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Combining Term-Based and Category-Based Representations for Entity Search
[chapter]
2010
Lecture Notes in Computer Science
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We employ a probabilistic retrieval model for entity search in which term-based and category-based representations of queries and entities are effectively integrated. ...
), and Q for the textual part of the query. ...
model for entity search, in which term-based and category-based representations of queries and entities are effectively integrated. ...
doi:10.1007/978-3-642-14556-8_27
fatcat:ndo7m4cxevdnrhnapslma3fv5u
A Compositional-Distributional Semantic Model for Searching Complex Entity Categories
2016
Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics
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When searching for entities, categories frequently describes the search query. ...
Users combine attributes and types to describe and classify entities into categories. These categories are fundamental for organising knowledge in a decentralised way acting as tags and predicates. ...
Oliveira (Florida Institute of Technology) and the anonymous reviewers for the valuable critical comments. ...
doi:10.18653/v1/s16-2025
dblp:conf/starsem/SalesFDH16
fatcat:ptkppupbbjgjjmtf52ro76f6rm
Category-Based Query Modeling for Entity Search
[chapter]
2010
Lecture Notes in Computer Science
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We focus on the use of category information and show the advantage of a category-based representation over a term-based representation, and also demonstrate the effectiveness of category-based expansion ...
Users often search for entities instead of documents and in this setting are willing to provide extra input, in addition to a query, such as category information and example entities. ...
Our main contribution is the introduction of a probabilistic retrieval model for entity search, in which we are able to effectively integrate term-based and category-based representations of queries and ...
doi:10.1007/978-3-642-12275-0_29
fatcat:kg4paa2hzbblfgof7hdi5skxwa
Entity Type Recognition Using an Ensemble of Distributional Semantic Models to Enhance Query Understanding
2016
2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)
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2016 pre-print arXiv:1604.00933v1 fatcat:og6255pds5exnjlak2b4mxg6vm
We present an ensemble approach for categorizing search query entities in the recruitment domain. ...
Understanding the types of entities expressed in a search query (Company, Skill, Job Title, etc.) enables more intelligent information retrieval based upon those entities compared to a traditional keyword-based ...
This observation motivated us to combine features for search entities from both contextual and synonymy vectors in a combined vector space.
E. ...
doi:10.1109/compsac.2016.109
dblp:conf/compsac/ShalabyAKG16
fatcat:26qwomj5yrhf5fvkk5gs62v4ge
Example Based Entity Search in the Web of Data
[chapter]
2013
Lecture Notes in Computer Science
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We propose an alternative structure-based approach that makes use of example entities and compare its effectiveness with a text-based approach in the context of an entity list completion task. ...
We find that both the text and structure-based approaches are effective in retrieving relevant entities, but that they find different sets of entities. ...
To obtain a ranking for different entity representations, we estimate P (t|θ cs e ) for each category subset (cs), where θ cs e is a multinomial distribution estimated over the terms occurring in the triples ...
doi:10.1007/978-3-642-36973-5_33
fatcat:lckukhwlg5g5fikqseso4pdz34
Content-based Text Categorization using Wikitology
[article]
2012
arXiv
pre-print
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Topic maps are rapidly becoming an industrial standard for knowledge representation with a focus for later search and extraction. ...
Traditionally, vector-based models have been used for computing the document similarity. The vector-based models represent several features present in documents. ...
Acknowledgments We would like to acknowledge the anonyms reviewers for their valuable comments on the submitted paper. ...
arXiv:1208.3623v1
fatcat:ol22a5el5vdivlintokuagiun4
On Type-Aware Entity Retrieval
2017
Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval - ICTIR '17
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2017 pre-print arXiv:1708.08291v1 fatcat:ho2ahy3rhvhf7hxqfodzxec5l4
We perform a thorough analysis of three main aspects: (i) the choice of type taxonomy, (ii) the representation of hierarchical type information, and (iii) the combination of type-based and term-based similarity ...
Today, the practice of returning entities from a knowledge base in response to search queries has become widespread. ...
RQ2 How to represent hierarchical entity type information for entity retrieval? RQ3 How to combine term-based and type-based information? ...
doi:10.1145/3121050.3121054
dblp:conf/ictir/GarigliottiB17
fatcat:m64pieqqrrfpjiqydwroic4w7a
Query modeling for entity search based on terms, categories, and examples
2011
ACM Transactions on Information Systems
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Query modeling for entity search based on terms, categories, and examples. ...
We focus on the use of category information and show the advantage of a category-based representation over a term-based representation, and also demonstrate the effectiveness of category-based expansion ...
ACKNOWLEDGMENTS We are extremely grateful to our anonymous reviewers; their comments and feedback really helped to improve the paper. ...
doi:10.1145/2037661.2037667
fatcat:gotilqrajfdrtl2wykg72agiia
Context-Sensitive Ranking Using Cross-Domain Knowledge for Chemical Digital Libraries
[chapter]
2013
Lecture Notes in Computer Science
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We show that structure-based similarity measures are not suitable for chemical context searches and introduce a similarity measure combining entity-and context similarity. ...
We compare against two baseline approaches: a Boolean retrieval model and a model using statistical query expansion for the context term. ...
The problem for such entity-based searches is usually twofold: one central complex is markup and disambiguation (which also included detecting synonyms), the other complex deals with similarity-based searches ...
doi:10.1007/978-3-642-40501-3_29
fatcat:d7ivrnuhxnfxbcdkbtpewq2xvi
Towards expressive exploratory search over entity-relationship data
2012
Proceedings of the 21st international conference companion on World Wide Web - WWW '12 Companion
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In this paper we describe a novel approach for exploratory search over rich entity-relationship data that utilizes a unique combination of expressive, yet intuitive, query language, faceted search, and ...
We describe an extended faceted search solution which allows to index, search, and browse rich entity-relationship data. ...
, and these term queries are combined into a Boolean OR query. ...
doi:10.1145/2187980.2187990
dblp:conf/www/YogevRCZ12
fatcat:eb7a7nsth5g2rg5vl7hgw3hgla
Ad Hoc Table Retrieval using Semantic Similarity
2018
Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18
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2018 pre-print arXiv:1802.06159v2 fatcat:2pqtgmbtivaztm3p6z7gx6bcwuOther Versions
We consider all possible combinations of semantic representations and similarity measures and use these as features in a supervised learning model. ...
Specifically, we (i) represent queries and tables in multiple semantic spaces (both discrete sparse and continuous dense vector representations) and (ii) introduce various similarity measures for matching ...
For example, entity-based representations have been used for document retrieval [36, 44] and category-based representations have been used for entity retrieval [3] . ...
doi:10.1145/3178876.3186067
dblp:conf/www/ZhangB18
fatcat:kioetyupufd3xmb2gq6iqaf3wm
Parameterized Fielded Term Dependence Models for Ad-hoc Entity Retrieval from Knowledge Graph
2016
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16
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Accurate projection of terms in free-text queries onto structured entity representations is one of the fundamental problems in entity retrieval from knowledge graph. ...
graphs, which infer the user's intent behind each individual query concept by dynamically estimating its projection onto the fields of structured entity representations based on a small number of statistical ...
Foundation for Basic Research (grants # 15-07-08522, 15-47-02472). ...
doi:10.1145/2911451.2911545
dblp:conf/sigir/NikolaevKZ16
fatcat:ox3h7en3tnc7znxo5ryrqpz75e
Semistructured Data Search
[chapter]
2014
Lecture Notes in Computer Science
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We start with a general retrieval framework, based on generative probabilistic modeling, for ranking unstructured document representations. ...
This paper presents a selection of methods for searching in heterogeneous data collections where some amount of structure is available. ...
Category-Based Modeling Next, we consider scenarios where the move beyond term-based representations, both for documents and for queries. ...
doi:10.1007/978-3-642-54798-0_4
fatcat:nzocbjuinnbqvdcgoklvt55dnu
Semantically Enriched Models for Entity Ranking
[chapter]
2018
Advanced Topics in Information Retrieval
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On the other hand, these term-based models have little awareness of what it takes to be an entity. ...
This requires a departure from purely term-based approaches toward more semantically informed representations. ...
There are several possibilities to combine term-based and entity-based representations during matching. Hasibi et al. ...
doi:10.1007/978-3-319-93935-3_4
fatcat:xsri53xoxzc5rmgk4fp6kqj7ti
Towards Personalized Medication
[chapter]
2021
Studies in Health Technology and Informatics
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Available search engine resources do not offer specific functionalities that are required for efficient and relevant search in reliable literature sources. ...
The paper describes some aspects of precision medicine and shows the importance of pharmacokinetics and pharmacodynamics for the therapeutic drug monitoring and model-informed precision dosing. ...
FV40426 "Supplementary Platform for Physiologically Based Pharmacokinetic Modeling (PBPK)" funded by the TRIO program of the Ministry of Industry and Trade of the Czech Republic. ...
doi:10.3233/shti210572
pmid:34734851
fatcat:kzukdfahirbm7dmiwo6qybyobi
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