1282 0 P clue/ lexical class from Weka computer Web Service SOAPSoaplab

Specified Name (from WSDL): AnalysisServiceService |

aka compute_p_cue_class_from_weka Add_annotation_inactive

Categories:

Statistics Analysis

Languages:

Language Independent

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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/statistics_analysis.compute_p_cue_class_from_weka

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

Run it online!!

Documentation URL(s):

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Muntsa Padró (over 12 years ago)

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

Description(s):

Muntsa Padró (over 12 years ago)

Given a training set encoded as vectors of cue (or feature) occurrences in weka format, this web service computes P(cuei|class): the probability of seeing each cue as a member or non-member of the class using MLE approach (counts frequencies of appearance of each cue in each class).

Inputs:
- weka_signatures: classified instances encoded as cue vectors. Each slot of the vector contains the number of times each feature has been observed for that instance. Also, we add special slots: total number of occurrences in the first slot and correct class (1 or 0) and lemma (or any identifier of the instance) in the two last slots. The vectors should be encoded in a weka file, in UTF.8. The cue counts must be encoded as integers, this is, no relative frequency needs to be given but the number of times each cue has been seen. For example, for the class of eventive nouns in English we would have some examples of eventive nouns and some of non-eventive nouns:

@relation eventive.arff'
@attribute "[total_occurences]" numeric
@attribute "[cue_1]" numeric
@attribute "[cue_2]" numeric
…
@attribute "[cue_n]" numeric
@attribute "[eventive]" {0,1}
@attribute "[lemma]" string

@data
5,0,0,…,3,0,visa
386,0,1,…,162,0,characteristic
23,1,0,… ,0,1,ceremony
270,0,2,…,0,1,assembly

Outputs:
The output is a comma separated file with the frequencies each cue has been observed with members and non-members of the class. Also, information about the number of tokens in each class is given. Example:

#cue;data size class;data p class;data size no class;data p no class; cue_1;1301732;0.000883438372876;1516522;0.00137419701132; cue_2;1301732;0.000520076329075;1516522;0.000600716639785;
...
cue_n;1301732;0.0243222107162;1516522;0.0177992801951;

Details (from Soaplab server):

from

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Soaplab server (over 10 years ago)

ds_lsr_analysis :

analysis :

type : Statistics_Analysis
analysis_extension :

name : compute_p_cue_class_from_weka
input :
description : calculate P(cue|class): probability of seeing a linguistic cue given a lexical class.
This probability is computed given the occurrences of cues in a corpus and the information of belonging or not belonging of these words to different classes. This data is encoded in a weka file
installation : Soaplab2 default installation
output :

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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)

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}
}

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Part of Service: P clue/ lexical class from Weka computer Web Service