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Incorporating context within the language modeling approach for ad hoc information retrieval

Leif Azzopardi
2006 SIGIR Forum  
In this thesis, we investigate using the Language Modeling approach for ad hoc Information Retrieval as a theoretically principled framework for encoding contextual evidence.  ...  However, the Language Modeling approach also represents a change to the way probability theory is applied in ad hoc Information Retrieval and makes several assumptions for its application [112, 113, 57  ...  Modeling (LM) approach to ad hoc Information Retrieval.  ... 
doi:10.1145/1147197.1147211 fatcat:pt4gihyz4zabdjrux2byg7wnoe

Semantic Models for the First-stage Retrieval: A Comprehensive Review [article]

Yinqiong Cai, Yixing Fan, Jiafeng Guo, Fei Sun, Ruqing Zhang, Xueqi Cheng
2021 arXiv   pre-print
Recently, we have witnessed an explosive growth of research interests on the first-stage semantic retrieval models.  ...  Unlike re-ranking stages going through quick technique shifts during past decades, the first-stage retrieval has long been dominated by classical term-based models.  ...  ad-hoc retrieval [101] .  ... 
arXiv:2103.04831v3 fatcat:6qa7hvc3jve3pcmo2mo4qsiefq

Term necessity prediction

Le Zhao, Jamie Callan
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
a relevance model.  ...  in retrieval accuracy.  ...  "(find | identify | provide) (documents | reports | information) (on | about)". Removing these improves baseline ad-hoc retrieval performance, but has little effect on necessity weighting based runs.  ... 
doi:10.1145/1871437.1871474 dblp:conf/cikm/ZhaoC10 fatcat:h335fq5ecfbcvpo5yu7ln2qwia

Topic Model based Approach for Improved Indexing in Content based Document Retrieval

Moon Soo Cha, So Yeon Kim, Jae Hee Ha, Min-June Lee, Young-June Choi, Kyung-Ah Sohn
2016 International Journal of Networked and Distributed Computing (IJNDC)  
Information Retrieval system plays an essential role in web services.  ...  We present a topic-model based framework for fast and effective Content Based Document Information Retrieval that retrieves the information from the actual contents in the attachment.  ...  For information retrieval, a topic model for ad-hoc information retrieval using LDA (IR) has been proposed [14, 15] .  ... 
doi:10.2991/ijndc.2016.4.1.6 fatcat:5z4v3dp5kvaz3p2lfpi2hiuqvq

Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability

Markus Borg, Per Runeson, Anders Ardö
2013 Empirical Software Engineering  
Several researchers have proposed expressing retrieval of trace links among artifacts, i.e. trace recovery, as an Information Retrieval (IR) problem.  ...  Of the 79 publications classified, a majority applied algebraic IR models.  ...  and Lorand Dali for excellent comments on IR details.  ... 
doi:10.1007/s10664-013-9255-y fatcat:s7oz6jzovze3tbhswlpnp235ty

Natural Language Processing in-and-for Design Research [article]

L Siddharth, Lucienne T. M. Blessing, Jianxi Luo
2022 arXiv   pre-print
We review the scholarly contributions that utilise Natural Language Processing (NLP) techniques to support the design process.  ...  Upon summarizing and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP.  ...  They demonstrate using an Information-Content (IC) based similarity measure as to how the ontology aids in knowledge retrieval. For case-based retrieval, Akmal et al.  ... 
arXiv:2111.13827v3 fatcat:om5ty3jm2veh3kkwzpsfb2epzi

Natural language processing in-and-for design research

L. Siddharth, Lucienne Blessing, Jianxi Luo
2022 Design Science  
We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process.  ...  Upon summarising and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP.  ...  They demonstrate using an Information-Content (IC) based similarity measure as to how the ontology aids in knowledge retrieval.  ... 
doi:10.1017/dsj.2022.16 fatcat:zxp476pxrbemxkpaoutsixjwem

Remedies against the Vocabulary Gap in Information Retrieval [article]

Christophe Van Gysel
2017 arXiv   pre-print
More specifically, we propose (1) methods to formulate an effective query from complex textual structures and (2) latent vector space models that circumvent the vocabulary gap in information retrieval.  ...  Search engines rely heavily on term-based approaches that represent queries and documents as bags of words.  ...  Section 2.1.4 provides background on query formulation methods, with an emphasis on prior art search and sub-query selection in ad-hoc document retrieval.  ... 
arXiv:1711.06004v1 fatcat:6vkhvfby3zbzrepgopunm7gie4

The optimum clustering framework: implementing the cluster hypothesis

Norbert Fuhr, Marc Lechtenfeld, Benno Stein, Tim Gollub
2011 Information retrieval (Boston)  
Document clustering offers the potential of supporting users in interactive retrieval, especially when users have problems in specifying their information need precisely.  ...  After introducing an appropriate validity measure, we define optimum clustering with respect to the estimates of the relevance probability for the query-document pairs under consideration.  ...  Introduction The vast amount of research on IR methods deals with ad-hoc retrieval. However, from a user-oriented perspective, this is only one of several methods of information access.  ... 
doi:10.1007/s10791-011-9173-9 fatcat:6vg4ismou5hunihe7mz5kvspe4

Artificial Intelligence and Law

ANTONIO A. MARTINO
1994 International Journal of Law and Information Technology  
Search Effectiveness An important analysis is to evaluate the effectiveness of retrieval of related terms from the perspective of the search meeting the information retrieval needs of the e-discovery investigator  ...  Also, methods such as ad-hoc or blind relevance feedback techniques rely on an initial keyword search producing a top-n results which can then be used for query expansion.  ...  The user of an eDiscovery platform needs to know not only how well an information seeking process is running, but how well the alternatives to that process could have run.  ... 
doi:10.1093/ijlit/2.2.154 fatcat:ff7kwvvn3vcbblhlkf63oqntyu

Artificial Intelligence and the Law

Charlotte Walker-Osborn, Christopher Chan
2017 ITNOW  
Search Effectiveness An important analysis is to evaluate the effectiveness of retrieval of related terms from the perspective of the search meeting the information retrieval needs of the e-discovery investigator  ...  Also, methods such as ad-hoc or blind relevance feedback techniques rely on an initial keyword search producing a top-n results which can then be used for query expansion.  ...  The user of an eDiscovery platform needs to know not only how well an information seeking process is running, but how well the alternatives to that process could have run.  ... 
doi:10.1093/itnow/bwx017 fatcat:62ezubai3fcwlpie35xjq3iyem

A Systematic Comparison of Search-Based Approaches for LDA Hyperparameter Tuning

Annibale Panichella
2020 Information and Software Technology  
Future work should focus on improving the surrogate metrics used to calibrate/tune LDA in an unsupervised fashion.  ...  Objective: Recent studies applied meta-heuristic search (mostly evolutionary algorithms) to configure LDA in an unsupervised and automated fashion.  ...  Answering this question if fundamental, as SE documents differ from natural language corpora typically used in topic modeling and information retrieval [5] .  ... 
doi:10.1016/j.infsof.2020.106411 fatcat:zwhbpfu725gdfkne6edwhuppxu

Enhanced vector space models for content-based recommender systems

Cataldo Musto
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
Se- mantic vectors: an information retrieval scenario.  ...  In the first case classical state-of-the-art datasets and the typical measures based on accuracy and precision will be used, while in the latter it will be developed some ad-hoc web application  ... 
doi:10.1145/1864708.1864791 dblp:conf/recsys/Musto10 fatcat:btpepieksvdrtpgdihskllxc34

Content-based multimedia information retrieval

Michael S. Lew, Nicu Sebe, Chabane Djeraba, Ramesh Jain
2006 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
We perform PLSA through an approximation based on non-negative matrix factorisation NMF.  ...  Our approach to model the context of multimedia is based on unsupervised methods to automatically extract meaning. We investigate two paths of context modelling.  ...  Tags for personal organisation of music, on the other hand is usually ad hoc and highly informal, and may say as much about the tagger as about the item being tagged.  ... 
doi:10.1145/1126004.1126005 fatcat:wrzcdfn72rgzlh2ymbzqgvrfr4

Software Development Process Mining: Discovery, Conformance Checking and Enhancement

Joao Caldeira, Fernando Brito e Abreu
2016 2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC)  
An approach to detect duplicate bug reports, using information retrieval and topic modeling, namely LDA, was presented in [159] .  ...  If a test returns a significant f-statistic, then one may need to run an ad hoc test (eg: Tukey HSD) to learn exactly which groups had a difference in means.  ... 
doi:10.1109/quatic.2016.061 dblp:conf/quatic/CaldeiraA16 fatcat:acb3seoe7vh6hamsvwor2qzcou
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