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A Field Evaluation of Natural Language for Data Retrieval

M. Jarke, J.A. Tuner, E.A. Stohr, Y. Vassiliou, N.H. White, K. Michielsen
1985 IEEE Transactions on Software Engineering  
One strategy for dealing with this problem is to provide these users with a natural language interface.  ...  Theoretical and empirical research in the evaluation of natural language systems is reviewed in [8] , [ 181, [201.  ...  performing field evaluations. Consequently, the rationale for the experimental design of a field study to evaluate a natural language interface becomes of particular interest in and of itself.  ... 
doi:10.1109/tse.1985.231847 fatcat:jzueqyy7dzh2hao6vbyusldfx4

Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies

Verena Dornauer, Franziska Jahn, Konrad Hoeffner, Alfred Winter, Elske Ammenwerth
2020 Studies in Health Technology and Informatics  
We now aimed at applying natural language processing to substitute manual data extraction by automatic data extraction.  ...  In a former feasibility study, we used a faceted search based on ontological modeling of key elements of studies to retrieve precisely described health IT evaluation studies.  ...  Acknowledgments This study took place within the project "HITO -a Health IT Ontology", funded by the Austrian Science Foundation FWF (I 3726-N31) and the German DFG (WI 1605/11-1).  ... 
doi:10.3233/shti200502 pmid:32604609 fatcat:ruc6ciyu4jcjdjalashkj3uxha

Survey on Intelligent Answering System using Similarity Model based Learning

Dr. Yogish HK
2019 International Journal for Research in Applied Science and Engineering Technology  
ML techniques can be applied to a wide range of unlimited problems-vision-based research, fraud detection, price prediction, and even natural language processing (NLP).  ...  There are many response systems that use the concept of natural language processing to answer the questions, but they are not so accurate in finding the right answer.  ...  Natural language is being used for communication in all the fields.  ... 
doi:10.22214/ijraset.2019.5228 fatcat:tlrqnaisc5f7pksvktseppqcsm

Discovering and Querying Hybrid Linked Data

Zareen Syed, Tim Finin, Muhammad Rahman, James Kukla, Jeehye Yun
2015 Extended Semantic Web Conference  
and unstructured data through natural language queries.  ...  We describe our approach to developing a natural language query interface for a hybrid knowledge base Wikitology, and present that as a case study for accessing hybrid information sources with structured  ...  We present a natural language interface over hybrid linked data and present Wikitology Hybrid Knowledge Base as a case study. 2.  ... 
dblp:conf/esws/SyedFRKY15 fatcat:ignvnuh7rnbrvijpcgod65pg3u

On Cohort Retrieval System from Clinical Data Repositories using OMOP Common Data Model: A Proof-of-Concept Implementation (Preprint)

Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William Hersh, Hongfang Liu
2019 JMIR Medical Informatics  
CREATE is a proof-of-concept system that leverages a combination of structured queries and information retrieval techniques on natural language processing results to improve cohort retrieval performance  ...  scalable solutions that can augment natural language processing systems for retrieving and ranking relevant records.  ...  The content of this paper is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.  ... 
doi:10.2196/17376 pmid:33021486 fatcat:jnr452ywrzbuhajeamukcb4aqi

Scholarly literature mining with information retrieval and natural language processing: Preface

Guillaume Cabanac, Ingo Frommholz, Philipp Mayr
2020 Scientometrics  
Acknowledgements We wish to thank all contributors to this special issue: The researchers who submitted papers, the many reviewers who generously offered their time and expertise, and the participants of  ...  coming from all relevant fields and provides a starting point for future explorations in the field. 5 (2018). • "Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital  ...  more relevance for both aforementioned fields, natural language processing (NLP).  ... 
doi:10.1007/s11192-020-03763-4 pmid:33223580 pmcid:PMC7670972 fatcat:p2lua5ophnd3nakfb5oka55blq

Arabic Question Answering: A Study on Challenges, Systems, and Techniques

Heba Samy, Ehab E., Khaled Shaalan
2019 International Journal of Computer Applications  
A considerable portion of the available data on the web is written in Arabic for and by Arabic users.  ...  A general architecture is represented for the Question Answering task on both structured and unstructured data. Then, an overview of the work done in Arabic Question Answering Systems is presented.  ...  Question Answering (QA) is defined, in the field of Natural Language Processing (NLP) and Information Retrieval, as the ability of a computer to answer a natural language question entered by a human.  ... 
doi:10.5120/ijca2019918524 fatcat:zdncecxa4bhxnjnstdzyotkn3m

A comparison of Relational Databases and information retrieval libraries on Turkish text retrieval

Ahmet Arslan, Ozgur Yilmazel
2008 2008 International Conference on Natural Language Processing and Knowledge Engineering  
The present work covers a comparison of the text retrieval performances of relational databases and IR Systems over a TREC-like test collection for Turkish.  ...  The effects of language specific preprocessing and different query lengths for different information retrieval systems are investigated.  ...  Cuna Ekmekcioglu and Peter Willett [7] investigated effectiveness of stemming for Turkish text retrieval using 6,289 news stories extracted from Turkish newspapers and a set of 50 natural-language queries  ... 
doi:10.1109/nlpke.2008.4906748 dblp:conf/nlpke/ArslanY08 fatcat:imn5btfxizdg7hrfj3mlv2imsa

A test collection for entity search in DBpedia

Krisztian Balog, Robert Neumayer
2013 Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval - SIGIR '13  
Further, we present baseline results for this collection with a set of retrieval models based on language modeling and BM25.  ...  This includes a large number of queries and corresponding relevance judgments from previous benchmarking campaigns, covering a broad range of information needs, ranging from short keyword queries to natural  ...  First, we create and make publicly available a data set for entity retrieval in DBpedia. 1 Second, we evaluate and compare a set of baseline methods on this data set.  ... 
doi:10.1145/2484028.2484165 dblp:conf/sigir/BalogN13 fatcat:pltpe6donrfnfij6tppek2qzcm

Challenges in information retrieval and language modeling

James Allan, David J. Harper, Djoerd Hiemstra, Thomas Hofmann, Eduard Hovy, Wessel Kraaij, John Lafferty, Victor Lavrenko, David Lewis, Liz Liddy, R. Manmatha, Jay Aslam (+24 others)
2003 SIGIR Forum  
Introduction Information retrieval (IR) research has reached a point where it is appropriate to assess progress and to define a research agenda for the next five to ten years.  ...  The attendees of the workshop considered information retrieval research in a range of areas chosen to give broad coverage of topic areas that engage information retrieval researchers.  ...  set of annual US government sponsored TREC conferences that provided a level field for evaluating algorithms and systems for IR.  ... 
doi:10.1145/945546.945549 fatcat:h6xsh2uzwzdfdi4g4ypw6ximrq

Machine Learning for Question Answering from Tabular Data

Mahboob Alam Khalid, Valentin Jijkoun, Maarten de Rijke
2007 Database and Expert Systems Applications  
Our approach consists of two steps: for an incoming question, we first use a classifier to identify appropriate tables and columns in a structured database, and then employ a free-text retrieval to look  ...  Question Answering (QA) systems automatically answer natural language questions in a human-like manner.  ...  Conclusions and further work We described an open domain QA system that answers natural language questions using tabular data that has been automatically extracted from a newspaper collection.  ... 
doi:10.1109/dexa.2007.4312923 fatcat:7hhyrnadtje3jmhj3vxevigvye

Machine Learning for Question Answering from Tabular Data

Mahboob Alam Khalid, Valentin Jijkoun, Maarten de Rijke
2007 18th International Conference on Database and Expert Systems Applications (DEXA 2007)  
Our approach consists of two steps: for an incoming question, we first use a classifier to identify appropriate tables and columns in a structured database, and then employ a free-text retrieval to look  ...  Question Answering (QA) systems automatically answer natural language questions in a human-like manner.  ...  Conclusions and further work We described an open domain QA system that answers natural language questions using tabular data that has been automatically extracted from a newspaper collection.  ... 
doi:10.1109/dexa.2007.119 dblp:conf/dexaw/KhalidJR07 fatcat:t3rzezdjkjecjdyockcephpuhq

Salton Award Lecture - Information retrieval and computer science

W. Bruce Croft
2003 Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval - SIGIR '03  
IR is quite an old field, and when a number of CS departments were forming in the 60s, it was not uncommon for a faculty member to be pursuing research related to IR.  ...  Early ACM curriculum recommendations for CS contained courses on information retrieval, and encyclopedias described IR and database systems as different aspects of the same field.  ...  showing me what an exciting area IR can be, and for inspiring me by his example to combine modeling and experimentation to understand the retrieval process.  ... 
doi:10.1145/860435.860437 dblp:conf/sigir/Croft03 fatcat:2dqtr7eh5rdgdb3mdp4hm4g7ly

Evaluation of natural language interfaces to database systems

J. Norwood Crout
1981 Proceedings of the 19th annual meeting on Association for Computational Linguistics -  
Based on experience with INTELLECT in the areas of quality assurance and customer support, a number of issues in evaluating a natural language database query system, particularly the INTELLECT system,  ...  The INTELLECT natural language database query system, a product of Artificial Intelligence Corporation, is the only commercially available system with true English query capability.  ...  Customer evaluations of its fluency are uniformly good; there is a lot of enthusiasm for this technical achievement and its usefulness.  ... 
doi:10.3115/981923.981932 dblp:conf/acl/Crout81 fatcat:lgkt46625zat7okdswehguxkmu

MIETTA --- a framework for uniform and multilingual access to structured database and Web information

Feiyu Xu, Klaus Netter, Holger Stenzhorn
2000 Proceedings of the fifth international workshop on on Information retrieval with Asian languages - IRAL '00  
The framework integrates a crosslingual retrieval strategy with a strategy using natural language techniques: information extraction and multilingual generation.  ...  retrieval of the structured data entries.  ...  The MIETTA consortium consists of the following institutions: The technical partners are DFKI (Deutsches Forschungszentrum für künstliche  ... 
doi:10.1145/355214.355220 dblp:conf/iral/XuNS00 fatcat:uy2siqnrarde7jnib3ry7oe6dy
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