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examples
lib
pkg/feature
sg/edu/nus/comp/nlp/ims
README.md
all-words.dtd
coarse-all-words.dtd
ims_embed.jar
lexical-sample.dtd
lexsub.dtd
testFine.bash
test_one.bash
train_one.bash

README.md

IMS EMBED

https://github.com/iiacobac/ims_wsd_emb

Setup

  • the file prop.xml should be completed wiht
	<param name="dictionary_path" value="/path/to/dict"/>
  • The files testFine.bash, test_one.bash, train_one.bash should be modified with the chosen parameters
	<embeddingsPath> : path/to/embeddings
	<WindowsSize> : tipically 10. Experiments made also with 5 and 20.
	<Strategy CON, AVG, FRA, EXP> : Integration strategy, best results with FRA and EXP.

Requirements

Java 1.8

Reference

Main paper to be cited

@InProceedings{iiacobac-evaluation:2016:,
  author    = {I. Iacobacci, M. T. Pilehvar and R. Navigli.},
  title     = {Embeddings for Word Sense Disambiguation: An Evaluation Study},
  year      = {ACL 2016},
}

============================================

This software is based in IMS (It Makes Sense)

IMS (It Makes Sense) -- NUS WSD system
Copyright (c) 2010 National University of Singapore.

Zhong, Zhi and Ng, Hwee Tou. 2010. It Makes Sense: A Wide-Coverage Word Sense Disambiguation System for Free Text. In Proceedings of the ACL 2010 System Demonstrations, pages 78--83, Uppsala,

Support

For more information, bug reports, fixes, please contact:

Ignacio Iacobacci
Department of Computer Science
Viale Regina Elena 295b
Sapienza University of Rome
Rome, Italy
iacobacci[at]di[dot]uniroma1[dot]it
http://iiacobac.wordpress.com/

License

IMS EMBED is an output of the MultiJEDI ERC Starting Grant No. 259234.
IMS EMBED is licensed under a Creative Commons Attribution - Noncommercial - Share Alike 3.0 License.