) BanglaBioMed:Bangla(孟加拉语)的生物医学命名实体注释语料库 论文链接:https://aclanthology.org/2022.bionlp-1.31/ 对话Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation 将医学知识结合到基于 Transformer 的语言模型中以生成医学对话 论文地址:https://aclanthology.org/2022.bionlp-1.10/ Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues 用于心理治疗的对话机器人:使用特定领域对话的生成式变压器模型的研究 论文链接:https://aclanthology.org/2022.bionlp-1.27/ Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation XAvIer 医生:医患对话和 XAI 评估的可解释诊断 论文链接:https://aclanthology.org/2022.bionlp-1.33/ QAExplainable Assessment of Healthcare Articles with QA 使用 QA 对医疗保健文章进行可解释的评估 论文链接:https://aclanthology.org/2022.bionlp-1.1/ Data Augmentation for Biomedical Factoid Question Answering 生物医学事实问答的数据增强 论文链接:https://aclanthology.org/2022.bionlp-1.6/ Overview of the MedVidQA 2022 Shared Task on Medical Video Question-Answering MedVidQA 2022 医学视频问答共享任务概述 论文链接:https://aclanthology.org/2022.bionlp-1.25/ 信息抽取A sequence-to-sequence approach for document-level relation extraction 一种用于文档级关系提取的序列到序列方法 论文链接:https://aclanthology.org/2022.bionlp-1.2/ Slot Filling for Biomedical Information Extraction 用于生物医学信息提取的槽填充 论文链接:https://aclanthology.org/2022.bionlp-1.7/ Simple Semantic-based Data Augmentation for Named Entity Recognition in Biomedical Texts 用于生物医学文本中命名实体识别的简单基于语义的数据增强 论文链接:https://aclanthology.org/2022.bionlp-1.12/ Auxiliary Learning for Named Entity Recognition with Multiple Auxiliary Biomedical Training Data 具有多个辅助生物医学训练数据的命名实体识别辅助学习 论文链接:https://aclanthology.org/2022.bionlp-1.13/ Biomedical NER using Novel Schema and Distant Supervision 使用新模式和远程监督的生物医学 NER 论文链接:https://aclanthology.org/2022.bionlp-1.15/ Improving Supervised Drug-Protein Relation Extraction with Distantly Supervised Models 使用远程监督模型改进监督药物-蛋白质关系提取 论文链接:https://aclanthology.org/2022.bionlp-1.16/ Named Entity Recognition for Cancer Immunology Research Using Distant Supervision 使用远程监督的癌症免疫学研究的命名实体识别 论文链接:https://aclanthology.org/2022.bionlp-1.17/ Intra-Template Entity Compatibility based Slot-Filling for Clinical Trial Information Extraction 用于临床试验信息提取的基于模板内实体兼容性的插槽填充 论文链接:https://aclanthology.org/2022.bionlp-1.18/ Improving Romanian BioNER Using a Biologically Inspired System 使用仿生系统改进罗马尼亚 BioNER 论文链接:https://aclanthology.org/2022.bionlp-1.30/ DISTANT-CTO: A Zero Cost, Distantly Supervised Approach to Improve Low-Resource Entity Extraction Using Clinical Trials Literature DISTANT-CTO:使用临床试验文献改进低资源实体提取的零成本、远程监督方法 论文链接:https://aclanthology.org/2022.bionlp-1.34/ Extraction of Diagnostic Reasoning Relations for Clinical Knowledge Graphs 临床知识图诊断推理关系的提取 论文链接:https://aclanthology.org/2022.acl-srw.33/ MIMICause: Representation and automatic extraction of causal relation types from clinical notes MIMICause:从临床记录中表示和自动提取因果关系类型 论文链接:https://aclanthology.org/2022.findings-acl.63/ 事件抽取Low Resource Causal Event Detection from Biomedical Literature 来自生物医学文献的低资源因果事件检测 论文链接:https://aclanthology.org/2022.bionlp-1.24/ BEEDS: Large-Scale Biomedical Event Extraction using Distant Supervision and Question Answering BEEDS:使用远程监督和问答的大规模生物医学事件提取 论文链接:https://aclanthology.org/2022.bionlp-1.28/ Comparing Encoder-Only and Encoder-Decoder Transformers for Relation Extraction from Biomedical Texts: An Empirical Study on Ten Benchmark Datasets 比较仅编码器和编码器-解码器转换器从生物医学文本中提取关系:对十个基准数据集的实证研究 论文链接:https://aclanthology.org/2022.bionlp-1.37/ 其他How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia Detection 你怎么说它很重要:测量语言不流畅标签对自动痴呆症检测的影响 论文链接:https://aclanthology.org/2022.bionlp-1.4/ Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations 通过学习细粒度术语表示的自动生物医学术语聚类 论文链接:https://aclanthology.org/2022.bionlp-1.8/ SNP2Vec: Scalable Self-Supervised Pre-Training for Genome-Wide Association Study SNP2Vec:用于全基因组关联研究的可扩展自我监督预训练 论文链接:https://aclanthology.org/2022.bionlp-1.14/ Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts 用于代码混合临床文本的粗粒度去识别的 Few-Shot 跨语言迁移 论文链接:https://aclanthology.org/2022.bionlp-1.20/ VPAI_Lab at MedVidQA 2022: A Two-Stage Cross-modal Fusion Method for Medical Instructional Video Classification MedVidQA 2022 上的 VPAI_Lab:用于医学教学视频分类的两阶段跨模式融合方法 论文链接:https://aclanthology.org/2022.bionlp-1.21/ GenCompareSum: a hybrid unsupervised summarization method using salience GenCompareSum:一种使用显着性的混合无监督摘要方法 论文链接:https://aclanthology.org/2022.bionlp-1.22/ BioCite: A Deep Learning-based Citation Linkage Framework for Biomedical Research Articles BioCite:基于深度学习的生物医学研究文章引用链接框架 论文链接:https://aclanthology.org/2022.bionlp-1.23/ Inter-annotator agreement is not the ceiling of machine learning performance: Evidence from a comprehensive set of simulations 注释者间协议不是机器学习性能的天花板:来自一组全面模拟的证据 论文链接:https://aclanthology.org/2022.bionlp-1.26/ Data Augmentation for Rare Symptoms in Vaccine Side-Effect Detection 疫苗副作用检测中罕见症状的数据增强 论文链接:https://aclanthology.org/2022.bionlp-1.29/ EchoGen: Generating Conclusions from Echocardiogram Notes EchoGen:从超声心动图笔记中得出结论 论文链接:https://aclanthology.org/2022.bionlp-1.35/ Quantifying Clinical Outcome Measures in Patients with Epilepsy Using the Electronic Health Record 用电子健康记录量化癫痫患者的临床结果测量 论文链接:https://aclanthology.org/2022.bionlp-1.36/ Utility Preservation of Clinical Text After De-Identification 去识别后临床文本的实用保存 论文链接:https://aclanthology.org/2022.bionlp-1.38/ Towards Automatic Curation of Antibiotic Resistance Genes via Statement Extraction from Scientific Papers: A Benchmark Dataset and Models 通过从科学论文中提取语句来自动管理抗生素耐药性基因:基准数据集和模型 论文链接:https://aclanthology.org/2022.bionlp-1.40/ Towards Generalizable Methods for Automating Risk Score Calculation 迈向自动化风险评分计算的通用方法 论文链接:https://aclanthology.org/2022.bionlp-1.42/ DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem MedVidQA 2022 上的 DoSSIER:基于文本的医学视频答案定位问题方法 论文链接:https://aclanthology.org/2022.bionlp-1.43/ Investigating the Medical Coverage of a Translation System into Pictographs for Patients with an Intellectual Disability 调查翻译系统的医疗覆盖范围为智障患者的象形文字 论文链接:https://aclanthology.org/2022.slpat-1.6/ Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization 通过多文档摘要预测临床试验中的干预批准 论文链接:https://aclanthology.org/2022.acl-long.137/ Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires 利用临床问卷提高抑郁症检测的普遍性 论文链接:https://aclanthology.org/2022.acl-long.578/ RuCCoN: Clinical Concept Normalization in Russian RuCCoN:俄语临床概念标准化 |
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开发:
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