Chinese Entity Relation Extraction Based on Word Cooccurrence
نویسندگان
چکیده
منابع مشابه
Chinese Entity Relation Extraction Based on Word Co-occurrence
Chinese entity relation extraction is a part of entity relation extraction. According to entity relation extraction technology and the features of Chinese news corpus, this paper proposes a novel method for Chinese entities relation extraction. The method, named WCORE (word co-occurrence relation extraction), first measures the semantic similarity by word co-occurrence and then adopts pattern m...
متن کاملA Novel Feature-based Approach to Chinese Entity Relation Extraction
Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach that explicitly defines and explores nine positional structures between two entities. We also suggest some correction and inference mechanisms based on relation hierarchy and co-reference information etc. The approach ...
متن کاملEntity Network Extraction Based on Association Finding and Relation Extraction
One of the core aims of semantic search is to directly present users with information instead of lists of documents. Various entity-oriented tasks have been or are being considered, including entity search and related entity finding. In the context of digital libraries for computational humanities, we consider another task, network extraction: given an input entity and a document collection, ex...
متن کاملWord Extraction Based on Semantic Constraints in Chinese Word-Formation
This paper presents a novel approach to Chinese word extraction based on semantic information of characters. A thesaurus of Chinese characters is conducted. A Chinese lexicon with 63,738 two-character words, together with the thesaurus of characters, are explored to learn semantic constraints between characters in Chinese word-formation, forming a semantic-tag-based HMM. The Baum-Welch re-estim...
متن کاملA Hybrid Method for Chinese Entity Relation Extraction
Entity relation extraction is an important task for information extraction, which refers to extracting the relation between two entities from input text. Previous researches usually converted this problem to a sequence labeling problem and used statistical models such as conditional random field model to solve it. This kind of method needs a large, high-quality training dataset. So it has two m...
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: Energy Procedia
سال: 2011
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2011.12.554