Assessing Meaning Components in German Complex Verbs: A Collection of Source-Target Domains and Directionality
25609Authors
nan
Abstract
AbstractThis paper presents a collection to assess meaning components in German complex verbs, which frequently undergo meaning shifts. We use a novel strategy to obtain source and target domain characterisations via sentence generation rather than sentence annotation. A selection of arrows adds spatial directional information to the generated contexts. We provide a broad qualitative description of the dataset, and a series of standard classification experiments verifies the quantitative reliability of the presented resource. The setup for collecting the meaning components is applicable also to other languages, regarding complex verbs as well as other language-specific targets that involve meaning shifts.
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Proceedings of the 7th Joint Conference on Lexical and Computational Semantics (*SEM), pages 22–32 New Orleans, June 5-6, 2018. c⃝2018 Association for Computational Linguistics Assessing Meaning Components in German Complex Verbs: A Collection of Source–Target Domains and Directionality Sabine Schulte im Walde and Maximilian K¨oper and Sylvia Springorum Institut f¨ur Maschinelle Sprachverarbeitung Universit¨at Stuttgart, Germany {schulte,maximilian.koeper,sylvia.springorum}@ims.uni-stuttgart.de Abstract This paper presents a collection to assess meaning components in German complex verbs, which frequently undergo meaning shifts. We use a novel strategy to obtain source and target domain characterisations via sen- tence generation rather than sentence annota- tion. A selection of arrows adds spatial dir- ectional information to the generated contexts. We provide a broad qualitative description of the dataset, and a series of standard classifica- tion experiments verifies the quantitative reli- ability of the presented resource. The setup for collecting the meaning components is applic- able also to other languages, regarding com- plex verbs as well as other language-specific targets that involve meaning shifts. 1 Introduction German particle verbs (PVs) are complex verb structures such as anstrahlen ‘to beam/smile at’ that combine a prefix particle (an) with a base verb (strahlen ‘to beam’). PVs represent a type of multi-word expressions, which are generally known as a “pain in the neck for NLP” (Sag et al., 2002). Even more, German PVs pose a specific challenge for NLP tasks and applications, because the particles are highly ambiguous; e.g., the particle an has a partitive meaning in anbeißen ’to take a bite’, a cumulative meaning in anh¨aufen ’to pile up’, and a topological meaning in an- binden ’to tie to’ (Springorum, 2011). In addi- tion, they often trigger meaning shifts of the base verbs (BVs), cf. Springorum et al. (2013); e.g., the PV abschminken with the BV schminken ’to put on make-up’ has a literal meaning (’to remove make-up’) and a shifted, non-literal meaning (’to forget about something’).1 1We deliberately make use of the general term “meaning shift” in comparison to specific instances such as metaphor With PVs representing a large and challen- ging class in the lexicon, their meaning com- ponents and their mechanisms of compositional- ity have received a considerable amount of in- terdisciplinary research interest. For example, a series of formal-semantic analyses manually clas- sified German PVs (with particles ab, an, auf, nach) into soft semantic classes (Lechler and Roßdeutscher, 2009; Haselbach, 2011; Kliche, 2011; Springorum, 2011). Corpus studies and an- notations demonstrated the potential of German PVs to appear in non-literal language usage, and to trigger meaning shifts (Springorum et al., 2013; K¨oper and Schulte im Walde, 2016b). Regard- ing computational models, the majority of exist- ing approaches to PV meaning addressed the auto- matic prediction of German PV compositionality (Salehi et al., 2014; Bott and Schulte im Walde, 2015; K¨oper and Schulte im Walde, 2017b), in a similar vein as computational approaches for Eng- lish PVs (Baldwin et al., 2003; Bannard, 2005; McCarthy et al., 2003; Kim and Baldwin, 2007; Salehi and Cook, 2013; Salehi et al., 2014). Only …
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AbstractThis paper presents a collection to assess meaning components in German complex verbs, which frequently undergo meaning shifts. We use a novel strategy to obtain source and target domain characterisations via sentence generation rather than sentence annotation. A selection of arrows adds spatial directional information to the generated contexts. We provide a broad qualitative description of the dataset, and a series of standard classification experiments verifies the quantitative reliability of the presented resource. The setup for collecting the meaning components is applicable also to other languages, regarding complex verbs as well as other language-specific targets that involve meaning shifts.
Publication Details
- Paper ID:
- 25609
- Year:
- 2018
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan