Exploring the inference role in automatic information extraction from texts
نویسندگان
چکیده
In this paper we present a novel methodology for automatic information extraction from natural language texts, based on the integration of linguistic rules, multiple ontologies and inference resources, integrated with an abstraction layer for linguistic annotation and data representation. The SAURON system was developed to implement and integrate the methodology phases. The knowledge domain of legal realm has been used for the case study scenario through a corpus collected from the State Superior Court website in Brazil. The main contribution presented is related to the exploration of the flexibility of linguistic rules and domain knowledge representation, through their manipulation and integration by a reasoning system. Therefore, it is possible to the system to continuously interact with linguistic and domain experts in order to improve the set of linguistic rules or the ontology components. The results from the case study indicate that the proposed approach is effective for the legal domain.
منابع مشابه
Presenting a method for extracting structured domain-dependent information from Farsi Web pages
Extracting structured information about entities from web texts is an important task in web mining, natural language processing, and information extraction. Information extraction is useful in many applications including search engines, question-answering systems, recommender systems, machine translation, etc. An information extraction system aims to identify the entities from the text and extr...
متن کاملAutomatic keyword extraction using Latent Dirichlet Allocation topic modeling: Similarity with golden standard and users' evaluation
Purpose: This study investigates the automatic keyword extraction from the table of contents of Persian e-books in the field of science using LDA topic modeling, evaluating their similarity with golden standard, and users' viewpoints of the model keywords. Methodology: This is a mixed text-mining research in which LDA topic modeling is used to extract keywords from the table of contents of sci...
متن کاملBiogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization
Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...
متن کاملAutomatic Lane Extraction in Hemoglobin and Serum Protein Electrophoresis Using Image Processing
Image analysis is an image processing technique that aims to extract features or information from images. Image analysis in medicine has a special place because is a basis for disease diagnosis for physicians. Electrophoresis is a laboratory separating technique. Electrophoresis images are created during the electrophoresis process. Serum protein and hemoglobin electrophoresis test are the ...
متن کاملAutomatic Lane Extraction in Hemoglobin and Serum Protein Electrophoresis Using Image Processing
Image analysis is an image processing technique that aims to extract features or information from images. Image analysis in medicine has a special place because is a basis for disease diagnosis for physicians. Electrophoresis is a laboratory separating technique. Electrophoresis images are created during the electrophoresis process. Serum protein and hemoglobin electrophoresis test are the ...
متن کامل