NCA 2015 - 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction

ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction
Beijing, China, July 30, 2015
Website: http://www.cse.unt.edu/~ccaragea/acl2015ws.html
Important Dates
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Submission Due: May 14, 2015
Author Notification: June 4, 2015
Camera-ready Due: June 21, 2015
All accepted papers will be published on ACLWeb and distributed as part of ACL 2015 proceedings.
Introduction
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The current-day Web provides access to enormous amounts of textual data. A wealth of news articles,
weblogs, customer reviews, forum threads, scientific documents, and social media data are now being rapidly made available online.
These rapidly-growing online documents offer several benefits for discovery, learning, and staying informed. However, data mining
applications are now faced with the challenge of efficiently processing more documents in less time.
One approach that has been previously adopted to handle this challenge is through the use of "document summaries" or "key parts of a document"
in lieu of entire documents. However, document summaries are not available directly and instead,
they need to be gleaned from the many details in documents.
Keyphrases of a document are considered
a "micro summary" for a document and comprise the descriptive phrases or concepts extracted from a document. Keyphrases
are used in a multitude of applications such as query formulation, document clustering, recommendation,
and summarization, indexing, search and retrieval, tracking topics in newswire,
linking Web documents to Wikipedia articles, recommending academic paper, and online advertising.
Topics of Interest
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We call for papers describing novel approaches that can improve the keyphrase extraction task as well
as domain-specific applications involving the use of keyphrases. We aim to bring together researchers
addressing a wide-range of questions pertaining to keyphrases. These questions include, but are not limited to:
--What constitutes a "good" keyphrase for a domain/application and how can domain/application-specific knowledge be incorporated into keyphrase extraction models?
--Is there value to incorporating external knowledge into the extraction process? For example, to what extent, public resources such as Wikipedia, DBpedia
and web-based metrics can be used to improve the quality of keyphrases?
--Can we genereate "multi-document keyphrases" similar to "multi-document summaries"?
--Given a set of keyphrases for a domain-specific collection, how can one build an ontology/taxonomy from this set?
--What keyphrase extraction techniques can be used for user-generated content from specific Web 2.0 applications?
--What kind of data mining applications benefit from keyphrases? What is the efficiency-accuracy trade-off in considering keyphrases
in lieu of the entire document content while processing Big Data?
--How do existing keyphrase extraction techniques work on user-generated content (UGC) from blogs and reviews? Can user information, user-document,
and document-document linkage be used to improve keyphrase extraction in these scenarios?
Submission Information
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We solicit original papers that have not been submitted to or published in other
workshops, conferences, or journals. The submissions must not exceed six pages including references and
must be in PDF format, written in English, and formatted according to the ACL style files (linked to at http://acl2015.org/call_for_papers.html).
Each paper will be (blind) reviewed by at least three Program Committee members.
At least one author of each accepted papers must present their work at the workshop.
Submissions are to be made using the START account at:
https://www.softconf.com/acl2015/Keyphrase.
Organizing Committee
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1. Sujatha Das Gollapalli, Institute for Infocomm Research, A*STAR, Singapore
2. Cornelia Caragea, University of North Texas, USA
3. C. Lee Giles, The Pennsylvania State University, USA
4. Xiaoli Li, Institute for Infocomm Research, A*STAR, Singapore
Program Committee
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-Marina Danilevsky, IBM
-Fei Liu, CMU
-Doina Caragea, KSU
-Rada Mihalcea, University of Michigan
-Shibamouli Lahiri, University of Michigan
-Saurabh Kataria, Xerox labs
-Ani Nenkova, University of Pennsylvania
-Kazi Hasan, IBM
-Yang Song, MSR
-Olena Medelyan, Entopix
-Min-Yen Kan, National University of Singapore
-Feifan Liu, Nuance Inc.
-Niket Tandon, Max-Planck-Institut für Informatik
-Dayu Yuan, Google
-Joao Paulo Bartolo Gomes, A*STAR
-Preslav Nakov, QCRI
-Fang Yuan, A*STAR
-Pucktada Treeratpituk