Query Expansion 2016


Query expansion is the process of reformulating a seed query, for instance expanding a search.


See also:

100 Best BigQuery Videos | 100 Best XQuery Videos | Faceted Classification & Natural Language 2016 | Query Construction Module | Query Expansion & Dialog Systems | Query Formulation Module

Query expansion with locally-trained word embeddings
F Diaz, B Mitra, N Craswell – arXiv preprint arXiv:1605.07891, 2016 – arxiv.org
Abstract: Continuous space word embeddings have received a great deal of attention in the natural language processing and machine learning communities for their ability to model term similarity and other relationships. We study the use of term relatedness in the context of

A comparison of deep learning based query expansion with pseudo-relevance feedback and mutual information
M ALMasri, C Berrut, JP Chevallet – European Conference on Information …, 2016 – Springer
Abstract Automatic query expansion techniques are widely applied for improving text retrieval performance, using a variety of approaches that exploit several data sources for finding expansion terms. Selecting expansion terms is challenging and requires a

Using word embeddings for automatic query expansion
D Roy, D Paul, M Mitra, U Garain – arXiv preprint arXiv:1606.07608, 2016 – arxiv.org
Abstract: In this paper a framework for Automatic Query Expansion (AQE) is proposed using distributed neural language model word2vec. Using semantic and contextual relation in a distributed and unsupervised framework, word2vec learns a low dimensional embedding for

Knowledge based query expansion in complex multimedia event detection
M de Boer, K Schutte, W Kraaij – Multimedia Tools and Applications, 2016 – Springer
Abstract A common approach in content based video information retrieval is to perform automatic shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of state-of-the-art automatic annotation systems is limited to a few thousand

Information retrieval from historical newspaper collections in highly inflectional languages: A query expansion approach
A Järvelin, H Keskustalo, E Sormunen… – Journal of the …, 2016 – Wiley Online Library
Abstract The aim of the study was to test whether query expansion by approximate string matching methods is beneficial in retrieval from historical newspaper collections in a language rich with compounds and inflectional forms (Finnish). First, approximate string

Query expansion based on crowd knowledge for code search
L Nie, H Jiang, Z Ren, Z Sun, X Li – IEEE Transactions on …, 2016 – ieeexplore.ieee.org
Abstract: As code search is a frequent developer activity in software development practices, improving the performance of code search is a critical task. In the text retrieval based search techniques employed in the code search, the term mismatch problem is a critical language

Query expansion using word embeddings
S Kuzi, A Shtok, O Kurland – Proceedings of the 25th ACM International …, 2016 – dl.acm.org
Abstract We present a suite of query expansion methods that are based on word embeddings. Using Word2Vec’s CBOW embedding approach, applied over the entire corpus on which search is performed, we select terms that are semantically related to the

An empirical comparison of term association and knowledge graphs for query expansion
S Balaneshinkordan, A Kotov – European Conference on Information …, 2016 – Springer
Abstract Term graphs constructed from document collections as well as external resources, such as encyclopedias (DBpedia) and knowledge bases (Freebase and ConceptNet), have been individually shown to be effective sources of semantically related terms for query

Arabic query expansion using wordnet and association rules
A Abbache, F Meziane, G Belalem… – International Journal of …, 2016 – usir.salford.ac.uk
Query expansion is the process of adding additional relevant terms to the original queries to improve the performance of information retrieval systems. However, previous studies showed that automatic query expansion using WordNet do not lead to an improvement in

Query Expansion via structural motifs in Wikipedia Graph
J Guisado-Gámez, A Prat-Pérez… – arXiv preprint arXiv …, 2016 – arxiv.org
Abstract: The search for relevant information can be very frustrating for users who, unintentionally, use too general or inappropriate keywords to express their requests. To overcome this situation, query expansion techniques aim at transforming the user request by

Assessment of learning to rank methods for query expansion
B Xu, H Lin, Y Lin – Journal of the Association for Information …, 2016 – Wiley Online Library
Abstract Pseudo relevance feedback, as an effective query expansion method, can significantly improve information retrieval performance. However, the method may negatively impact the retrieval performance when some irrelevant terms are used in the

Bat Algorithm for Efficient Query Expansion: Application to MEDLINE.
I Khennak, H Drias – WorldCIST (1), 2016 – books.google.com
Abstract. Query expansion (QE) has long been suggested as an effective way to improve the retrieval effectiveness and overcome the shortcomings of search engines. Notwithstanding its performance, QE still suffers from limitations that have limited its deployment as a

Proximity relevance model for query expansion
L Ermakova, J Mothe, E Nikitina – Proceedings of the 31st Annual ACM …, 2016 – dl.acm.org
Abstract Query expansion (QE) aims at improving information retrieval effectiveness by enhancing the query formulation. Because users’ queries are generally short and because of the language ambiguity, some information needs are difficult to satisfy. Query

A novel fuzzy logic model for pseudo-relevance feedback-based query expansion
J Singh, M Prasad, OK Prasad, EM Joo… – International Journal of …, 2016 – Springer
Abstract In this paper, a novel fuzzy logic-based expansion approach considering the relevance score produced by different rank aggregation approaches is proposed. It is well known that different rank aggregation approaches yield different relevance scores for each

An approach to semantic query expansion system based on Hepatitis ontology
C Yunzhi, L Huijuan, L Shapiro… – Journal of …, 2016 – jbiolres.biomedcentral.com
Background Ontology development, as an increasingly practical vehicle applied in various fields, plays a significant role in knowledge management. This paper, focusing on constructing and querying a hepatitis ontology, aims to provide a framework for ontology-

Math Indexer and Searcher under the Hood: Fine-tuning Query Expansion and Unification Strategies.
M Ruzicka, P Sojka, M Líska – NTCIR, 2016 – pdfs.semanticscholar.org
ABSTRACT This paper summarizes the experience of Math Information Retrieval team of Masaryk University (MIRMU) with the NTCIR-12 MathIR arXiv Main Task and its subtasks. We based our approach on the MIaS system. Based on NTCIR-11 Math-2 Task relevance

Ranks aggregation and semantic genetic approach based hybrid model for query expansion
J Singh, A Sharan – International Journal of Computational …, 2016 – atlantis-press.com
Abstract Effective query expansion terms selection methods are really very important for improving the accuracy and efficiency of Pseudo-Relevance Feedback (PRF) based automatic query expansion techniques in information retrieval system. These methods

A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications
PC Saraiva, JMB Cavalcanti, ES de Moura… – Information processing & …, 2016 – Elsevier
Abstract We present a novel multimodal query expansion strategy, based on genetic programming (GP), for image search in visually-oriented e-commerce applications. Our GP-based approach aims at both: learning to expand queries with multimodal information and

Using WordNet for Query Expansion: ADAPT@ FIRE 2016 Microblog Track.
W Li, D Ganguly, GJF Jones – FIRE (Working Notes), 2016 – fire.irsi.res.in
… length of tweets • differing use of vocabulary in the topics and the tweets Our Proposal: • query expansion based on WordNet WordNet: • an electronic lexical database: synonyms, hypernyms or hyponyms … Use the original topic to search and obtain a ranked list • Go through top 30 tweets,

Comparing two strategies for query expansion in a news monitoring system
P Mahdabi, A Popescu-Belis – … on Applications of Natural Language to …, 2016 – Springer
Abstract In this paper, we study query expansion strategies that improve the relevance of retrieved documents in a news and social media monitoring system, which performs real-time searches based on complex queries. We propose a two-step retrieval strategy using

Temporal query expansion using a continuous hidden markov model
J Rao, J Lin – Proceedings of the 2016 ACM on International …, 2016 – dl.acm.org
Abstract In standard formulations of pseudo-relevance feedback, document timestamps do not play a role in identifying expansion terms. Yet we know that when searching social media posts such as tweets, relevant documents are bursty and usually occur in temporal

Fuzzy latent semantic query expansion model for enhancing information retrieval
OFW Onifade, AOJ Ibitoye – International Journal of Modern …, 2016 – search.proquest.com
Abstract One natural and successful technique to have retrieved documents that is relevant to users’ intention is by expanding the original query with other words that best capture the goal of users. However, no matter the means implored on the clustered document while

Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System
P Mulhem, NO Amer, M Géry – International Conference on Database and …, 2016 – Springer
Abstract This paper tackles the problem of pinpointing relevant information in a social network for Personalized Information Retrieval (PIR). We start from the premise that user profiles must be filtered so that they outperform non profile based queries. The formal Profile

Keyword search using query expansion for graph-based rescoring of hypothesized detections
H Xu, X Xiao, NF Chen, ES Chng… – Acoustics, Speech and …, 2016 – ieeexplore.ieee.org
Abstract: In this work, we propose a novel framework for rescoring keyword search (KWS) detections using acoustic samples extracted from the training data. We view the keyword rescoring task as an information retrieval task and adopt the idea of query expansion. We

Effectiveness of Google keyword suggestion on users’ relevance judgment: a mixed method approach to query expansion
R Fattahi, M Parirokh, MH Dayyani… – The Electronic …, 2016 – emeraldinsight.com
Purpose–One of the most effective ways information retrieval (IR) systems including Web search engines can improve relevance performance is to provide their users with tools for facilitating query expansion. Search engines such as Google provide users with keyword

Improving biomedical information retrieval by linear combinations of different query expansion techniques
AAAA Abdulla, H Lin, B Xu… – BMC …, 2016 – bmcbioinformatics.biomedcentral …
Background Biomedical literature retrieval is becoming increasingly complex, and there is a fundamental need for advanced information retrieval systems. Information Retrieval (IR) programs scour unstructured materials such as text documents in large reserves of data that

Keyword search using query expansion for graph-based rescoring of hypothesized detections
T Pham, VT Pham, H Xu, X Xiao, NF Chen, ES Chng… – 2016 – sigport.org
Abstract: In this work, we propose a novel framework for rescoring keyword search (KWS) detections using acoustic samples extracted from the training data. We view the keyword rescoring task as an information retrieval task and adopt the idea of query expansion. We

Select, link and rank: Diversified query expansion and entity ranking using wikipedia
A Krishnan, D Padmanabhan, S Ranu… – … Conference on Web …, 2016 – Springer
Abstract A search query, being a very concise grounding of user intent, could potentially have many possible interpretations. Search engines hedge their bets by diversifying top results to cover multiple such possibilities so that the user is likely to be satisfied, whatever

Classification for collections mapping and query expansion
C Gnoli?, L Pusterla?, A Bendiscioli?, C Recinella? – 2016 – ceur-ws.org
Abstract. Dewey Decimal Classification has been used to organize materials owned by the three scientific libraries at the University of Pavia, and to allow integrated browsing in their union catalogue through SciGator, a home built web-based user interface. Classification

Relevance Feedback-based Query Expansion Model using Ranks Combining and Word2Vec Approach
J Singh, A Sharan – IETE Journal of Research, 2016 – Taylor & Francis
ABSTRACT Query expansion is a well-known method for improving the performance of information retrieval systems. Pseudo-relevance feedback (PRF)-based query expansion is a type of query expansion approach that assumes the top-ranked retrieved documents are

Sequential query expansion using concept graph
S Balaneshin-kordan, A Kotov – … of the 25th ACM International on …, 2016 – dl.acm.org
Abstract Manually and automatically constructed concept graphs (or semantic networks), in which the nodes correspond to words or phrases and the typed edges designate semantic relationships between words and phrases, have been previously shown to be rich sources

Improving the dictionary lookup approach for disease normalization using enhanced dictionary and query expansion
J Jonnagaddala, TR Jue, NW Chang, HJ Dai – Database, 2016 – academic.oup.com
Abstract The rapidly increasing biomedical literature calls for the need of an automatic approach in the recognition and normalization of disease mentions in order to increase the precision and effectivity of disease based information retrieval. A variety of methods have

A Quantum Query Expansion Approach for Session Search
P Zhang, J Li, B Wang, X Zhao, D Song, Y Hou… – Entropy, 2016 – mdpi.com
Abstract: Recently, Quantum Theory (QT) has been employed to advance the theory of Information Retrieval (IR). Various analogies between QT and IR have been established. Among them, a typical one is applying the idea of photon polarization in IR tasks, eg, for

A linguistically driven framework for query expansion via grammatical constituent highlighting and role-based concept weighting
B Selvaretnam, M Belkhatir – Information Processing & Management, 2016 – Elsevier
Abstract In this paper, we propose a linguistically-motivated query expansion framework that recognizes and encodes significant query constituents characterizing query intent in order to improve retrieval performance. Concepts-of-Interest are recognized as the core concepts

Utilisation of metadata fields and query expansion in cross-lingual search of user-generated internet video
A Khwileh, D Ganguly, GJF Jones – Journal of Artificial Intelligence …, 2016 – jair.org
Abstract Recent years have seen significant efforts in the area of Cross Language Information Retrieval (CLIR) for text retrieval. This work initially focused on formally published content, but more recently research has begun to concentrate on CLIR for

The Effectiveness of Query Expansion when searching for Health related Content: InfoLab at CLEF eHealth 2016.
R Silva, C Lopes – CLEF (Working Notes), 2016 – ceur-ws.org
Abstract. In this paper we describe the participation of InfoLab in the patient-centred information retrieval task of the CLEF eHealth 2016 lab. We analyse the performance of several query expansion strategies using different sources of terms and different methods to

Web Search Enhancement Using WordNet Query Expansion Technique
B Al-Khateeb, AJ Hilal, S Al-Janabi – Journal of University of …, 2016 – researchgate.net
Abstract—Search on the internet is a very important process for most people as many people use search engines to do research, obtain scientific documents, browse social networks (such as Facebook, twitter, etc.), email, etc. The user’s ability to find useful

Domain lexicon-based query expansion for patent retrieval
F Wang, L Lin – … and Knowledge Discovery (ICNC-FSKD), 2016 …, 2016 – ieeexplore.ieee.org
Abstract: Patent retrieval is important for technology survey and knowledge protection. Its aim is to search as many patent documents relevant to the patent document query as possible, which is considered as a recall-oriented task. However, existing methods suffer

Short Query Expansion for Microblog Retrieval
MA Zingla, L Chiraz, Y Slimani – Procedia Computer Science, 2016 – Elsevier
Abstract Twitter has emerged as the most popular among microblogging service providers. The content provided in Twitter is large, diverse, and huge in quantity. Given the increasing amount of information available through such microblogging sites, it would be interesting to

Designing Cross-Language Information Retrieval System using various Techniques of Query Expansion and Indexing for Improved Performance
A Agrawal, AJ Agrawal – 2016 – irjet.net
Abstract-Classical Information Retrieval is finding out of the documents most relevant to a user’s query, from a large store of documents. A search engine performs IR by retrieving relevant web documents from the internet. Cross Language Information Retrieval permits the

SBS 2016: Combining Query Expansion Result and Books Information Score for Book Recommendation.
A Htait, S Fournier, P Bellot – CLEF (Working Notes), 2016 – ceur-ws.org
Abstract. In this paper, we present our contribution in Suggestion Track at the Social Book Search Lab. This track aims to develop test collections for evaluating ranking effectiveness of book retrieval and recommender systems. In our experiments, we combine the results of

Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection
Z Zhang, Q Wang, L Si, J Gao – … of the 39th International ACM SIGIR …, 2016 – dl.acm.org
Abstract Query expansion (QE) is a well known technique to improve retrieval effectiveness, which expands original queries with extra terms that are predicted to be relevant. A recent trend in the literature is Supervised Query Expansion (SQE), where supervised learning is

A hybrid method for retrieving medical documents with query expansion
J Choi, Y Park, M Yi – Big Data and Smart Computing …, 2016 – ieeexplore.ieee.org
Abstract: Query expansion is a well known method widely used to improve the efficiency and precision of information retrieval in diverse fields. However, information retrieval in the medical domain still confronts many challenges due to the vastness of jargons and

Investigating segment-based query expansion for user-generated spoken content retrieval
A Khwileh, GJF Jones – Content-Based Multimedia Indexing …, 2016 – ieeexplore.ieee.org
Abstract: The very rapid growth in user-generated social multimedia content on online platforms is creating new challenges for search technologies. A significant issue for search of this type of content is its highly variable form and quality. This is compounded by the

Conceptual Query Expansion Model for Web Information Retrieval
OFW Onifade, AOJ Ibitoye – journalrepository.org
Abstract The process of retrieving relevant documents from user query is to begin with the clustering of documents with high semantic similarities between terms, and lower inner noise values. Here, the research extends normal keywords document clustering techniques

Exploring Query Expansion for Entity Searches in PubMed
CC Huang, Z Lu – EMNLP 2016, 2016 – anthology.aclweb.org
Abstract Identifying relevant studies from the entire scientific literature is an important task in biomedical research. Past efforts have incorporated semantically recognized biological entities and medical ontologies into biomedical literature search. However, semantic

ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval.
H Liu, Y Song, Y He, Y Wang, Q Hu, L He – TREC, 2016 – pdfs.semanticscholar.org
Abstract. In this paper, we present our work in TREC 2016 Clinical Decision Support Track. Among five submitted runs, two of them are based on summary topics and the others on note topics. In summary version run, we expand the original text with external data on web. Note

Query Expansion by Local Context Analysis
L Ermakova, J Mothe – Conference francophone en …, 2016 – hal.archives-ouvertes.fr
Query expansion (QE) aims at improving information retrieval (IR) effectiveness by enhancing the query formulation. Because users’ queries are generally short and because of the language ambiguity, some information needs are difficult to answer. Query

A Topic Transition Map for Query Expansion: A Semantic Analysis of Click-Through Data and Test Collections
K Kim, Y Jung, SH Myaeng – Australasian Joint Conference on Artificial …, 2016 – Springer
Abstract Term mismatching between queries and documents has long been recognized as a key problem in information retrieval (IR). Based on our analysis of a large-scale web query log and relevant documents in standard test collections, we attempt to detect topic transitions

Selection of Online News for Competitive Intelligence: use of Business Domain Ontology for Internet Search Semantic Query Expansion
CM Duranti, FC De Almeida – Global Journal of Computer …, 2016 – computerresearch.org
Abstract The Internet provides ever increasing volumes of news and information about the environment in which companies operate. This can lead to information overload, in which the volume of information available overwhelms the processing power of the user. Methods

A New Approach for Automatic Query Expansion
I Hmeidi, A Al-Badarneh, AA Al-Qtaish – researchgate.net
Abstract This study investigates the effectiveness of a new automatic query expansion technique for the purpose of Information Retrieval (IR). Automatic query expansion have been studied in information retrieval research to solve the problem of short queries and word

A Novel Information Retrieval Approach using Query Expansion and Spectral-based
S Alnofaie, M Dahab, M Kamal – information retrieval, 2016 – researchgate.net
Abstract—Most of the information retrieval (IR) models rank the documents by computing a score using only the lexicographical query terms or frequency information of the query terms in the document. These models have a limitation as they does not consider the terms

Team DA IICT at Clinical Decision Support Track in TREC 2016: Topic Modeling for Query Expansion.
J Sankhavara, P Majumder – TREC, 2016 – pdfs.semanticscholar.org
Abstract. Clinical Decision Support (CDS) task aims to find the biomedical literature articles related to medical case reports. These articles should help to get answers to the questions of generic clinical types. This paper reports the results on query expansion using topic

Simple-phrase score for selective query expansion in health Information Retrieval
O Thesprasith, C Jaruskulchai – Computer Science and …, 2016 – ieeexplore.ieee.org
Abstract: Query expansion technique is commonly used for the vocabulary mismatch problem in Information Retrieval. External sources can provide useful information and result in improving query expansion effectiveness. Since each source has different characteristics,

Smart query expansion scheme for CDVS based on illumination and key features
T Lu, C Zhu, H Jia, L Duan, L Tao… – … (ICPR), 2016 23rd …, 2016 – ieeexplore.ieee.org
Abstract: Given a query image, retrieving images depicting the same object in a large scale database is becoming an urgent and challenging task. Recently, Compact Description for Visual Search (CDVS) is drafted by the ISO/IEC Moving Pictures Experts Group (MPEG) to

A New Modeling of Query Expansion Using an Effective Bat-Inspired Optimization Algorithm
I Khennak, H Drias, S Kechid – IFAC-PapersOnLine, 2016 – Elsevier
Abstract One of the most successful techniques to improve the retrieval effectiveness and overcome the shortcomings of search engines is Query Expansion (QE). Despite its effectiveness, QE still suffers from drawbacks that have limited its deployment as a standard

Improving Image Retrieval by Local Feature Reselection with Query Expansion
H Wang, T Sun – Pacific Rim Conference on Multimedia, 2016 – Springer
Abstract A novel approach related to query expansion is proposed to improve image retrieval performance. The proposed approach investigates the problem that not all of the visual features extracted from images are appropriate to be employed for similarity matching.

Query Bootstrapping: A Visual Mining Based Query Expansion
S Kasamwattanarote, Y Uchida… – IEICE TRANSACTIONS on …, 2016 – search.ieice.org
Bag of Visual Words (BoVW) is an effective framework for image retrieval. Query expansion (QE) further boosts retrieval performance by refining a query with relevant visual words found from the geometric consistency check between the query image and highly ranked

Query Expansion by Word Embedding in the Suggestion Track of CLEF 2016 Social Book Search Lab.
SH Wu, YH Hsieh, LP Chen… – CLEF (Working …, 2016 – pdfs.semanticscholar.org
Abstract. The Social Book Search (SBS) Lab is part of CLEF 2016 lab series. This is the fourth time that the CYUT CSIE team attends the SBS track. The content of topics has changed a little bit by the organizer; therefore, we make necessary modification on our

A query expansion approach for social media data extraction
N Do, W Rahayu, T Torabi – International Journal of Web …, 2016 – inderscienceonline.com
Social media data analysis has been a significant topic of interest in both academia and industry over the past few years. The availability of the increasingly huge amount of social media data is changing our attitude towards social media data analytics which has moved

Math Indexer and Searcher under the Hood: Fine-tuning Query Expansion and Unifica on Strategies
M R?ži?ka, P Sojka, M n Líška – research.nii.ac.jp
The final result list: 1: original 2: original 3: original 4: subquery 1 5: subquery 1 6: subquery 2 7: original 8: original 9: original 10: subquery 1 11: subquery 1 12: subquery 2 13: original 14: original 15: original 16: subquery 1 No more results from subquery 1. 17: subquery 2 18:

Query Expansion with Automatically Predicted Diagnosis: iRiS at TREC CDS track 2016.
D Zhang, D He, S Zhao, L Li – TREC, 2016 – pdfs.semanticscholar.org
Abstract. This paper describes the participation of the iRiS team from University of Pittsburgh in the TREC Clinical Decision Support (CDS) track in 2016. According to the track requirements, 1,000 most relevant biomedical articles from the PubMed Collection were

Query expansion strategies for laypeople-centred health information retrieval
RDS da Silva – 2016 – repositorio-aberto.up.pt
One of the most common activities on the web is the research for health information. This activity has been gaining popularity among users, but the majority of them have no training in health care, which leads to difficulties in understanding the terminology and contents of

Ontology-based Query Expansion for Arabic Text Retrieval
W Alromima, IF Moawad… – INTERNATIONAL …, 2016 – pdfs.semanticscholar.org
Information Retrieval (IR) such as search engines, Question Answering (QA), etc., these resources should be available, readable and understandable. In semantic web, the ontology plays a central role for the information retrieval, which use to retrieves more relevant

Intelligent Query Expansion for the Queries Including Numerical Terms.
A Fatima – Global Journal of Enterprise Information System, 2016 – search.ebscohost.com
Abstract Generally the query input by a user contains terms that do not match those terms which are used to index the majority of the relevant documents. Sometimes the unretrieved relevant documents are indexed by a different set of terms than those in the query. In order

Query Expansion based on Central Tendency and PRF for Monolingual Retrieval
R Vaidyanathan, S Das, N Srivastava – International Journal of …, 2016 – igi-global.com
Abstract Query Expansion is the process of selecting relevant words that are closest in meaning and context to that of the keyword (s) of query. In this paper, a statistical method of automatically selecting contextually related words for expansion, after identifying a pattern in

Improving Document Ranking using Query Expansion and Classification Techniques for Mixed Script Information Retrieval
S Kumar, AS Ray, S Kamila, A Ekbal… – 13th International …, 2016 – anthology.aclweb.org
Abstract A large amount of user-generated transliterated contents in Roman scripts are available in the Web for the languages that use non-Roman based indigenous scripts. This creates a mixed script space which is mono-lingual or multilingual having more than one

Medical Query Expansion using UMLS
KS Kumar, K Deepa – Indian Journal of Science and Technology, 2016 – indjst.org
Abstract Internet users have grown in recent years and they demand answers for many through online. Searching and retrieving documents is one of the most frequent thing most of the people do today. For retrieving medical related documents, we have to be extra careful

Mathematical Information Retrieval based on Type Embeddings and Query Expansion.
Y Stathopoulos, S Teufel – COLING, 2016 – aclweb.org
Abstract We present an approach to mathematical information retrieval (MIR) that exploits a special kind of technical terminology, referred to as a mathematical type. In this paper, we present and evaluate a type detection mechanism and show its positive effect on the

Query expansion for exploratory search with subtopic discovery in Community Question Answering
L Gao, Y Lu, Q Zhang, H Yang… – Neural Networks (IJCNN) …, 2016 – ieeexplore.ieee.org
Abstract: Exploratory search is cumbersome with today’s search engines, where a user aims to better understand complex concepts. Query expansions techniques have been widely used in exploratory search. However, query expansions often recommend queries that differ

Query Expansion in Resource-Scarce Languages: A Multilingual Framework Utilizing Document Structure
A Kankaria, P Bhattacharyya… – ACM Transactions on …, 2016 – dl.acm.org
Abstract Retrievals in response to queries to search engines in resource-scarce languages often produce no results, which annoys the user. In such cases, at least partially relevant documents must be retrieved. We propose a novel multilingual framework, MultiStructPRF,

Micro-blog Personalized Query Expansion Based on Latent Topic Classification
L Cui, C Wang, C Tan – tjfeonline.com
Abstract With the increasing maturity of Web2. 0 technology and development of micro-blog, the number of micro-blog pages is exponentially rising. Only relying on the traditional micro-blog search engine has not met the requirements of users. Aiming at that the retrieval

T DEM?R – 2016 – etd.lib.metu.edu.tr
In this thesis, semantic search on Turkish news domain with query expansion is proposed. Our aim is to provide the user with the most relevant documents related to their entered keywords. Our system uses data sources from Turkish news websites such as Hürriyet,

… Retrieval Algorithm for Evidence-based Clinical Knowledge Summarization: Combining Concept Extraction, Vector Similarity and Query Expansion for High Precision
K Raja, AJ Sauer, RP Garg, MR Klerer… – arXiv preprint arXiv …, 2016 – arxiv.org
Abstract: Novel information retrieval methods to identify citations relevant to a clinical topic can overcome the knowledge gap existing between the primary literature (MEDLINE) and online clinical knowledge resources such as UpToDate. Searching the MEDLINE database

Web Image Re-ranking using Semantic Signature and Visual Query Expansion
KA Surana, S Patil – International Journal of Computer …, 2016 – search.proquest.com
Abstract Web mining is a important aspect for users to get accurate and relevant data as per user need and satisfaction. Web image re-ranking is an effective way to improve the results of web based image searching. A major challenge in web image re-ranking is that the

A framework of query expansion for image retrieval based on knowledge base and concept similarity
Y He, Y Li, J Lei, CHC Leung – Neurocomputing, 2016 – Elsevier
Abstract We study several semantic concept-based query expansion and re-ranking scheme and compare different ontology-based expansion methods in image search and retrieval. To improve the query expansion efficiency and accuracy, we employ the CYC knowledge base

A search log mining based query expansion technique to improve effectiveness in code search
A Satter, K Sakib – Computer and Information Technology …, 2016 – ieeexplore.ieee.org
Abstract: The effectiveness of a code search engine is reduced when query terms do not represent the information needs properly or terms are ambiguous. As a result, many irrelevant code snippets and software artifacts are retrieved that hinder the developers

Query Expansion for Visual Search Using Data Mining Approach
S KASAMWATTANAROTE – 2016 – ir.soken.ac.jp