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An exploration of ranking models and feedback method for related entity finding

Xitong Liu, Wei Zheng, Hui Fang
2013 Information Processing & Management  
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

Xitong Liu, Fei Chen, Hui Fang, Min Wang
2014 Information retrieval (Boston)  
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

Xitong Liu
2016 SIGIR Forum  
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

Marc Bron, Jiyin He, Katja Hofmann, Edgar Meij, Maarten de Rijke, Manos Tsagkias, Wouter Weerkamp
2010 Text Retrieval Conference  
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

Xitong Liu, Hui Fang, Fei Chen, Min Wang
2012 Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12  
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

Yuyang Ding, Xiaoying Lian, Houquan Zhou, Zhaoge Liu, Hanxing Ding, Zhongni Hou
2019 Text Retrieval Conference  
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]

Ben McCamish, Christopher Buss, Arash Termehchy, David Maier
2019 arXiv   pre-print
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

Rianne Kaptein
2012 SIGIR Forum  
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

Krisztian Balog, Marc Bron, Maarten De Rijke
2011 ACM Transactions on Information Systems  
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]

Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton
2022 arXiv   pre-print
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

Iain Mackie, Paul Owoicho, Carlos Gemmell, Sophie Fischer, Sean MacAvaney, Jeffrey Dalton
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
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]

Krisztian Balog, Marc Bron, Maarten de Rijke
2010 Lecture Notes in Computer Science  
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]

Tereza Iofciu, Gianluca Demartini, Nick Craswell, Arjen P. de Vries
2011 Lecture Notes in Computer Science  
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

Shengqi Yang, Yanan Xie, Yinghui Wu, Tianyu Wu, Huan Sun, Jian Wu, Xifeng Yan
2014 Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14  
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]

Wouter Weerkamp, Krisztian Balog, Edgar Meij
2009 Lecture Notes in Computer Science  
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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