OLAC Record oai:iula.upf.edu:227

Metadata
Title:		Service - Eventive nouns classifier Web Service
Alternative Title:		Eventive nouns classifier Web Service
Creator:		Universitat Pompeu Fabra (UPF)
Date:		2012-04-20T08:45:39Z
Description:		Given a part of speech tagged text, this webservice performs the classification of nouns as belonging or not belonging to the given class, in this case, EVENTIVE nouns. You will find one classifier for each available class. It uses a pre-trained Decision Tree. The ouptut is a LMF file with the classifier prediction for each noun. You can choose to have this prediction as: - "scored": each noun gets a score of being or not being a member of the class (bigger than 0 means class member, smaller, non member of the class) - "filtered": the nouns are filtered according to their score. If the score is positive and over a determined threshold the noun is considered to be a member of the class. If it is negative and under another threshold, it is considered to be a non-member of the class. The other cases are tagged as "unknown", since the classifier did not give enough confidence to their classification. The used thresholds are pre-set according to some experiments, if you want to use your own thresholds, you should get the "scored" output and use the "filter" webservice to filter it with your thresholds.This WS identifies eventive nouns in a part of speech tagged text (with FreeLing Morphosyntactic tagger V 3.0 WS). The classification is performed with a pre-trained Decision Tree. The output is a LMF file with the classifier prediction for each noun. You can choose to have this prediction as: - "scored": each noun gets a score of being or not being a member of the class (bigger than 0 means class member, smaller, non member of the class) - "filtered": the nouns are filtered according to their score. If the score is positive and over a determined threshold the noun is considered to be a member of the class. If it is negative and under another threshold, it is considered to be a non-member of the class. The other cases are tagged as "unknown", since the classifier did not give enough confidence to their classification. The used thresholds are pre-set according to some experiments, if you want to use your own thresholds, you should get the "scored" output and use the "filter" webservice to filter it with your thresholds. The languages supported are Spanish and English.
		End point: http://ws03.iula.upf.edu/soaplab2-axis/services/lexicon_terminology_extraction.dt_noun_classifier_eventive. WSDL file: http://ws03.iula.upf.edu/soaplab2-axis/services/lexicon_terminology_extraction.dt_noun_classifier_eventive?wsdl.
Identifier:		http://services.iula.upf.edu/services/227
Publisher:		Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA)
Subject:		NLP service, Lexicon/Terminology Extraction,
		SOAP, Soaplab,
Type (DCMI):		Service
OLAC Info
Archive:		IULA UPF OAI Archive
Description:		http://www.language-archives.org/archive/iula.upf.edu
GetRecord:		OAI-PMH request for OLAC format
GetRecord:		Pre-generated XML file
OAI Info
OaiIdentifier:		oai:iula.upf.edu:227
DateStamp:		2019-09-25
GetRecord:		OAI-PMH request for simple DC format
Search Info
Citation:		Universitat Pompeu Fabra (UPF). 2012-04-20T08:45:39Z. Universitat Pompeu Fabra. Institut Universitari de Lingüística Aplicada (IULA).
Terms:		dcmi_Service