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Enhancing Keyword Search with a Keyphrase Index [chapter]

Miro Lehtonen, Antoine Doucet
2009 Lecture Notes in Computer Science  
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

Bashar Al-Shboul, Sung-Hyon Myaeng
2010 NTCIR Conference on Evaluation of Information Access Technologies  
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  
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

Harold Boley, Virendrakumar C. Bhavsar, David Hirtle, Anurag Singh, Zhongwei Sun, Lu Yang
2005 Interactive Technology and Smart Education  
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]

Florian Boudin, Ygor Gallina, Akiko Aizawa
2021 arXiv   pre-print
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

Fabrice Matulic
2007 Proceedings of the 2007 ACM symposium on Document engineering - DocEng '07  
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

J. Johnson Rajasingh
2018 International Journal for Research in Applied Science and Engineering Technology  
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

Eugene J. Guglielmo, Neil C. Rowe
1996 ACM Transactions on Information Systems  
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]

Sandeep Panem, Romil Bansal, Manish Gupta, Vasudeva Varma
2014 Lecture Notes in Computer Science  
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

Nicolai Erbs, Iryna Gurevych, Marc Rittberger
2013 D-Lib Magazine  
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

Hien Ngo Le Huy, Hoang Ho Minh, Tien Nguyen Van, Hieu Nguyen Van
2021 Informatica (Ljubljana, Tiskana izd.)  
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

Sifatullah Siddiqi, Aditi Sharan
2015 International Journal of Computer Applications  
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

Paolo Nesi, Gianni Pantaleo, Gianmarco Sanesi
2015 Proceedings of the 21st International Conference on Distributed Multimedia Systems  
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]

Peter D. Turney
2002 arXiv   pre-print
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]

Jiacheng Ye, Ruijian Cai, Tao Gui, Qi Zhang
2021 arXiv   pre-print
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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