SATTY : Word Sense Induction Application in Web Search Clustering
نویسندگان
چکیده
The aim of this paper is to perform Word Sense induction (WSI); which clusters web search results and produces a diversified list of search results. It describes the WSI system developed for Task 11 of SemEval 2013. This paper implements the idea of monotone submodular function optimization using greedy algorithm.
منابع مشابه
SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
In this paper we describe our Semeval-2013 task on Word Sense Induction and Disambiguation within an end-user application, namely Web search result clustering and diversification. Given a target query, induction and disambiguation systems are requested to cluster and diversify the search results returned by a search engine for that query. The task enables the end-to-end evaluation and compariso...
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Web search result clustering aims to facilitate information search on the Web. Rather than presenting the results of a query as a flat list, these are grouped on the basis of their similarity and subsequently shown to the user as a list of possibly labeled clusters. Each cluster is supposed to represent a different meaning of the input query, thus taking into account the language ambiguity issu...
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In [12] a novel approach to Web search result clustering based on Word Sense Induction, i.e. the automatic discovery of word senses from raw text was presented; key to the proposed approach is the idea of, first, automatically inducing senses for the target query and, second, clustering the search results based on their semantic similarity to the word senses induced. In [1] we proposed an innov...
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We present a novel method for clustering Web search results based on Word Sense Induction. First, we acquire the meanings of a query by means of a graph-based clustering algorithm that calculates the maximum spanning tree of the co-occurrence graph of the query. Then we cluster the search results based on their semantic similarity to the induced word senses. We show that our approach improves c...
متن کاملDuluth : Word Sense Induction Applied to Web Page Clustering
The Duluth systems that participated in task 11 of SemEval–2013 carried out word sense induction (WSI) in order to cluster Web search results. They relied on an approach that represented Web snippets using second–order co– occurrences. These systems were all implemented using SenseClusters, a freely available open source software package.
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تاریخ انتشار 2013