Empirical Textual Mining to Protein Entities Recognition from PubMed Corpus

نویسندگان

  • Tyne Liang
  • Ping-Ke Shih
چکیده

Wednesday, June 15th 8:00 Conference Registration (Registration desk) 8:45 Session 1: Large-Scale Online Linguistic Resources (I) Chair: "Text Categorization Based on Subtopic Clusters" Francis Chik, Robert Luk, Korris Chung "Automatic Filtering of Bilingual Corpora for Statistical Machine Translation" Shahram Khadivi, Hermann Ney "The Role of Word Sense Disambiguation in Automated Text Categorization" José María Gómez Hidalgo, Manuel de Buenaga Rodríguez, Jose Carlos Cortizo Pérez "Web Directory Construction using Lexical Chains" Sofia Stamou, Vlassis Krikos, Pavlos Kokosis, Alexandros Ntoulas, Dimitris Christodoulakis 10:30 Opening Talk 10:45 Coffee break 11:15 Invited Talk: Ruslan Mitkov (University of Wolverhampton)

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Named Entity Relation Mining using Wikipedia

Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications in Information Retrieval (IR), Summarization (SUM), Question Answering (QA) and Textual Entailment (TE). The work we present resulted from the attempt to solve practical issues we were confronted with while building sys...

متن کامل

Mining relations from the biomedical literature

Text mining deals with the automated annotation of texts and the extraction of facts from textual data for subsequent analysis. Such texts range from short articles and abstracts to large documents, for instance web pages and scientific articles, but also include textual descriptions in otherwise structured databases. This thesis focuses on two key problems in biomedical text mining: relationsh...

متن کامل

پیکره اعلام: یک پیکره استاندارد واحدهای اسمی برای زبان فارسی

Named entity recognition (NER) is a natural language processing (NLP) problem that is mainly used for text summarization, data mining, data retrieval, question and answering, machine translation, and document classification systems. A NER system is tasked with determining the border of each named entity, recognizing its type and classifying it into predefined categories. The categories of named...

متن کامل

Generation of Silver Standard Concept Annotations from Biomedical Texts with Special Relevance to Phenotypes

Electronic health records and scientific articles possess differing linguistic characteristics that may impact the performance of natural language processing tools developed for one or the other. In this paper, we investigate the performance of four extant concept recognition tools: the clinical Text Analysis and Knowledge Extraction System (cTAKES), the National Center for Biomedical Ontology ...

متن کامل

Anatomical entity mention recognition at literature scale

MOTIVATION Anatomical entities ranging from subcellular structures to organ systems are central to biomedical science, and mentions of these entities are essential to understanding the scientific literature. Despite extensive efforts to automatically analyze various aspects of biomedical text, there have been only few studies focusing on anatomical entities, and no dedicated methods for learnin...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005