Multilingual, Open-text Unified Syntax-independent SEmantics

Projektinformationen

MOUSSE

ID Finanzhilfevereinbarung: 726487

DOI 10.3030/726487

Abgeschlossenes Projekt

EK-Unterschriftsdatum 27 Februar 2017

Startdatum 1 Juni 2017

Enddatum 31 Mai 2023

Finanziert unter

• EXCELLENT SCIENCE - European Research Council (ERC)

Gesamtkosten € 1 497 250,00

EU-Beitrag € 1 497 250,00

Koordiniert durch

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Italy

Ziel

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.

Wissenschaftliches Gebiet

• humanities › languages and literature › general language studies
• natural sciences › computer and information sciences › data science › natural language processing
• natural sciences › computer and information sciences › artificial intelligence › machine learning

Schlüsselbegriffe

• Semantic Parsing. Multilinguality

Programm/Programme

• H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme

Thema/Themen

• ERC-2016-COG - ERC Consolidator Grant

Aufforderung zur Vorschlagseinreichung

ERC-2016-COG

Finanzierungsplan

ERC-COG - Consolidator Grant

Gastgebende Einrichtung

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA

• Netto-EU-Beitrag: € 1 497 250,00
• Adresse: Piazzale Aldo Moro 5 ; 00185 Roma ; Italien
• Region: Centro (IT) › Lazio › Roma
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 1 497 250,00

Begünstigte (1)

UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA

Italien

• Netto-EU-Beitrag: € 1 497 250,00
• Adresse: Piazzale Aldo Moro 5 ; 00185 Roma
• Region: Centro (IT) › Lazio › Roma
• Aktivitätstyp: Higher or Secondary Education Establishments
• Gesamtkosten: € 1 497 250,00