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Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types 基于期刊描述符和语义类型的MEDLINE作者姓名消歧
BioTxtM@COLING 2016 Pub Date : 2016-12-13 DOI: 10.5167/UZH-132256
D. Vishnyakova, Raul Rodriguez-Esteban, K. Ozol, Fabio Rinaldi
{"title":"Author Name Disambiguation in MEDLINE Based on Journal Descriptors and Semantic Types","authors":"D. Vishnyakova, Raul Rodriguez-Esteban, K. Ozol, Fabio Rinaldi","doi":"10.5167/UZH-132256","DOIUrl":"https://doi.org/10.5167/UZH-132256","url":null,"abstract":"Author name disambiguation (AND) in publication and citation resources is a well-known problem. Often, information about email address and other details in the affiliation is missing. In cases where such information is not available, identifying the authorship of publications becomes very challenging. Consequently, there have been attempts to resolve such cases by utilizing external resources as references. However, such external resources are heterogeneous and are not always reliable regarding the correctness of information. To solve the AND task, especially when information about an author is not complete we suggest the use of new features such as journal descriptors (JD) and semantic types (ST). The evaluation of different feature models shows that their inclusion has an impact equivalent to that of other important features such as email address. Using such features we show that our system outperforms the state of the art.","PeriodicalId":297051,"journal":{"name":"BioTxtM@COLING 2016","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133418538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Cancer Hallmark Text Classification Using Convolutional Neural Networks 使用卷积神经网络的癌症标志文本分类
BioTxtM@COLING 2016 Pub Date : 2016-12-01 DOI: 10.17863/CAM.12420
Simon Baker, A. Korhonen, Sampo Pyysalo
{"title":"Cancer Hallmark Text Classification Using Convolutional Neural Networks","authors":"Simon Baker, A. Korhonen, Sampo Pyysalo","doi":"10.17863/CAM.12420","DOIUrl":"https://doi.org/10.17863/CAM.12420","url":null,"abstract":"Methods based on deep learning approaches have recently achieved state-of-the-art performance in a range of machine learning tasks and are increasingly applied to natural language processing (NLP). Despite strong results in various established NLP tasks involving general domain texts, there is only limited work applying these models to biomedical NLP. In this paper, we consider a Convolutional Neural Network (CNN) approach to biomedical text classification. Evaluation using a recently introduced cancer domain dataset involving the categorization of documents according to the well-established hallmarks of cancer shows that a basic CNN model can achieve a level of performance competitive with a Support Vector Machine (SVM) trained using complex manually engineered features optimized to the task. We further show that simple modifications to the CNN hyperparameters, initialization, and training process allow the model to notably outperform the SVM, establishing a new state of the art result at this task. We make all of the resources and tools introduced in this study available under open licenses from https://cambridgeltl.github.io/cancer-hallmark-cnn/.","PeriodicalId":297051,"journal":{"name":"BioTxtM@COLING 2016","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124992480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 39
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