ASV-Label
Login

16px-feed-icon Veröffentlichungen View this page in English

RHN

Abstract:

The present study examines the results of experiments on the auto- matic classification of German verbs into five aspectual classes (Richter and van Hout, 2016): An experiment within an unsupervised framework based on associa- tions of raters (Richter and van Hout, 2016) and a couple of experiments within a distributional framework, i.e. in window-based and in a subcategorization-frame- based approach (Hermes et al., 2018). We compare the predictive power of raters associations against two types of verbal cooccurrences: i. pure, unstructured co- occurrences and ii. linguistically motivated, well defined co-occurrences which we denote as informed distributional framework. We observed substantial (unsu- pervised) and excellent (supervised) agreements with a Gold Standard classifica- tion.

Type: Incollection

Author: Michael Richter and Jürgen Hermes and Claes Neuefeind
Title: Aspectual classifications: Use of raters’ associations and co-occurrences of verbs for aspectual classification in German
Booktitle: Agents and Artificial Intelligence
Year: 2019
Pages:467 - 491
Publisher:Springer
Address:
@INCOLLECTION{RHN,
AUTHOR = {Michael Richter and Jürgen Hermes and Claes Neuefeind},
TITLE = {Aspectual classifications: Use of raters’ associations and co-occurrences of verbs for aspectual classification in German},
BOOKTITLE = {Agents and Artificial Intelligence},
YEAR = {2019},
PAGES = {467 - 491},
PUBLISHER = {Springer}
}