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Query Difficulty, Robustness, and Selective Application of Query Expansion [chapter]

Giambattista Amati, Claudio Carpineto, Giovanni Romano
2004 Lecture Notes in Computer Science  
A selective application of QE would thus be a natural answer to obtain a more robust retrieval system.  ...  There is increasing interest in improving the robustness of IR systems, i.e. their effectiveness on difficult queries.  ...  Terrier is a modular Information Retrieval framework that provides indexing and retrieval functionalities.  ... 
doi:10.1007/978-3-540-24752-4_10 fatcat:u4frubscizctxizgh7yz7vtnra

Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track

Giambattista Amati, Claudio Carpineto, Giovanni Romano
2003 Text Retrieval Conference  
In particular, we study the problem of the selective application of the query expansion.  ...  We define two information theory based functions, Info DFR and InfoQ, predicting respectively the AP (Average Precision) of queries and the AP increment of queries after the application of QE.  ...  Acknowledgments The experiments were conducted using the first version of the Terrier's Information Retrieval platform 3 initially developed by Gianni Amati during his PhD at Glasgow University.  ... 
dblp:conf/trec/AmatiCR03 fatcat:moqgf5z34rd5jdehgcldhwi7ju

Juru at TREC 2004: Experiments with Prediction of Query Difficulty

Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow, Einat Amitay
2004 Text Retrieval Conference  
These included modifying the search engine parameters, using selective query expansion, and switching between different topic parts.  ...  Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval.  ...  Summary Our experiments in the Robust Track of TREC centered on predicting query difficulty and using this prediction for improving information retrieval.  ... 
dblp:conf/trec/Yom-TovFCDA04 fatcat:y6ffzqmvbrdarpn4yiuybkm6jm

Predicting Query Difficulty in IR: Impact of Difficulty Definition

Josiane Mothe, Lea Laporte, Adrian-Gabriel Chifu
2019 2019 11th International Conference on Knowledge and Systems Engineering (KSE)  
[4 ], [6], [17], selective query expansion [8], [20], or matching parameter selection [7].  ...  The usefulness of QPP is not demonstrated while there are concrete applications of query difficulty prediction.  ...  We conclude that the best predictions are obtained with threshold-based strategies and a P@10 gap between difficulty classes and that the choice of the collection has the greatest impact on the predictions  ... 
doi:10.1109/kse.2019.8919433 dblp:conf/kse/MotheLC19 fatcat:gjr6svljqnd53bzalforgqrruq

Juru at TREC 2005: Query Prediction in the Terabyte and the Robust Tracks

Elad Yom-Tov, David Carmel, Adam Darlow, Dan Pelleg, Shai Errera-Yaakov, Shai Fine
2005 Text Retrieval Conference  
Our experiments focus this year on the ad-hock tasks of the Terabyte and the Robust tracks. In both tracks we experimented with the query prediction technology we developed recently.  ...  In the Robust track we trained a predictor over one collection (TREC-8) for predicting query difficulty over another collection (AQUAINT).  ...  Robust track results Table 3 shows the result of applying query expansion to the Robust topics of this year. The table shows that the Web expansion improves over simple retrieval.  ... 
dblp:conf/trec/Yom-TovCDPEF05 fatcat:2fupol7eazhxtmddoevezvagia

Predicting the Usefulness of Collection Enrichment for Enterprise Search [chapter]

Jie Peng, Ben He, Iadh Ounis
2009 Lecture Notes in Computer Science  
In this paper, we propose the use of query performance predictors to selectively apply CE on a per-query basis.  ...  Query Expansion (QE) often improves the retrieval performance of an Information Retrieval (IR) system.  ...  Conclusions We have proposed the use of query performance predictors to selectively apply CE on a per-query basis for document search within an enterprise.  ... 
doi:10.1007/978-3-642-04417-5_41 fatcat:zp55sx7rebeidkibi3z6ll7elq

Estimation and use of uncertainty in pseudo-relevance feedback

Kevyn Collins-Thompson, Jamie Callan
2007 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '07  
The result is a meta-feedback algorithm that is both more robust and more precise than the original strong baseline method.  ...  We find that resampling documents helps increase individual feedback model precision by removing noise terms, while sampling from the query improves robustness (worst-case performance) by emphasizing terms  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are the authors. and do not necessarily reflect those of the sponsors.  ... 
doi:10.1145/1277741.1277795 dblp:conf/sigir/Collins-ThompsonC07 fatcat:3grvnr7a3ze7rnzwszwnvpz33i

Query performance prediction for IR

David Carmel, Oren Kurland
2012 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '12  
Labs in Haifa 76 7612/07/2012 SIGIR 2012 Tutorial: Query Performance Prediction 76 SIGIR 2010, Geneva Selective query expansion/ query selection Others IBM Labs in Haifa 77 7712/07/2012  ...  Robustness-based methods evaluate how robust the results are to perturbations in the query, the result list, and the retrieval method.  ...  the training data, which over-represents the lower end of the performance values We discussed three frameworks for query-performance prediction Concluding Remarks Research on query difficulty estimation  ... 
doi:10.1145/2348283.2348540 dblp:conf/sigir/CarmelK12 fatcat:ppzmf3ihkzbrje4ny33h6elave

Predicting Query Performance via Classification [chapter]

Kevyn Collins-Thompson, Paul N. Bennett
2010 Lecture Notes in Computer Science  
In an empirical study we compare the performance of class-based statistics to their language-model counterparts for two performance-related tasks: predicting query difficulty and expansion risk.  ...  compact enough to precompute and store in the index.  ...  Acknowledgments We thank Sue Dumais for valuable discussions and feedback on this work.  ... 
doi:10.1007/978-3-642-12275-0_15 fatcat:fmupa3v3bng6hf47xftbmuvraa

Latent entity space: a novel retrieval approach for entity-bearing queries

Xitong Liu, Hui Fang
2015 Information retrieval (Boston)  
Since an entity is expected to capture the semantic content of documents and queries more accurately than a term, it would be interesting to study whether leveraging the information about entities can  ...  In this paper, we propose a novel retrieval approach, i.e., Latent Entity Space (LES), which models the relevance by leveraging entity profiles to represent semantic content of documents and queries.  ...  One of the dominant applications of LES is Web search, as a large portion of queries submitted to Web search engine bear entities [35] , and they would benefit from the effectiveness and robustness of  ... 
doi:10.1007/s10791-015-9267-x fatcat:tl2bmqxsprb7td3xfit7ffhzya

Learning to estimate query difficulty

Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow
2005 Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05  
Experiments on TREC data demonstrate the robustness and the effectiveness of our learning algorithms.  ...  We demonstrate the usefulness of quality estimation for several applications, among them improvement of retrieval, detecting queries for which no relevant content exists in the document collection, and  ...  Selective automatic query expansion Automatic query expansion (AQE) is a method for improving retrieval by adding terms to the query, based on frequently appearing terms in the top documents retrieved  ... 
doi:10.1145/1076034.1076121 dblp:conf/sigir/Yom-TovFCD05 fatcat:mnmy6zufyndujok5kl7sdxdomu

Relevance-based entity selection for ad hoc retrieval

Faezeh Ensan, Feras Al-Obeidat
2019 Information Processing & Management  
In addition, We compare our proposed entity selection with a state-of-the-art entity selection technique within the context of ad hoc retrieval using a basic query expansion method and illustrate that  ...  an unsupervised entity selection method based on the graphical model for query entity expansion and then for ad hoc retrieval. (3) We thoroughly evaluate our method and compare it with the state-of-the-art  ...  Results The results of ad hoc retrieval based on the selected entities of the two method are compared on both ClueWeb12B and Robust'04 and reported in Figs. 7 and 8.  ... 
doi:10.1016/j.ipm.2019.05.005 fatcat:6ygzbdb4ojci7i3bgrmgmgnuoq

JHU/APL at TREC 2004: Robust and Terabyte Tracks

Christine D. Piatko, James Mayfield, Paul McNamee, R. Scott Cost
2004 Text Retrieval Conference  
Robust Topic Difficulty Prediction Results We used an average span statistic of top documents as an estimate of topic difficulty.  ...  For example, for a query such as "Hubble Telescope Achievements," both query expansion and term weighting seemed to reduce the importance of the concept of "Achievements."  ... 
dblp:conf/trec/PiatkoMMC04 fatcat:po4qtcevmzgvddsbdnxzbg6s2q

An information-theoretic approach to automatic query expansion

Claudio Carpineto, Renato de Mori, Giovanni Romano, Brigitte Bigi
2001 ACM Transactions on Information Systems  
We also discuss the effect on retrieval effectiveness of the main parameters involved in automatic query expansion, such as data sparseness, query difficulty, number of selected documents, and number of  ...  Such scores are used to select and weight expansion terms within Rocchio's framework for query reweighting.  ...  ACKNOWLEDGMENTS This work has been carried out within the framework of an agreement between the Italian PT Administration and the Fondazione Ugo Bordoni.  ... 
doi:10.1145/366836.366860 fatcat:rfqu6k2ejjfhjloyxohh5whbq4

A Survey of Automatic Query Expansion in Information Retrieval

Claudio Carpineto, Giovanni Romano
2012 ACM Computing Surveys  
ranking, to feature selection, and finally to query reformulation.  ...  The following questions are addressed: Why is query expansion so important to improve search effectiveness? What are the main steps involved in the design and implementation of an AQE component?  ...  ACKNOWLEDGMENTS We are very grateful to three anonymous reviewers for their excellent comments and suggestions.  ... 
doi:10.1145/2071389.2071390 fatcat:zt4urayicrgb5hbogj5mo7p2hm
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