Opendata, web and dolomites

MOUSSE SIGNED

Multilingual, Open-text Unified Syntax-independent SEmantics

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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Project "MOUSSE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA 

Organization address
address: Piazzale Aldo Moro 5
city: ROMA
postcode: 185
website: www.uniroma1.it

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Total cost 1˙497˙250 €
 EC max contribution 1˙497˙250 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-06-01   to  2022-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA IT (ROMA) coordinator 1˙497˙250.00

Map

 Project objective

The exponential growth of the Web is resulting in vast amounts of online content. However, the information expressed therein is not at easy reach: what we typically browse is only an infinitesimal part of the Web. And even if we had time to read all the Web we could not understand it, as most of it is written in languages we do not speak. Computers, instead, have the power to process the entire Web. But, in order to ”read” it, that is perform machine reading, they still have to face the hard problem of Natural Language Understanding, i.e., automatically making sense of human language. To tackle this long-lasting challenge in Natural Language Processing (NLP), the task of semantic parsing has recently gained popularity. This aims at creating structured representations of meaning for an input text. However, current semantic parsers require supervision, binding them to the language of interest and hindering their extension to multiple languages. Here we propose a research program to investigate radically new directions for enabling multilingual semantic parsing, without the heavy requirement of annotating training data for each new language. The key intuitions of our proposal are treating multilinguality as a resource rather than an obstacle and embracing the knowledge-based paradigm which allows supervision in the machine learning sense to be replaced with efficacious use of lexical knowledge resources. In stage 1 of the project we will acquire a huge network of language-independent, structured semantic representations of sentences. In stage 2, we will leverage this resource to develop innovative algorithms that perform semantic parsing in any language. These two stages are mutually beneficial, progressively enriching less-resourced languages and contributing towards leveling the playing field for all languages. Enabling Natural Language Understanding across languages should have an impact on NLP and other areas of AI, plus a societal impact on language learners.

 Publications

year authors and title journal last update
List of publications.
2019 Ignacio Iacobacci, Roberto Navigli
LSTMEmbed: Learning Word and Sense Representations from a Large Semantically Annotated Corpus with Long Short-Term Memories
published pages: 1685-1695, ISSN: , DOI: 10.18653/v1/p19-1165
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics 2020-02-06
2019 Michele Bevilacqua, Roberto Navigli
Quasi Bidirectional Encoder Representations from Transformers for Word Sense Disambiguation
published pages: 122-131, ISSN: , DOI:
Proceedings of the 2019 Conference on Recent Advances in Natural Language Processing (RANLP 2019) 2020-02-05
2019 Bianca Scarlini, Tommaso Pasini, Roberto Navigli
Just “OneSeC” for Producing Multilingual Sense-Annotated Data
published pages: 699-709, ISSN: , DOI: 10.18653/v1/p19-1069
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics 2020-02-05
2019 Marco Maru, Federico Scozzafava, Federico Martelli, Roberto Navigli
SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations
published pages: 3532-3538, ISSN: , DOI: 10.18653/v1/d19-1359
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 2020-02-04
2019 Andrea Di Fabio, Simone Conia, Roberto Navigli
VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling
published pages: 627-637, ISSN: , DOI: 10.18653/v1/d19-1058
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) 2020-01-30
2018 Pasini, Tommaso; Elia, Francesco Maria; Navigli, Roberto
Huge Automatically Extracted Training Sets for Multilingual Word Sense Disambiguation
published pages: 1694-1698, ISSN: , DOI:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018) 2019-02-28
2018 Tommaso Pasini, Roberto Navigli
Two Knowledge-based Methods for High-Performance Sense Distribution Learning
published pages: 5374-5381, ISSN: , DOI:
Proceedings of The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) 2019-02-28
2017 Massimiliano Mancini, Jose Camacho-Collados, Ignacio Iacobacci and Roberto Navigli
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
published pages: 100-111, ISSN: , DOI:
Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) 2019-02-28
2017 Pasini, Tommaso; Navigli, Roberto
Train-O-Matic: Large-Scale Supervised Word Sense Disambiguation in Multiple Languages without Manual Training Data
published pages: , ISSN: , DOI: 10.18653/v1/d17-1008
Proceedings of Empirical Methods in Natural Language Processing (EMNLP 2017) 2019-02-28
2017 Alessandro Raganato, Claudio Delli Bovi, Roberto Navigli
Neural Sequence Learning Models for Word Sense Disambiguation
published pages: 1156-1167, ISSN: , DOI:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP 2017) 2019-02-28
2017 Claudio Delli Bovi, José Camacho-Collados, Alessandro Raganato, Roberto Navigli
EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text
published pages: 594-600, ISSN: , DOI:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics 2019-02-28
2017 Mohammad Taher Pilehvar, Jose Camacho-Collados, Roberto Navigli, Nigel Collier
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
published pages: 1857-1869, ISSN: , DOI: 10.18653/v1/P17-1170
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) 2019-02-28

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