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Using Word Embeddings for Automatic Query Expansion
[article]
2016
arXiv
pre-print
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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
2008
International journal of computer applications in technology
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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)
1995
Information Processing & Management
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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
2000
Information Processing & Management
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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
1996
Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -
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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
2022
International Journal of Advanced Computer Science and Applications
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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
2013
2013 International Conference on Signal-Image Technology & Internet-Based Systems
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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
2017
International Journal of Web Science and Engineeringfor Smart Devices
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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
2003
EURASIP Journal on Advances in Signal Processing
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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
1996
Proceedings of a workshop on held at Baltimore, Maryland October 13-15, 1998 -
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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]
1994
SIGIR '94
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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
1999
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '99
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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
1997
Database Systems for Advanced Applications '97
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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
1995
Information Processing & Management
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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
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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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