Extraction of Family Relations between Entities
نویسندگان
چکیده
Nowadays, there is a growing need to automatically extract information from texts. In this active research field much effort has been invested to improve the identification and classification of named entities, the detection of time expressions, and the identification of semantic relations between text entities. This paper presents a system that identifies and classifies family relations. The directives, the options used, the implementation and the results obtained are here presented. Resumo. Existe uma necessidade crescente em extrair informação a partir de um texto, nomeadamente na identificação e classificação de entidades mencionadas e na identificação de relações semânticas entre essas entidades. Este artigo apresenta um sistema que identifica relações familiares. Descrevem-se as directivas de identificação e anotação, as opções adoptadas, a implementação do sistema e os resultados obtidos.
منابع مشابه
Confidence Estimation Methods for Partially Supervised Relation Extraction
Text documents convey valuable information about entities and relations between entities that can be exploited in structured form for data mining, retrieval, and integration. A promising direction is a family of partially-supervised relation extraction systems that require little manual training. However, the output of such systems tend to be noisy, and hence it is crucial to be able to estimat...
متن کاملA New Method for Improving Computational Cost of Open Information Extraction Systems Using Log-Linear Model
Information extraction (IE) is a process of automatically providing a structured representation from an unstructured or semi-structured text. It is a long-standing challenge in natural language processing (NLP) which has been intensified by the increased volume of information and heterogeneity, and non-structured form of it. One of the core information extraction tasks is relation extraction wh...
متن کاملLiterature Survey on Relation Extraction and Relational Learning
Semantic relation extraction between entities plays key role in many applications in natural language processing and understanding, information retrieval, text summarizing, etc. These application require an understanding of the semantic relations between entities. We present a comprehensive review of various aspects of the entity relation extraction task. We also present a review of relation ex...
متن کاملExtracting Relations Within and Across Sentences
Previous work on relation extraction has focussed on identifying relationships between entities that occur in the same sentence (intra-sentential relations) rather than between entities in different sentences (inter-sentential relations) despite previous research having shown that intersentential relations commonly occur in information extraction corpora. This paper describes a SVM-based approa...
متن کاملA Multi-resolution Framework for Information Extraction from Free Text
Extraction of relations between entities is an important part of Information Extraction on free text. Previous methods are mostly based on statistical correlation and dependency relations between entities. This paper re-examines the problem at the multiresolution layers of phrase, clause and sentence using dependency and discourse relations. Our multi-resolution framework ARE (Anchor and Relati...
متن کاملذخیره 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 2010