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Enhancing Keyword Search with a Keyphrase Index
[chapter]
2009
Lecture Notes in Computer Science
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In 2008, we focused on improving the quality of the keyphrase index and finding better ways to use it together with the keyword index even when processing non-phrase queries. ...
Combining evidence of relevance coming from two sourcesa keyword index and a keyphrase index -has been a fundamental part of our INEX-related experiments on XML Retrieval over the past years. ...
The anatomy of a keyphrase index Building a keyphrase index starts from finding or detecting the word sequences that should be considered keyphrases. ...
doi:10.1007/978-3-642-03761-0_7
fatcat:bl7mb5rs6rhpjmxktgpabwsdke
IRNLP@KAIST in Subtask of Research Papers Classification in NTCIR-8
2010
NTCIR Conference on Evaluation of Information Access Technologies
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Our approach is based on retrieving a set of relevant research articles, process their abstracts to expand the query/searched term or phrase. ...
In this paper, we present a novel query expansion approach based on splitting the user query into a set of N-grams, and expanding them separately utilizing a set of research articles. ...
Adding keyphrases to the query enhanced the retrieval and thus classification results on all levels, along with their expansions, they contributed to this enhancement on all levels, negating what have ...
dblp:conf/ntcir/Al-ShboulM10
fatcat:n2kicrbmobcarmewghvj7d6spu
Key Phrase Extraction by Term Clustering using Proposed Graph Based Ranking Model Method
2020
International Journal of Emerging Trends in Engineering Research
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The search engine works on the basis of keyword extraction, such as entering a keyphrase in the search bar and displaying further suggestions in the search bar. ...
Google is modeled to crawl and index the web effectively so that the search results are more satisfied than the already available methods. ...
doi:10.30534/ijeter/2020/18892020
fatcat:6o3hjxcsbjfcvbau5pknewxbm4
A match‐making system for learners and learning objects
2005
Interactive Technology and Smart Education
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The final result is presented as a ranked LO list with a user-specified threshold. ...
Through AgentMatcher's new indexing component, known as Learning Object Metadata Generator (LOMGen), metadata is extracted from HTML LOs for use in CanLOM. ...
This application of AgentMatcher, restricted to the 'Computing' domain in this project, demonstrates enhanced precision achievable relative to standard keyword-based searches. ...
doi:10.1108/17415650580000042
fatcat:oqujo6nh5banhldkd7ny7wwnzm
Keyphrase Generation for Scientific Document Retrieval
[article]
2021
arXiv
pre-print
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2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
unpublished
doi:10.18653/v1/2020.acl-main.105 fatcat:2uxy46ry4ve4rmw5nlrzyafhzu
doi:10.18653/v1/2020.acl-main.105 fatcat:2uxy46ry4ve4rmw5nlrzyafhzu
Using this framework, we point out and discuss the difficulties encountered with supplementing documents with -- not present in text -- keyphrases, and generalizing models across domains. ...
limitations of keyphrase generation models. ...
Documents are indexed with author keywords, same as for participating systems. Results are presented in Table 1 . ...
arXiv:2106.14726v1
fatcat:wlcwarqws5bn3djducrlpd5x5e
Touch scan-n-search
2007
Proceedings of the 2007 ACM symposium on Document engineering - DocEng '07
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Touch Scan-n-Search allows the user to select elements of a scanned document (e.g. a newspaper article) and to seamlessly connect to common web search services in order to retrieve the online version of ...
the document along with related content. ...
The current prototype uses a customised version of KEA, an opensource keyphrase indexing package written in Java [2]. ...
doi:10.1145/1284420.1284448
dblp:conf/doceng/Matulic07
fatcat:aniu2xaqjvg6xi5uil73etviu4
Multiple Domain Answering by Analysing Semantic Relationship in QA Forum
2018
International Journal for Research in Applied Science and Engineering Technology
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We have constructed machine learning models which build an index for every keyword. Firstly, the keyword is allowed for stemming process that eliminates the stop words in the sentences. ...
and spoken search. ...
The goal is to train a classifier on documents annotated with keyphrases to determine whether a candidate phrase is a keyphrase. ...
doi:10.22214/ijraset.2018.2001
fatcat:xowfhw5ojzb2xjlukqjetvwvry
Natural-language retrieval of images based on descriptive captions
1996
ACM Transactions on Information Systems
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To improve system efficiency, we first perform a coarse-grain match with index files, using nouns and verbs extracted from the query. ...
In keyword approaches, the user is often required to remember the valid words (i.e., keywords), how these keywords correlate with the concepts that he or she wishes to find, and how the keywords may be ...
The first phase is an enhanced keyword search referred to as the coarsegrain match. ...
doi:10.1145/230538.230539
fatcat:bo3xayly6nfj7lnsj5nyyyxt5m
Entity Tracking in Real-Time Using Sub-topic Detection on Twitter
[chapter]
2014
Lecture Notes in Computer Science
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In the first approach, we generate a semantic space representation for each tweet by keyword expansion and keyphrase identification. ...
The velocity, volume and variety with which Twitter generates text is increasing exponentially. ...
Each cluster is stored along with its keywords and keyphrases in the index. In the online phase, we process each new tweet t by first extracting its keywords and keyphrases. ...
doi:10.1007/978-3-319-06028-6_52
fatcat:kunpacwinbg4jaerwzkyif72h4
Bringing Order to Digital Libraries: From Keyphrase Extraction to Index Term Assignment
2013
D-Lib Magazine
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Keywords: Keyphrase, Keyphrase Extraction, Automatic Index Term Assignment, Multi-label Classification 1. ...
Keyphrases are
a good means for searching a huge document collection. ...
doi:10.1045/september2013-erbs
fatcat:hm2lmbajmzfxhdnebu64del3he
Keyphrase Extraction Model: A New Design and Application on Tourism Information
2021
Informatica (Ljubljana, Tiskana izd.)
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From that context, in this paper, a keyphrase extraction model was formulated in terms of Natural Language Processing, applied explicitly in extracting information and searching techniques in tourism. ...
Keyphrase extraction has recently become a foundation for developing digital library applications, especially in semantic information retrieval techniques. ...
In essence, Apache's Lucene -a full-text search -uses a data structure called an inverted index to perform searches with high performance. ...
doi:10.31449/inf.v45i4.3493
fatcat:apxa6wqqjbarfmodbvtgf7t2fm
Keyword and Keyphrase Extraction Techniques: A Literature Review
2015
International Journal of Computer Applications
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In this paper we present a survey of various techniques available in text mining for keyword and keyphrase extraction. ...
Keywords and keyphrases are set of representative words of a document that give high-level specification of the content for interested readers. ...
Cohen proposed an approach to draw index terms from text [4] . ...
doi:10.5120/19161-0607
fatcat:xyr6gtt2anhkzntxvbaayod2ci
A Distributed Framework for NLP-Based Keyword and Keyphrase Extraction From Web Pages and Documents
2015
Proceedings of the 21st International Conference on Distributed Multimedia Systems
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This paper presents a distributed framework for executing NLP related tasks in a parallel environment. ...
The proposed framework has been evaluated against a real corpus of web pages and documents. ...
Finally, the Apache Solr 9 technology is used to index all the collected documents, providing also a search interface. The Solr index is ultimately present only onto the master Namenode.
B. ...
doi:10.18293/dms2015-024
dblp:conf/dms/NesiPS15
fatcat:ieenhxagojenfdivup23wt42h4
Extraction of Keyphrases from Text: Evaluation of Four Algorithms
[article]
2002
arXiv
pre-print
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For each document, we have a target set of keyphrases, which were generated by hand. ...
For all five document collections, NRC's Extractor yields the best match with the manually generated keyphrases. ...
Thus a keyphrase index can be browsed, whereas a full-text index can only be searched. ...
arXiv:cs/0212014v1
fatcat:zvwb4m3vr5d7bkmwkjqpjspzhm
Heterogeneous Graph Neural Networks for Keyphrase Generation
[article]
2021
arXiv
pre-print
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Our model first retrieves some document-keyphrases pairs similar to the source document from a pre-defined index as references. ...
The experimental results on multiple KG benchmarks show that the proposed model achieves significant improvements against other baseline models, especially with regard to the absent keyphrase prediction ...
During testing, we use greedy search for ONE2SEQ, and beam search with a maximum depth of 6 and a beam size of 200 for ONE2ONE. ...
arXiv:2109.04703v1
fatcat:65bkdrsm6jen7jntrmy7y2hbce
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