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An exploration of ranking models and feedback method for related entity finding
2013
Information Processing & Management
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Specifically, we propose a mixture model based feedback method that can utilize the pseudo feedback entities to estimate an enriched model for the relation between the input and related entities. ...
Our goal is to rank entities based on their relevance to a structured query, which specifies an input entity, the type of related entities and the relation between the input and related entities. ...
In particular, we propose a novel mixture model based method that can utilize the pseudo feedback entities to estimate an enriched model for relation between the input and related entities. ...
doi:10.1016/j.ipm.2013.03.004
fatcat:75wuqqhjkraerl7k2uwx3fs2rq
Exploiting entity relationship for query expansion in enterprise search
2014
Information retrieval (Boston)
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state-of-the-art pseudo feedback methods for long natural language-like queries with entities. ...
We then discuss how to adapt existing feedback methods to use the related entities and their relations to improve search quality. ...
We thank reviewers for their useful comments. ...
doi:10.1007/s10791-013-9237-0
fatcat:bzpv27mqnjeqrnniwr7nrt3yuy
Entity Centric Information Retrieval
2016
SIGIR Forum
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In particular, we propose a novel mixture model based method that can utilize the pseudo feedback entities to estimate an enriched model for relation between the input and related entities. ...
We find that the performance of entity identification is satisfying, and the proposed entity ranking methods are effective to find related entities for a given query. ...
doi:10.1145/2964797.2964815
fatcat:qdmhwfminnaefonienqyggckbm
The University of Amsterdam at TREC 2010: Session, Entity and Relevance Feedback
2010
Text Retrieval Conference
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In the Entity Track REF task we experiment with a window size parameter to limit the amount of context considered by the entity co-occurrence models and explore the use of Freebase for type filtering, ...
In the ELC task we use an approach that uses the number of links shared between candidate and example entities to rank candidates. ...
We also explore the use of Freebase for type filtering, homepage finding and entity normalization. ...
dblp:conf/trec/BronHHMRTW10
fatcat:eoboo3yfgbdkhjtfhwtqqpinwy
Entity centric query expansion for enterprise search
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
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We then discuss how to adapt existing feedback methods to use the related entities to improve search quality. ...
Enterprise search is important, and the search quality has a direct impact on the productivity of an enterprise. Many information needs of enterprise search center around entities. ...
We thank the anonymous CIKM reviewers for their useful comments. ...
doi:10.1145/2396761.2398551
dblp:conf/cikm/LiuFCW12
fatcat:khjwzg7jebdllfna4vf5tduhzq
ICTNET at TREC 2019 News Track
2019
Text Retrieval Conference
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We explore four methods in background linking task and two methods in entity ranking task. ...
All of our methods largely rely on off-the-shell open-source components(e.g., Solr for indexing the documents), and follow the basic thoughts-BM25 and relevance feedback. ...
This is mainly because our method use rank to distinguish whether the entity and the topic are strongly or weakly related. An entity will always have its final rank whether it is related or not. ...
dblp:conf/trec/DingLZLDH19
fatcat:xi3bof6ovnap5pceu574w77wfa
Integrating Information About Entities Progressively
[article]
2019
arXiv
pre-print
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Such methods cannot scale to the rapidly increasing number and variety of available data sources. ...
The data sources leverage user feedback to improve the accuracy of their collaboration and results. ...
Baseline is the result of the local data source sending every keyword for a given intent and the external returning entities according to BM25 ranking, a popular ranking method for keyword queries. ...
arXiv:1910.10263v1
fatcat:cqgnref2hrbdzfhdmrknxis2xm
Effective focused retrieval by exploiting query context and document structure
2012
SIGIR Forum
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The main task in this track is an related entity finding task: given an input entity (name and document id) and a narrative, find the related relevant entities. ...
These different topic sets allow us to explore the relations between ad hoc retrieval and entity ranking.
Entity Ranking vs. ...
Samenvatting Het klassieke model van het zoekproces bestaat uit drie elementen: zoekvraag, documenten en zoekresultaten. ...
doi:10.1145/2093346.2093366
fatcat:f6n2nplok5f7pd3ijcrghrkg2y
Query modeling for entity search based on terms, categories, and examples
2011
ACM Transactions on Information Systems
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We propose a general probabilistic framework for entity search to evaluate and provide insights in the many ways of using these types of input for query modeling. ...
Query modeling for entity search based on terms, categories, and examples. ...
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
CODEC: Complex Document and Entity Collection
[article]
2022
arXiv
pre-print
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Overall, CODEC provides challenging research topics to support the development and evaluation of entity-centric search methods. ...
The results show the topics are challenging with headroom for document and entity ranking improvement. ...
Additionally, we'd like to acknowledge Federico Rossetto for his support and help with visualisation. ...
arXiv:2205.04546v2
fatcat:jqt5iaxwnnd4lbkv2aotvpd4py
CODEC: Complex Document and Entity Collection
2022
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Overall, CODEC provides challenging research topics to support the development and evaluation of entity-centric search methods. ...
The results show the topics are challenging with headroom for document and entity ranking improvement. ...
Additionally, we'd like to acknowledge Federico Rossetto for his support and help with visualisation. ...
doi:10.1145/3477495.3531712
fatcat:eb7beokm4vc3ncydc6uhfi36da
Category-Based Query Modeling for Entity Search
[chapter]
2010
Lecture Notes in Computer Science
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We propose a general probabilistic framework for entity search to evaluate and provide insight in the many ways of using these types of input for query modeling. ...
Our best performing model shows very competitive performance on the INEX-XER entity ranking and list completion tasks. ...
[10] addressed an early version of the entity ranking and list completion tasks and explored different representations of list descriptions and example entities. ...
doi:10.1007/978-3-642-12275-0_29
fatcat:kg4paa2hzbblfgof7hdi5skxwa
ReFER: Effective Relevance Feedback for Entity Ranking
[chapter]
2011
Lecture Notes in Computer Science
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This paper presents an entity ranking relevance feedback model, based on example entities specified by the user or on pseudo feedback. ...
In such an environment an important sub-problem is matching a user's unstructured free-text query to a set of relevant entities. For example, a user might request 'Olympic host cities'. ...
We conclude that the proposed approach can be easily applied to any ER system in order to improve search effectiveness, and that the model performs well on the test collection we used. ...
doi:10.1007/978-3-642-20161-5_26
fatcat:zy3gshhtx5hkzif4y4ivbeivni
SLQ
2014
Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14
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Better still, the architecture of SLQ is elastic for new transformation functions, query logs and user feedback, to iteractively refine ranking model and searching. ...
in a data graph, based on an automatically learned ranking model. ...
Moreover, most of these methods adopt predefined ranking model [5, 8] , which is barely able to bridge the gap between the queries and the true matches. (3) Moreover, it is a daunting task for users to ...
doi:10.1145/2588555.2594516
dblp:conf/sigmod/YangXWWSWY14
fatcat:c6c34jjkpncovpp6ad376ql27u
A Generative Language Modeling Approach for Ranking Entities
[chapter]
2009
Lecture Notes in Computer Science
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Our framework comprises the following components: (i) entity and (ii) query language models, (iii) entity prior, (iv) the probability of an entity for a given category, and (v) the probability of an entity ...
We describe our participation in the INEX 2008 Entity Ranking track. We develop a generative language modeling approach for the entity ranking and list completion tasks. ...
Introduction The Enitity Ranking track of this year's INEX features three tasks: entity ranking, list completion, and entity relation search [3] . ...
doi:10.1007/978-3-642-03761-0_30
fatcat:yqi5ixmdsncmfluwbx5sk5uhfq
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