Naslov
Obtaining a Better Understanding of Distributional Models of German Derivational Morphology

Autori
Kisselew, Max ; Padó, Sebastian ; Palmer, Alexis ; Šnajder ; Jan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 11th International Conference on Computational Semantics (IWCS 2015) / - London : Delhi : The Association for Computational Linguistics, 2015, 58-63

ISBN
978-1-941643-33-4

Skup
11th International Conference on Computational Semantics (IWCS 2015)

Mjesto i datum
London, Ujedinjeno Kraljevstvo, 14.04.2015. - 17.04.2015

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Distributional semantics; derivational morphology; semantic composition; regression; German language

Sažetak
Predicting the (distributional) meaning of derivationally related words (read/read+er) from one another has recently been recognized as an instance of distributional compositional meaning construction. However, the properties of this task are not yet well understood. In this paper, we present an analysis of two such composition models on a set of German derivation patterns (e.g., -in, durch-). We begin by introducing a rank-based evaluation metric, which reveals the task to be challenging due to specific properties of German (compounding, capitalization). We also find that performance varies greatly between patterns and even among base-derived term pairs of the same pattern. A regression analysis shows that semantic coherence of the base and derived terms within a pattern, as well as coherence of the semantic shifts from base to derived terms, all significantly impact prediction quality.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA