A Muti-Resolution Approach to Restaurant Named Entity Recognition in Korean Web
نویسندگان
چکیده
منابع مشابه
A Novel Approach to Conditional Random Field-based Named Entity Recognition using Persian Specific Features
Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a text. Machine-learning-based methods have good performance in the Persian language if they are trained with good features. To get good performanc...
متن کاملNamed Entity Recognition in Persian Text using Deep Learning
Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...
متن کاملA Neural Named Entity Recognition Approach to Biological Entity Identification
We approach the BioCreative VI Track 1 task of biological entity identification by focusing on named entity recognition (NER) and linking tagged entities to standard database identifiers. For this task, we apply recent neural NER techniques of combining bi-directional long short term memory (BLSTM) network layers with conditional random fields (CRFs) to the biomedical domain. We then use contex...
متن کاملThe ConceptMapper Approach to Named Entity Recognition
ConceptMapper is an open source tool we created for classifying mentions in an unstructured text document based on concept terminologies and yielding named entities as output. It is implemented as a UIMA1 (Unstructured Information Management Architecture (IBM, 2004)) annotator, and concepts come from standardised or proprietary terminologies. ConceptMapper can be easily configured, for instance...
متن کاملNamed Entity Recognition in Greek Web Pages
We describe the functionalities of the Hellenic Named Entity Recognition and Classification (HNERC) system developed in the context of the CROSSMARC project. CROSSMARC is developing technology for e-retail product comparison. The CROSSMARC system locates relevant retailers’ web pages and processes them in order to extract information about their products (e.g. technical features, prices). CROSS...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Fuzzy Logic and Intelligent Systems
سال: 2012
ISSN: 1598-2645
DOI: 10.5391/ijfis.2012.12.4.277