@inproceedings{dellorletta-etal-2014-t2k,
title = "{T}2{K}{\textasciicircum}2: a System for Automatically Extracting and Organizing Knowledge from Texts",
author = "Dell{'}Orletta, Felice and
Venturi, Giulia and
Cimino, Andrea and
Montemagni, Simonetta",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/590_Paper.pdf",
pages = "2062--2070",
abstract = "In this paper, we present T2K{\textasciicircum}2, a suite of tools for automatically extracting domain―specific knowledge from collections of Italian and English texts. T2K{\textasciicircum}2 (Text―To―Knowledge v2) relies on a battery of tools for Natural Language Processing (NLP), statistical text analysis and machine learning which are dynamically integrated to provide an accurate and incremental representation of the content of vast repositories of unstructured documents. Extracted knowledge ranges from domain―specific entities and named entities to the relations connecting them and can be used for indexing document collections with respect to different information types. T2K{\textasciicircum}2 also includes linguistic profiling functionalities aimed at supporting the user in constructing the acquisition corpus, e.g. in selecting texts belonging to the same genre or characterized by the same degree of specialization or in monitoring the added value of newly inserted documents. T2K{\textasciicircum}2 is a web application which can be accessed from any browser through a personal account which has been tested in a wide range of domains.",
}
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<abstract>In this paper, we present T2K⌃2, a suite of tools for automatically extracting domain―specific knowledge from collections of Italian and English texts. T2K⌃2 (Text―To―Knowledge v2) relies on a battery of tools for Natural Language Processing (NLP), statistical text analysis and machine learning which are dynamically integrated to provide an accurate and incremental representation of the content of vast repositories of unstructured documents. Extracted knowledge ranges from domain―specific entities and named entities to the relations connecting them and can be used for indexing document collections with respect to different information types. T2K⌃2 also includes linguistic profiling functionalities aimed at supporting the user in constructing the acquisition corpus, e.g. in selecting texts belonging to the same genre or characterized by the same degree of specialization or in monitoring the added value of newly inserted documents. T2K⌃2 is a web application which can be accessed from any browser through a personal account which has been tested in a wide range of domains.</abstract>
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%0 Conference Proceedings
%T T2K⌃2: a System for Automatically Extracting and Organizing Knowledge from Texts
%A Dell’Orletta, Felice
%A Venturi, Giulia
%A Cimino, Andrea
%A Montemagni, Simonetta
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F dellorletta-etal-2014-t2k
%X In this paper, we present T2K⌃2, a suite of tools for automatically extracting domain―specific knowledge from collections of Italian and English texts. T2K⌃2 (Text―To―Knowledge v2) relies on a battery of tools for Natural Language Processing (NLP), statistical text analysis and machine learning which are dynamically integrated to provide an accurate and incremental representation of the content of vast repositories of unstructured documents. Extracted knowledge ranges from domain―specific entities and named entities to the relations connecting them and can be used for indexing document collections with respect to different information types. T2K⌃2 also includes linguistic profiling functionalities aimed at supporting the user in constructing the acquisition corpus, e.g. in selecting texts belonging to the same genre or characterized by the same degree of specialization or in monitoring the added value of newly inserted documents. T2K⌃2 is a web application which can be accessed from any browser through a personal account which has been tested in a wide range of domains.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/590_Paper.pdf
%P 2062-2070
Markdown (Informal)
[T2K^2: a System for Automatically Extracting and Organizing Knowledge from Texts](http://www.lrec-conf.org/proceedings/lrec2014/pdf/590_Paper.pdf) (Dell’Orletta et al., LREC 2014)
ACL