sunnyminer / automatickeyphraseextraction Goto Github PK
View Code? Open in Web Editor NEWThis project forked from snkim/automatickeyphraseextraction
Data for Automatic Keyphrase Extraction Task
Home Page: www.csse.unimelb.edu.au/~snkim
This project forked from snkim/automatickeyphraseextraction
Data for Automatic Keyphrase Extraction Task
Home Page: www.csse.unimelb.edu.au/~snkim
DESCRIPTION This repository contains the datasets for automatic keyphrase extraction task. FILES * 500N-KPCrowd.zip data from Marujo:LREC2012 (News articles annotated using AMT) * 110-PT-BN-KP.zip data from Marujo:Interspeech2011 (non-English AKE corpus) * MAUI.tar.gz data from University of Waikato (KEA, MAUI systems) * Wan2008.tar.gz data from Wan:2008 * Schutz2008.tar.gz data from Schutz:2008 (only answer sets and readme are provided. the papers are available at ftp://ftp.ncbi.nlm.nih.gov/pub/pmc/articles.tar.gz) * Nguyen2007.zip data from Nguyen:2007 * Hulth2003.tar.gz data from Hulth:2003 BIBLIOGRAPHY @InProceedings{Marujo:LREC2012, Author = {Luis Marujo and Anatole Gershman and Jaime Carbonell and Robert Frederking and Jo\~{a}o P. Neto}, Booktitle = {Proceedings of LREC 2012}, Title = {Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization}, location = {Istanbul, Turkey}, publisher = {ELRA}, Year = {2012} } @InProceedings{Marujo:Interspeech2011, author = {Luis Marujo and M\'{a}rcio Viveiros and Jo\~{a}o P. Neto}, title = {{Keyphrase Cloud Generation of Broadcast News}}, booktitle = {Proceedings of Interspeech 2011}, publisher = {ISCA}, location = {Florence, Italy}, year = {2011}, month = {September} } @InProceedings{Wan:2008, author = {Xiaojun Wan and Jianguo Xiao}, title = {CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction}, booktitle = {Proceedings of 22nd International Conference on Computational Linguistics}, year = {2008}, address = {Manchester, UK}, pages = {969--976} } @MasterThesis{Schutz:2008, author = {Alexander Thorsten Schutz}, title = {Keyphrase Extraction from Single Documents in the Open Domain Exploiting Linguistic and Statistical Methods}, booktitle = {National University of Ireland}, year = {2008} } @InProceedings{Nguyen:2007, author = {Thuy Dung Nguyen and Min-Yen Kan}, title = {Key phrase Extraction in Scientific Publications}, booktitle = {Proceeding of International Conference on Asian Digital Libraries}, year = {2007}, pages = {317--326} } @InProceedings{Medelyan:2006, author = {Olena Medelyan and Ian Witten}, title = {Thesaurus based automatic keyphrase indexing}, booktitle = {Proceedings of the 6th ACM/IEED-CS joint conference on Digital libraries}, year = {2002}, pages = {296--297} } @InProceedings{Hulth:2003, author = {Anette Hulth}, title = {Improved automatic keyword extraction given more linguistic knowledge}, booktitle = {Proceedings of the 2003 conference on Empirical methods in natural language processing}, year = {2003}, pages = {216--223} } @InProceedings{Frank:1999, author = {Eibe Frank and Gordon W. Paynter and Ian H. Witten and Carl Gutwin and Craig G. Nevill-manning}, title = {Domain Specific Keyphrase Extraction}, booktitle = {Proceedings of the 16th International Joint Conference on AI}, year = {1999}, pages = {668--673} } @InProceedings{Witten:1999, author = {Ian Witten and Gordon Paynter and Eibe Frank and Car Gutwin and Graig Nevill-Manning}, title = {KEA:Practical Automatic Key phrase Extraction}, booktitle = {Proceedings of the fourth ACM conference on Digital libraries}, year = {1999}, pages = {254--256} } CONTACT If you have a dataset for automatic keyphrase extraction task and want to share it with others, please contact me for commit rights.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.