Lexical Pattern- Based Approach for Extracting Name Aliases
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2013, Vol 3, Issue 5
Abstract
Searching for information about people in the web is one of the most common activities of many internet users. Around 30% of search engine queries include person names. Retrieving information about people from web search engines can become difficult when a person has nick names or name aliases. We will not be able to retrieve all the information about a cricket player, if we only use his real name. For example we can’t retrieve all the information regarding the cricketer sachin tendulkar by using his real name only. So we need his nick names too. Identification of entities on the web is difficult mainly for two fundamental reasons: The first one is that different entities can share the same name (i.e., lexical ambiguity) and the second one is that a single entity can be designated by multiple names (i.e., referential ambiguity). In this paper, we propose a lexical pattern-based approach to extract aliases of a given name using snippets returned by a web search engine. The lexical patterns are generated automatically using a set of real world nick names or name alias data. The proposed work does not assume any language specific preprocessing such as part of speech tagging or dependency parsing, etc., which can be both inaccurate and computationally costly in web scale data processing.
Authors and Affiliations
Mohammad Khasim
Keywords
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