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The centrality of user modeling to high recall with high precision search

Dan Brassil, Christopher Hogan, Simon Attfield
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
In this paper, we report on systematic User Modeling (UM) and the use of a system-internal agent (proxy) to produce a hybrid human-computer system that achieves extraordinarily high performance on mediated  ...  We illustrate how these components provide a framework with which a user and a proxy co-construct a shared representation of information needs and mutual knowledge.  ...  During UM, a combination of issue-focusing and data-focusing techniques are used such as employing questionnaires, exemplar documents drawn from the target corpus, and user interviews to draw the user's  ... 
doi:10.1109/icsmc.2009.5346738 dblp:conf/smc/BrassilHA09 fatcat:7ebai5y2brcdxkg3behmgujkim

Constructing Topic-specific Search Keyphrase Suggestion Tools for Web Information Retrieval

Pirkola Ari
2020 Zenodo  
The list is intended as a search aid for Web information retrieval, so that the user can browse the list, identify different aspects of the topic, and select from it keyphrases (e.g. find synonymous phrases  ...  ) for a query.  ...  The list is intended as an aid for Web information retrieval, so that the user can browse the list and select from it keys for a query.  ... 
doi:10.5281/zenodo.4134558 fatcat:q3xd6dcvbbbofft4se2f7mrpci

Generating Biomedical Question Answering Corpora from Q&A Forums

Andre Lamurias, Diana Sousa, Francisco M. Couto
2020 IEEE Access  
We present a method to automatically extract question-article pairs from Q&A web forums, which can be used for document retrieval, a crucial step of most QA systems.  ...  Also, we demonstrated that the articles given as answers are significantly similar to the questions and trained a state-of-the-art deep learning model that obtained similar performance to using a dataset  ...  It is more intuitive for users to retrieve information using natural language than through keyword-based search.  ... 
doi:10.1109/access.2020.3020868 fatcat:32ap5ywpkzgqnjn3yqylf4mwlm

Summaries on the Fly: Query-Based Extraction of Structured Knowledge from Web Documents [chapter]

Besnik Fetahu, Bernardo Pereira Nunes, Stefan Dietze
2013 Lecture Notes in Computer Science  
A large part of Web resources consists of unstructured textual content. Processing and retrieving relevant content for a particular information need is challenging for both machines and humans.  ...  While information retrieval techniques provide methods for detecting suitable resources for a particular query, information extraction techniques enable the extraction of structured data and text summarization  ...  The manually created summaries extracted from the NYT corpus were used as reference summaries.  ... 
doi:10.1007/978-3-642-39200-9_22 fatcat:un2vmqvcrza2voox2626o4sp4q

Performing Informetric Analysis on Information Retrieval Test Collections: Preliminary Experiments in the Physics Domain [article]

Tamara Heck, Philipp Schaer
2013 arXiv   pre-print
and relevance judgements can be used as a test bed for informetric analyses.  ...  results for the user.  ...  If the results are positive, this standard IR corpus might serve as a basis for further retrieval and science model testing.  ... 
arXiv:1306.1743v1 fatcat:pu6yqykscre7rcj3wuklne5wiq

Generating Scientific Question Answering Corpora from Q A forums [article]

Andre Lamurias, Diana Sousa, Francisco M. Couto
2020 arXiv   pre-print
We present a method to automatically extract question-article pairs from Q&A web forums, which can be used for document retrieval and QA tasks.  ...  Question Answering (QA) is a natural language processing task that aims at retrieving relevant answers to user questions.  ...  It is more intuitive for users to retrieve information using natural language than through a selection of keywords.  ... 
arXiv:2002.02375v1 fatcat:hcgn47xh55bghnw2kzqnnr5444

Indian Languages IR using Latent Semantic Indexing

A.P SivaKumar, P Premchand, A Govardhan
2011 International Journal of Computer Science & Information Technology (IJCSIT)  
Parallel corpus consisting of both Hindi and English documents is created and is used for training and testing the system.  ...  This paper uses the Singular Value Decomposition (SVD) of LSI technique to achieve effective indexing for English and Hindi languages.  ...  In this experiment we have mainly focused on improving a Hindi-English cross language information retrieval using latent semantic indexing.  ... 
doi:10.5121/ijcsit.2011.3419 fatcat:h6hknvw25vc3jb46q5uwumhxpq

Cross Language Information Retrieval (CLIR): A Survey of Approaches for Exploring Web Across Languages

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Most of the present monolingual information retrieval systems can retrieve documents in the language of query only, missing the information in other languages that may be more relevant to the user.  ...  Starting with the most fundamental approaches of translation, it is attempted to study and present a review of more advanced approaches for enhancing the retrieval results in CLIR proposed by various researchers  ...  The user may also expect the information to be retrieved in a language in which the user is more comfortable.  ... 
doi:10.35940/ijitee.k7833.1110120 fatcat:qnfk26zmnndt7loi2kujjfiwr4

Expedition

Jaspreet Singh, Wolfgang Nejdl, Avishek Anand
2016 Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval - SIGIR '16  
Expedition possesses a suite of ad-hoc and diversity based retrieval models to address complex information needs; a newspaper-style user interface to allow for larger textual previews and comparisons;  ...  However these systems have been designed for more general users rather than scholars. Scholars have more complex information needs in comparison to general users.  ...  For instance, initially the user may want an overview and subsequently more focused results.  ... 
doi:10.1145/2911451.2911465 dblp:conf/sigir/SinghNA16 fatcat:al4zmhccmrf2rajfhate3mtm2u

Literature Explorer: effective retrieval of scientific documents through nonparametric thematic topic detection

Shaopeng Wu, Youbing Zhao, Farzad Parvinzamir, Nikolaos Th. Ersotelos, Hui Wei, Feng Dong
2019 The Visual Computer  
While these publications offer rich and valuable information, the scale of the datasets makes it difficult for the researchers to manage and search for desired information efficiently.  ...  We propose a novel topic mining method that is able to uncover "thematic topics" from a scientific corpus.  ...  The topics are orthogonal to each other to capture most information in the text, which makes its results useful as a representation of documents for classifications.  ... 
doi:10.1007/s00371-019-01721-7 fatcat:rgz3z4eiojbkdfia4xtdzyjl5a

Introduction to the special topic section on multilingual information systems

Christopher C. Yang, Wai Lam
2006 Journal of the American Society for Information Science and Technology  
Parallel and comparable corpora are important for generating a statistical translation model to overcome the limitations of a manually generated dictionary.  ...  And there are many countries in the world using more than one language as their official languages.  ...  The model parameters can be learned from a large parallel corpus.  ... 
doi:10.1002/asi.20325 fatcat:rjg7qleo7fh3zmdmhclksbg53i

Text Summarization using QA Corpus for User Interaction Model QA System

Karpagam K., College of Engineering & Technology, Pollachi, Saradha A., Manikandan K., Madusudanan K., Institute of Road Transport and Technology, Erode, Vellore Institute of Technology, Vellore, College of Engineering & Technology, Pollachi
2020 International Journal of Education and Management Engineering  
The large QA corpus has been dynamically clustered with semantic features paves a way for efficient document's retrieval.  ...  To reduce the response time summary generation, QA corpus is built for similar questions and answer with help of learning model. It has been trained and tested by Quora duplicate and Yahoo!  ...  User Interaction Model for Similar Questions User interaction model is used to implement the language modelling to map the user and answer keywords to recommend related questions for future usage.  ... 
doi:10.5815/ijeme.2020.03.04 fatcat:wokhamjdo5fwvhf5ojtmovntxy

An Illustrated Methodology for Evaluating ASR Systems [chapter]

María González, Julián Moreno, José Luis Martínez, Paloma Martínez
2013 Lecture Notes in Computer Science  
Automatic speech recognition technology can be integrated in an information retrieval process to allow searching on multimedia contents.  ...  This paper introduces a methodology to accomplish the evaluation of different speech recognition systems in several scenarios considering also the creation of new corpora of different types (broadcast  ...  Authors would like to thank all BUSCAMEDIA partners for their knowledge and contribution and also by MA2VICMR: Improving the access, analysis and visibility of the multilingual and multimedia information  ... 
doi:10.1007/978-3-642-37425-8_3 fatcat:xjuxruy4sjbrhceee2qi5gg7wi

A comparative study of various text mining approaches for analysis of drug reaction using social media post

Smruti J. Dave, Prof. Hardik H. Maheta
2019 International Journal of Research in Advent Technology  
Adverse drug reactions can be referred as unwanted, uncomfortable or a harmful effect that any drug may cause.  ...  Here, our main aim is to come up with a comparison of various text mining methodologies that can enable us to detect unreported adverse drug reactions using social media posts.  ...  VARIOUS APPROACHES USED IN LITERATURE 3.1 Information Retrieval Information retrieval is the task of retrieving the related and useful information from the databases [11] .  ... 
doi:10.32622/ijrat.74201994 fatcat:hnaurfn5erdb5amzclmtzhr6si

Competitive Search

Oren Kurland, Moshe Tennenholtz
2022 Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval  
As a case in point, researchers showed using game theoretic analysis that the probability ranking principle is not optimal in competitive retrieval settings; specifically, it leads to reduced topical diversity  ...  We provide a broad perspective on recent work on competitive retrieval settings, argue that this work is the tip of the iceberg, and pose a suite of novel research directions; for example, a general game  ...  We thank the reviewers for their comments.  ... 
doi:10.1145/3477495.3532771 fatcat:itaskaajqrdtbdyhyvldnqeaoy
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