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Using cause-effect relations in text to improve information retrieval precision

Christopher S.G Khoo, Sung Hyon Myaeng, Robert N Oddy
2001 Information Processing & Management  
This study attempted to use semantic relations expressed in text, in particular cause-eect relations, to improve information retrieval eectiveness.  ...  The study investigated whether the information obtained by matching cause-eect relations expressed in documents with the cause-eect relations expressed in users' queries can be used to improve document  ...  the Tipster/TREC information retrieval test collection, BBN Systems and Technologies for use of the POST part-of-speech tagger, and Chris Buckley for use of the evaluation program from the SMART system  ... 
doi:10.1016/s0306-4573(00)00022-4 fatcat:s7d4b7zezneafjypxxqd3beuay

Open Text Ontology Mining to Improve Retrievals of Information

Mohd Pouzi Hamzah, Syarifah Fatem Na'imah Syed Kamaruddin
2021 International Journal of Advanced Computer Science and Applications  
This study tested 10 Malay documents using ontology to retrieve information.  ...  Information retrieval is the main task to extract relevant information from documents.  ...  A method based on semantic information can improve the effectiveness of retrieval compared to a method based on keyword.  ... 
doi:10.14569/ijacsa.2021.0120758 fatcat:72s6m2detzeghowig4v43gzkxa

Using concept relations to improve ranking in information retrieval

Susan L Price, Lois M Delcambre
2005 AMIA Annual Symposium Proceedings  
We propose that some queries and the underlying information needs can be modeled as relationships between concepts (relations), and we match relations in queries to relations in documents to try to improve  ...  We investigate four techniques to identify two relationships important in medicine, causes and treats, to improve the ranking of medical text documents relevant to clinical questions about causation and  ...  [8] studied a single relationship they called cause-effect in a subset from the Text Retrieval Conference (TREC) test collections.  ... 
pmid:16779114 pmcid:PMC1560517 fatcat:6mt3ry72fbfahagcwnskwb7o6e

The use of relation matching in information retrieval

Christopher Soo-Guan Khoo
1997 LIBRES: Library and Information Science Research Electronic Journal  
Most information retrieval systems use keywordmatching to identify documents that may be relevant to the user's query. The user's query may contain multiple concepts linked together with relations.  ...  This paper discusses the use of relation matching in information retrievalmatching terms and relations between terms expressed in the query with terms and relations found in the documents.  ...  relation is useful for improving retrieval effectiveness.  ... 
doi:10.32655/libres.1997.2.1 fatcat:zmvvh3pkbfakbhls5wamewyopq

Language Modeling for Multi-Domain Speech-Driven Text Retrieval [article]

Katunobu Itou, Atsushi Fujii, Tetsuya Ishikawa
2002 arXiv   pre-print
We report experimental results associated with speech-driven text retrieval, which facilitates retrieving information in multiple domains with spoken queries.  ...  Since users speak contents related to a target collection, we produce language models used for speech recognition based on the target collection, so as to improve both the recognition and retrieval accuracy  ...  Acknowledgments The authors would like to thank the National Institute of Informatics for their support with the NTCIR collection and the IREX committee for their support with the IREX collection.  ... 
arXiv:cs/0206036v1 fatcat:qmxaymln4vdpvephkre2mv3a3q

Identifying Semantic Relations in Text for Information Retrieval and Information Extraction [chapter]

Christopher Khoo, Sung Hyon Myaeng
2002 The Semantics of Relationships  
It has been used for relation matching in information retrieval to retrieve documents that contain not only the concepts but also the relations between concepts specified in the user's query.  ...  This chapter examines the main methods used for identifying semantic relations automatically and their application in information retrieval and information extraction.  ...  Researchers have attempted to identify syntactic and semantic relations in text automatically for improving information retrieval effectiveness.  ... 
doi:10.1007/978-94-017-0073-3_10 fatcat:hvmiowqglnbxlpvfj3tbgjyljm

A Survey on Why-Type Question Answering Systems [article]

Manvi Breja, Sanjay Kumar Jain
2019 arXiv   pre-print
Search engines such as Google, Yahoo and Baidu yield information in the form of a relevant set of web pages according to the need of the user.  ...  Question Answering Systems reduce the time taken to get an answer, to a query asked in natural language by providing the one most relevant answer.  ...  Precision Precision is one of the traditional measures used in Information Retrieval which determines the number of retrieved relevant documents.  ... 
arXiv:1911.04879v1 fatcat:wdvngfqkqvgfvmjn67adebwtqi

Page 2000 of Computational Linguistics Vol. 24, Issue 1 [page]

1998 Computational Linguistics  
One way to mitigate the effects of synonyms is to use lexical aids to expand a text (usually the query) by words that are closely related to words in the original text.  ...  Effects of Polysemy on Retrieval Performance The effectiveness of information retrieval systems is usually measured in terms of precision, the percentage of retrieved documents that are relevant, and recall  ... 

An Integrated Page Ranking Algorithm for Personalized Web Search

J. Jayanthi, Dr.K.S. Jayakumar
2011 International Journal of Computer Applications  
It is worth observing that statistical algorithms are applied to -tune‖ the result and, more importantly, approaches based on the concept of relevance feedback are used in order to maximize the satisfaction  ...  This is mainly due to the fact that the very basic relevance criterions underlying their information retrieval strategies rely on the presence of query keywords within the returned pages.  ...  web mining and information retrieval PROBLEM The problem is to personalize Web search for improving retrieval effectiveness.  ... 
doi:10.5120/1732-2350 fatcat:5rg5kbczfjfyfnxxywcwzaqag4

Investigation on Application of Local Cluster Analysis and Part of Speech Tagging on Persian Text

Amir Hossein Jadidinejad, Mitra Mohtarami, Hadi Amiri
2008 Conference and Labs of the Evaluation Forum  
In addition, we applied LCA on the retrieved documents to detect the relevant and irrelevant documents to the user query. The clustering method is an important part in our approach.  ...  In this research we applied Local Cluster Analysis (LCA) in tandem with Part-of-Speech tagging to monolingual task.  ...  Having an accurate POS tagger is useful in many information related applications such as information retrieval, information extraction, text to speech systems, linguistic analysis, etc.  ... 
dblp:conf/clef/JadidinejadMA08 fatcat:6ppt2d42yvh2bgb3u4jtqpddpe

Speech-Driven Text Retrieval: Using Target IR Collections for Statistical Language Model Adaptation in Speech Recognition [article]

Atsushi Fujii, Katunobu Itou, Tetsuya Ishikawa
2002 arXiv   pre-print
Since users speak contents related to a target collection, we adapt statistical language models used for speech recognition based on the target collection, so as to improve both the recognition and retrieval  ...  Aiming at speech-driven text retrieval, which facilitates retrieving information with spoken queries, we propose a method to integrate speech recognition and retrieval methods.  ...  Acknowledgments The authors would like to thank the National Institute of Informatics for their support with the NTCIR collections.  ... 
arXiv:cs/0206037v1 fatcat:6cifnoknyffdjhzns2r5lu45km

Speech-Driven Text Retrieval: Using Target IR Collections for Statistical Language Model Adaptation in Speech Recognition [chapter]

Atsushi Fujii, Katunobu Itou, Tetsuya Ishikawa
2002 Lecture Notes in Computer Science  
Since users speak contents related to a target collection, we adapt statistical language models used for speech recognition based on the target collection, so as to improve both the recognition and retrieval  ...  Aiming at speech-driven text retrieval, which facilitates retrieving information with spoken queries, we propose a method to integrate speech recognition and retrieval methods.  ...  Acknowledgments The authors would like to thank the National Institute of Informatics for their support with the NTCIR collections.  ... 
doi:10.1007/3-540-45637-6_9 fatcat:622ouy5dhvd2zexa27dtkrzciq

Biomedical Retrieval: How Can a Thesaurus Help? [chapter]

Leonie IJzereef, Jaap Kamps, Maarten de Rijke
2005 Lecture Notes in Computer Science  
Based on our observations, we propose a method for exploiting the MeSH thesaurus to improve retrieval effectiveness and, more specifically, to increase recall.  ...  We study the role of a thesaurus in the biomedical information retrieval process.  ...  Acknowledgments Leonie IJzereef's work was carried out in the context of the Virtual Laboratory for e-Science project (www.vl-e.nl).  ... 
doi:10.1007/11575801_31 fatcat:szkxeugyxvdztfeiz7wv3gat6m

Exploring Clustering Based Knowledge Discovery towards Improved Medical Diagnosis

Rajendra Prasath, Philip O'Reilly
2014 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval  
We use graph based exploration on the terms (diseases) and their relations (in terms of causes/effects) and explore the information geometry pertaining to similar diseases.  ...  The proposed approach looks promising in capturing similar causes and/or effects that pertain to multiple diseases.  ...  Users could search for a specific disease and explore information pertaining to its causes and effects by means of semantically related texts.  ... 
dblp:conf/sigir/PrasathO14 fatcat:3tpte3kfmbhxjape2wlskl63ye

Pseudo Relevance Feedback by linking WordNet for Expanding Queries in Information Retrieval Process

Ramakrishna Kolikipogu, B. Padmaja Rani, N. Swapna
2013 International Journal of Modeling and Optimization  
Vocabulary and Word mismatches are common problems in Information Retrieval Systems. Query Expansion(QE) gives a solution to these problems.  ...  Selection of key terms to expand the root query is a challenging task. Semantic relationships of a particular term in WordNet will improve the performance.  ...  It is expected that using of words from Thesaurus will improve precision, but it may causes some problems in expansion of Queries.  ... 
doi:10.7763/ijmo.2013.v3.321 fatcat:sq4qnf3lhnbnjny7ljvgmystta
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