Explore the words cloud of the TreeGraSP project. It provides you a very rough idea of what is the project "TreeGraSP" about.
The following table provides information about the project.
Coordinator |
HEINRICH-HEINE-UNIVERSITAET DUESSELDORF
Organization address contact info |
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 |
Take a look of project's partnership.
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1 | HEINRICH-HEINE-UNIVERSITAET DUESSELDORF | DE (DUSSELDORF) | coordinator | 1˙995˙890.00 |
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.
year | authors and title | journal | last update |
---|---|---|---|
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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The information about "TREEGRASP" are provided by the European Opendata Portal: CORDIS opendata.
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