Scipediacontent: Scipediacontent moved page Draft Content 485151676 to Serra et al 2017a

2021-02-03T16:16:16Z

Scipediacontent moved page Draft Content 485151676 to Serra et al 2017a

Scipediacontent: Created page with " == Abstract == This paper evaluates different techniques for building a supervised, multilanguage keyphrase extraction pipeline for languages which lack a gold standard. Sta..."

2021-02-03T16:16:13Z

Created page with " == Abstract == This paper evaluates different techniques for building a supervised, multilanguage keyphrase extraction pipeline for languages which lack a gold standard. Sta..."

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== Abstract ==

This paper evaluates different techniques for building a supervised, multilanguage keyphrase extraction pipeline for languages which lack a gold standard. Starting from an unsupervised English keyphrase extraction pipeline, we implement pipelines for Arabic, Italian, Portuguese, and Romanian, and we build test collections for languages which lack one. Then, we add a Machine Learning module trained on a well-known English language corpus and we evaluate the performance not only over English but on the other languages as well. Finally, we repeat the same evaluation after training the pipeline over an Arabic language corpus to check whether using a language-specific corpus brings a further improvement in performance. On the five languages we analyzed, results show an improvement in performance when using a machine learning algorithm, even if such algorithm is not trained and tested on the same language.

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.26615/978-954-452-049-6_012 http://dx.doi.org/10.26615/978-954-452-049-6_012]

* [https://doi.org/10.26615/978-954-452-049-6_012 https://doi.org/10.26615/978-954-452-049-6_012]

* [https://dblp.uni-trier.de/db/conf/ranlp/ranlp2017.html#BasaldellaHAPST17 https://dblp.uni-trier.de/db/conf/ranlp/ranlp2017.html#BasaldellaHAPST17],
: [https://www.acl-bg.org/proceedings/2017/RANLP%202017/pdf/RANLP012.pdf https://www.acl-bg.org/proceedings/2017/RANLP%202017/pdf/RANLP012.pdf],
: [http://www.acl-bg.org/proceedings/2017/RANLP%202017/pdf/RANLP012.pdf http://www.acl-bg.org/proceedings/2017/RANLP%202017/pdf/RANLP012.pdf],
: [https://www.aclweb.org/anthology/R17-1012 https://www.aclweb.org/anthology/R17-1012],
: [https://doi.org/10.26615/978-954-452-049-6_012 https://doi.org/10.26615/978-954-452-049-6_012],
: [https://core.ac.uk/display/154286234 https://core.ac.uk/display/154286234],
: [https://academic.microsoft.com/#/detail/2771552299 https://academic.microsoft.com/#/detail/2771552299]

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Serra et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 485151676 to Serra et al 2017a

Scipediacontent: Created page with " == Abstract == This paper evaluates different techniques for building a supervised, multilanguage keyphrase extraction pipeline for languages which lack a gold standard. Sta..."