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Using Word Embeddings for Automatic Query Expansion [article]

Dwaipayan Roy, Debjyoti Paul, Mandar Mitra, Utpal Garain
2016 arXiv   pre-print
In this paper a framework for Automatic Query Expansion (AQE) is proposed using distributed neural language model word2vec.  ...  Using such a framework, we devise a query expansion technique, where related terms to a query are obtained by K-nearest neighbor approach.  ...  Preciously, we use the documents from TREC disk 4 and 5 with the query sets TREC 6, 7, 8 and Robust. For the web collection, we use WT10G collection.  ... 
arXiv:1606.07608v1 fatcat:tsdo74tqzjfh5fvwpzmhiqtdqq

Joining automatic query expansion based on thesaurus and word sense disambiguation using WordNet

Francisco Joao Pinto, Antonio Farina Martinez, Carme Fernandez Perez Sanjulian
2008 International journal of computer applications in technology  
Using a methodology based on simulation under a vector space model, we show that the use of automatic query expansion and disambiguation of the sense of the words permits to improve retrieval effectiveness  ...  As shown in our experiments, query expansion is not able by itself to improve retrieval.  ...  Figure 1 1 Interface used to choose query expansion parameters (see online version for colours) Figure 2 2 Recall-precision for the expanded queries without WSD Figure 3 3 Recall-precision for the  ... 
doi:10.1504/ijcat.2008.022422 fatcat:gtqsumx6wfezhlaajnztfwejtu

Overview of the Second Text Retrieval Conference (TREC-2)

Donna Harman
1995 Information Processing & Management  
Figure 3 shows the recall/precision curves for the six TREC-2 groups with the highest non-interpolated average precision using automatic construction of the routing queries.  ...  Best Automatic Adhoc Figure 5 5 Figure 3 --Best Automatic Routing ResultsFigure4--Best Manual Routing Results Table 1 1 :TREC-2 Participants (14 companies, 17 universities) 2.  ... 
doi:10.1016/0306-4573(94)00047-7 fatcat:phz6s3epkff73ir4ty5thg7ibe

Using clustering and SuperConcepts within SMART: TREC 6

Chris Buckley, Mandar Mitra, Janet Walz, Claire Cardie
2000 Information Processing & Management  
The major focus for TREC 6 is on trying to maintain the balance of the query { attempting to ensure the various aspects of the original query are appropriately addressed, especially while adding expansion  ...  The Smart information retrieval project emphasizes completely automatic approaches to the understanding and retrieval of large quantities of text.  ...  Ad-hoc Ad-hoc Methodology Automatic query expansion using pseudo relevance feedback has proven itself to be very useful in past TREC's ( 7, 8 , 3 , 1 2 ] . In this approach: 1.  ... 
doi:10.1016/s0306-4573(99)00047-3 fatcat:qlyplmu3xvgm5kgzw6fvmsqtsu

The Smart/Empire TIPSTER IR system

Chris Buckley, Janet Walz, Claire Cardie, Scott Mardis, Mandar Mitra, David Pierce, Kiri Wagstaff
1996 Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -  
expansion process; 2. weighting the expanded vocabulary by importance to the query; and 3. performing the Smart summarization using only the weighted expanded vocabulary.  ...  This is done by 1. expanding the vocabulary of the query by related words using both a standard Smart cooccurrence based expansion process, and the output of the standard Smart adhoc relevance feedback  ... 
doi:10.3115/1119089.1119111 dblp:conf/tipster/BuckleyWCMMPW98 fatcat:d5kxetucnbad7axxiqqoly5kbu

Smart Information Retrieval using Query Transformation based on Ontology and Semantic-Association

Ram Kumar, S. C. Sharma
2022 International Journal of Advanced Computer Science and Applications  
This paper proposes an ontologybased retrieval system that transforms initial user queries using domain ontologies and applies semantic association during the indexing process.  ...  The proposed system performs a semantic matching between an ontologically enhanced query and index to capture query-related terms.  ...  The authors conclude that query transformation using ontology has a high impact on retrieval performance.  ... 
doi:10.14569/ijacsa.2022.0130446 fatcat:sri7b6wozrbd5cd2xpfpq522bu

A Contextual Query Expansion Based Multi-document Summarizer for Smart Learning

Guangbing Yang, Kinshuk, Dunwei Wen, Erkki Sutinen
2013 2013 International Conference on Signal-Image Technology & Internet-Based Systems  
An approach in contextual query expansion based multi-document summarization is proposed in this paper to provide a solution to alleviate these problems.  ...  In our approach, a multi-document summarization system is built upon a topical n-grams model with a query expansion algorithm to capture the contextual information conveyed by word order and abstract topics  ...  Contextual topics as query expansion The topical n-grams model uses Gibbs sampling to approximate the joint posterior distribution of parameters.  ... 
doi:10.1109/sitis.2013.163 dblp:conf/sitis/YangKWS13 fatcat:5xrwnuzwf5f2fkw4n36sxch5ly

A New Approach for Indexing & Clustering in Twitter Blogosphere

Avinash Samuel, Dilip Kumar Sharma
2017 International Journal of Web Science and Engineeringfor Smart Devices  
Personalized Web Information Gathering using Ontologies 2  ...  The model uses a world learning base and client nearby occurrence stores for client profile obtaining and the catch of client data needs.  ...  Many works tried to learn ontologies automatically without using knowledge bases.  ... 
doi:10.21742/ijwsesd.2017.4.1.01 fatcat:63bh7rnh5zasheyehljcd36fsa

Probabilistic Aspects in Spoken Document Retrieval

Wolfgang Macherey, Hans Jörg Viechtbauer, Hermann Ney
2003 EURASIP Journal on Advances in Signal Processing  
Experiments performed on the TREC-7 and TREC-8 SDR task show comparable or even better results for the new proposed method than other advanced heuristic and probabilistic retrieval metrics.  ...  In SDR, a set of automatically transcribed speech documents constitutes the files for retrieval, to which a user may address a request in natural language.  ...  Baseline results were produced using a new query expansion method.  ... 
doi:10.1155/s1110865703210088 fatcat:sgmmkygn7zcvznu4wd4antp6qu

Enhancing detection through linguistic indexing and topic expansion

Tomek Strzalkowski, Gees C. Stein, G. Bowden Wise
1996 Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -  
We thank Chris Buckley and Donna Harman for providing their IR engines (SMART and Prise) for this research.  ...  This paper is based upon work supported in part by the Defense Advanced Research Projects Agency under Tipster Phase-3 Contract 97-F157200-000.  ...  Table 3 lists selected runs performed with the NLIR system on TREC-6 database using 50 queries (TREC topics) numbered 301 through 350.  ... 
doi:10.3115/1119089.1119114 dblp:conf/tipster/StrzalkowskiSW98 fatcat:2n6coiubprhfzb5znakjysvucu

Query Expansion using Lexical-Semantic Relations [chapter]

Ellen M. Voorhees
1994 SIGIR '94  
This paper examines the utility of lexical query expansion in the large, diverse TREC collection.  ...  Thus, the results reported here represent an upper bound on the performance to be expected from a completely automatic procedure that uses this expansion strategy.  ...  Selected fields of the original topic statements are indexed using the standard SMART routines.  ... 
doi:10.1007/978-1-4471-2099-5_7 dblp:conf/sigir/Voorhees94 fatcat:s3t73ron4vcidlgoiilsbrzzly

Combining multiple evidence from different types of thesaurus for query expansion

Rila Mandala, Takenobu Tokunaga, Hozumi Tanaka
1999 Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99  
Automatic query expansion has been known to be the most important method in overcoming the word mismatch problem in information retrieval.  ...  Thesauri have long been used by many researchers as a tool for query expansion. However only one type of thesaurus has generally been used.  ...  Timothy Baldwin (TIT, Japan) and three anonymous referees for useful comments on the earlier version of this paper. We also thank Dr. Chris Buckley (SabIR Research) for support with SMART, Dr.  ... 
doi:10.1145/312624.312677 dblp:conf/sigir/MandalaTT99 fatcat:voov5q3wwbewbisieb6jkbbqny

Combining Multiple Evidence from Different Relevance Feedback Methods

Joon Ho Lee
1997 Database Systems for Advanced Applications '97  
It has been known that using di'erent representations of a query retrieves different sets of documents.  ...  In this paper, we first investigate a fully automatic way of generating multiple query representations for (I given information problem.  ...  I would also like to give special thanks to Gerard Salton and Chris Buckley who have developed the SMART system.  ... 
doi:10.1142/9789812819536_0044 fatcat:hfkar5l2czf23b3bjzr4ojen6m

Learned vector-space models for document retrieval

William R. Caid, Susan T. Dumais, Stephen I. Gallant
1995 Information Processing & Management  
Automatic query expansion, however, has not been very successful. Unless term expansion is done very carefully, precision often suffers.  ...  The details of what "contexts" are and how they are used to construct the feature space differ for the two methods and will be described more completely in sections 2 and 3 below.  ...  Automatic query expansion, however, has not been very successful. Unless term expansion is done very carefully, precision often suffers.  ... 
doi:10.1016/0306-4573(94)00056-9 fatcat:u5wusc24pjhnddfqlwvqg7tadi

Page 56 of Library & Information Science Abstracts Vol. , Issue 7 [page]

1995 Library & Information Science Abstracts  
can pore ne Ane ay yor eee unrestricted text Original abstract-amended. 8112 Automatic routing and retrieval using Smart: TREC-2.  ...  The routing experiments use conventional relevance feedback approaches to routing, but with a much greater degree of query expansion than was previously done.  ... 
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