Comparative Search of Entities
نویسندگان
چکیده
منابع مشابه
On Suggesting Entities as Web Search Queries
The Web of Data is growing in popularity and dimension, and named entity exploitation is gaining importance in many research fields. In this paper, we explore the use of entities that can be extracted from a query log to enhance query recommendation. In particular, we extend a state-of-the-art recommendation algorithm to take into account the semantic information associated with submitted queri...
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Searching with entities and relationships (e.g. “vertical search” for products, locations, persons, specific services, or scholarly relationships) is becoming one of the main goals within the Web search community. We believe that this goal can be approached by exploiting and combining existing information extraction tools on top of the right framework. We present a simple but powerful framework...
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Searching for entities is an emerging task in Information Retrieval for which the goal is finding well defined entities instead of documents matching the query terms. In this paper we propose a novel approach to Entity Retrieval by using Web search engine query logs. We use Markov random walks on (1) Click Graphs – built from clickthrough data – and on (2) Session Graphs – built from user sessi...
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This paper addresses the problem of related entity extraction and focuses on extracting related persons as a case study. The proposed method builds on a search engine. Specifically, we mine candidate related persons for a query person q using q’s search results and the query logs containing q. The acquired candidates are then automatically rated and ranked using a SVM regression model that inve...
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The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search results (returned in response to a person name query) according to the individual they mention. In this paper we compare the coverage, reliability and independence of a number of features that are potential information ...
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ژورنال
عنوان ژورنال: International Journal of Software Engineering and Knowledge Engineering
سال: 2017
ISSN: 0218-1940,1793-6403
DOI: 10.1142/s0218194017500498