A Distant Learning Approach for Extracting Hypernym Relations from Wikipedia Disambiguation Pages
نویسندگان
چکیده
منابع مشابه
Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches
Extracting hypernym relations from text is one of the key steps in the construction and enrichment of semantic resources. Several methods have been exploited in a variety of propositions in the literature. However, the strengths of each approach on a same corpus are still poorly identified in order to better take advantage of their complementarity. In this paper, we study how complementary two ...
متن کاملSupervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases
In this paper we address the problem of automatically constructing structured knowledge from plain texts. In particular, we present a supervised learning technique to first identify definitions in text data, while then finding hypernym relations within them making use of extracted syntactic structures. Instead of using pattern matching methods that rely on lexico-syntactic patterns, we propose ...
متن کاملPresenting 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 کاملEntity Disambiguation using Link based Relations extracted from Wikipedia
We present an approach for the disambiguation of textual mentions of ambiguous names: disambiguation means here the identification of the true entity denoted by a name phrase appearing in a query context through its assignment to the corresponding Wikipedia article. If this article does not exist, we assign this query to a default entity. Ambiguity of names is a major problem in information ret...
متن کاملAn Empirical Research on Extracting Relations from Wikipedia Text
A feature based relation classification approach is presented, in which probabilistic and semantic relatedness features between patterns and relation types are employed with other linguistic information. The importance of each feature set is evaluated with Chi-square estimator, and the experiments show that, the relatedness features have big impact on the relation classification performance. A ...
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: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.08.208