952 0 Location nouns classifier Web Service SOAPSoaplab

Specified Name (from WSDL): AnalysisServiceService |

aka dt_noun_classifier_location Add_annotation_inactive

Categories:

Lexicon/Terminology Extraction

Languages:

View the comments on this service

Overview

This looks like a Soaplab service. Click here for more info and guidance on how to use this service

Provider:
Universitat Pompeu Fabra (UPF)

Location:
SPAIN

Submitter / Source:
Marc Poch Riera (over 12 years ago)

Base URL:
http://ws03.iula.upf.edu/soaplab2-axis/services/lexicon_terminology_extraction.dt_noun_classifier_location

WSDL Location:
http://ws03.iula.upf.edu/soaplab2-axis/services/lexicon_terminology_extraction.dt_noun_classifier_location?wsdl (download last cached WSDL file)

Run it online!!

Documentation URL(s):

header=[] body=[Member] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200]

Muntsa Padró (over 12 years ago)

http://ws02.iula.upf.edu/panacea/documentation/ws03/WS_dt_noun_classifier.pdf

Muntsa Padró (over 11 years ago)

About output format: http://myexperiment.elda.org/files/11/download/TO_definition_for_PANACEA_Lexica.pdf

Description(s):

Muntsa Padró (over 12 years ago)

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, LOCATION class. 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.

silvia.arano (over 11 years ago)

This WS identifies location 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.

Details (from Soaplab server):

from

header=[] body=[Provider's description doc] cssheader=[boxoverTooltipHeader] cssbody=[boxoverTooltipBody] delay=[200]

Soaplab server (over 10 years ago)

ds_lsr_analysis :

analysis :

type : Lexicon_Terminology_Extraction
analysis_extension :

name : dt_noun_classifier_location
input :
description : cat: classifica usant un Decision Tree tots els noms d'un corpus, o una llista donada de noms, com a membres o no membres de la classe LOCATION.
es: classifica con un Decision Tree todos los nombres de un corpus, o una lista dada de nombres, como miembros o no miembros de la clase LOCATION.
en: classify with a Decision Tree all nouns in corpus or a given list of nouns, as members or non-members of LOCATION class.
installation : Soaplab2 default installation
output :

Show all

ds_lsr_analysis :

analysis :

type : Lexicon_Terminology_Extraction
analysis_extension :

option :
- type : normal
- name : emboss
- value : false
- type : normal
- name : installation
- value : Soaplab2 default installation
event :

id : _E_1
action :

app_info :

category : lexicon_terminology_extraction

parameter :
- base :
- data :
- standard :
- base :
- standard :
- base :
- base :
- data :
- base :
- data :
- base :
- data :
- base :
- standard :
- base :
- base :
- range :
- standard :
- base :
- base :
- data :

name : dt_noun_classifier_location
input :
- type : boolean
- name : inputIsURLlist
- default : false
- mandatory : false
description : cat: classifica usant un Decision Tree tots els noms d'un corpus, o una llista donada de noms, com a membres o no membres de la classe LOCATION.
es: classifica con un Decision Tree todos los nombres de un corpus, o una lista dada de nombres, como miembros o no miembros de la clase LOCATION.
en: classify with a Decision Tree all nouns in corpus or a given list of nouns, as members or non-members of LOCATION class.
installation : Soaplab2 default installation
output :

License(s): Info

None

Cost:

Santi (over 11 years ago)

This Web Service is free for research use. It was developed in the framework of the PANACEA project, funded by the European Union Language Technologies Area, Information and Communication Technologies, of the 7th Framework Programme (7FP-ITC-248064).

Usage Conditions: Info

Santi (over 11 years ago)

These Terms and Conditions of Service will apply to your use of this web-service and by using the web-service, you are agreeing to these Terms and Conditions of Service.

(a) Authorized Users: users affiliated with a research or non-profit educational institution.

(b) Authorized Use: Restricted to use for research or educational purposes. You should have the right to legally use the “Input data” to the web service and hence acquire all rights to the output data.

(c) Prohibited use: commercial purposes, including charging a fee-for-service; it is also prohibited to use input data for which you did not obtain the necessary rights.

(d) Warranty; Disclaimers: authorized Users recognize that IULA is an aggregator of third-party web services. This web-service owner warrants that to its knowledge use of the web service in accordance with the terms of this document will not infringe the copyright of any third party.

(e) Liability: The web service and IULA will not be liable, and Users agree that they will not hold IULA or the web service liable for any loss, injury, claim, liability, damages, costs, and/or attorneys fees of any kind that result from the use of this web service.

Contact Info: Info

Santi (over 11 years ago)

UPF

Santi (over 11 years ago)

iulatrl@upf.edu

Publications: Info

silvia.arano (over 11 years ago)

http://hdl.handle.net/10230/20420

Citations: Info

silvia.arano (over 11 years ago)

@inproceedings{bel_automatic_2012,
address = {Paris},
title = {Automatic Lexical Semantic Classification of Nouns},
url = {http://hdl.handle.net/10230/20420},
booktitle = {Calzolari N, Choukri K, Declerck T (et al.), editors. Proceedings of the Eight International Conference on Language Resources and Evaluation ({LREC'12);} 2012 May 23-25; Istanbul, Turkey.},
publisher = {European Language Resources Association},
author = {Bel, Núria and Romeo, Lauren and Padró, Muntsa},
year = {2012},
pages = {1448--1455}
}

Tags (5)

Ratings by Members (0)

	Average	Your Rating
Documentation	Currently 0.0/5 Stars. (0)	--

Info Favourited By (0)

No one

Info Similar Services (16)

Show all Show top 10 only

SOAP Operations (23)

These are the SOAP operations available for the SOAP variant of this service. Click on each one to get more information and to annotate.

createAndRun

1 input | 1 output

Part of Service: Location nouns classifier Web Service