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TreeGraSP SIGNED

Tree rewriting grammars and the syntax-semantics interface:From grammar development to semantic parsing

Total Cost €

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EC-Contrib. €

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Partnership

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Project "TreeGraSP" data sheet

The following table provides information about the project.

Coordinator
HEINRICH-HEINE-UNIVERSITAET DUESSELDORF 

Organization address
address: UNIVERSITAETSSTRASSE 1
city: DUSSELDORF
postcode: 40225
website: www.uni-duesseldorf.de

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 Germany [DE]
 Total cost 1˙995˙890 €
 EC max contribution 1˙995˙890 € (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 2017-07-01   to  2022-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HEINRICH-HEINE-UNIVERSITAET DUESSELDORF DE (DUSSELDORF) coordinator 1˙995˙890.00

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 Project objective

The increasing amount of data available in our digital society is both a chance and a challenge for natural language processing. On the one hand, we have better possibilities than ever to extract and process meaning from language data, and recent techniques, in particular deep learning methods, have achieved impressive results. On the other hand, linguistic research has a much broader empirical basis and can aim at rich quantitative models of language. Unfortunately, theory and application interact too little in these areas of meaning extraction and grammar theory. Current semantic processing techniques do not sufficiently capture the complex structure of language while grammatical theory does not sufficiently incorporate data-driven insights about language.

TreeGraSP bridges this gap by combining rich linguistic theory with data-driven approaches to large scale statistical grammar induction and to semantic parsing. The novelty of its approach consists in putting semantics at the center of grammar theory, putting an emphasis on multilinguality and typological diversity, and adopting a constructional approach to grammar. TreeGraSP is interdisciplinary and innovative in serveral respects: It contributes to the field of linguistics by a) making theories of grammar explicit, b) providing a grammar implementation tool for typologically working linguists and c) developing means to obtain a quantitative grammar theory. And it contributes to the field of computational semantics by providing a probabilistic theory of meaning construal that can be used for textual entailment and reasoning applications. The challenge lies in the intended transfer between theoretical linguistics and statistical natural language processing.

 Publications

year authors and title journal last update
List of publications.
2019 Tatiana Bladier, Jakub Waszczuk, Laura Kallmeyer, Jörg Hendrik Janke
From partial neural graph-based LTAG parsing towards full parsing
published pages: , ISSN: , DOI:
Computational Linguistics in the Netherlands Journal Volume 9 (2019) 2020-01-29
2019 Kilian Evang
Transition-based DRS Parsing Using Stack-LSTMs
published pages: , ISSN: , DOI: 10.18653/v1/w19-1202
Proceedings of the IWCS Shared Task on Semantic Parsing 2020-01-29
2019 Kilian Evang
Cross-lingual CCG Induction
published pages: 1577–1587, ISSN: , DOI:
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) 2020-01-29
2019 Jens Fleischhauer, Thomas Gamerschlag, Laura Kallmeyer, Simon Petitjean
Towards a Compositional Analysis of German Light Verb Constructions (LVCs) Combining Lexicalized Tree Adjoining Grammar (LTAG) with Frame Semantics
published pages: 79-90, ISSN: , DOI: 10.18653/v1/w19-0407
Proceedings of the 13th International Conference on Computational Semantics - Long Papers 2020-01-29
2018 Tatiana Bladier, Andreas van Cranenburgh, Younes Samih, Laura Kallmeyer
German and French Neural Supertagging Experiments for LTAG Parsing
published pages: 59–66, ISSN: , DOI:
Proceedings of ACL 2018, Student Research Workshop 2019-03-18
2018 David Arps, Simon Petitjean
A Parser for LTAG and Frame Semantics
published pages: , ISSN: , DOI:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018) 2019-03-18
2018 Rainer Osswald, Laura Kallmeyer
Towards a formalization of Role and Reference Grammar
published pages: 355–378, ISSN: , DOI:
Applying and Expanding Role and Reference Grammar (NIHIN Studies) 2019-03-18
2017 Laura Kallmeyer, Rainer Osswald
Combining Predicate-Argument Structure and Operator Projection: Clause Structure in Role and Reference Grammar
published pages: 61–70, ISSN: , DOI:
Proceedings of the 13th International Workshop on Tree Adjoining Grammars and Related Formalisms 2019-03-18

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