Wiebke Petersen
2018
AET: Web-based Adjective Exploration Tool for German
Tatiana Bladier
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Esther Seyffarth
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Oliver Hellwig
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Wiebke Petersen
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
2017
Unsupervised Induction of Compositional Types for English Adjective-Noun Pairs
Wiebke Petersen
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Oliver Hellwig
IWCS 2017 — 12th International Conference on Computational Semantics — Short papers
2016
Exploring the value space of attributes: Unsupervised bidirectional clustering of adjectives in German
Wiebke Petersen
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Oliver Hellwig
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
The paper presents an iterative bidirectional clustering of adjectives and nouns based on a co-occurrence matrix. The clustering method combines a Vector Space Models (VSM) and the results of a Latent Dirichlet Allocation (LDA), whose results are merged in each iterative step. The aim is to derive a clustering of German adjectives that reflects latent semantic classes of adjectives, and that can be used to induce frame-based representations of nouns in a later step. We are able to show that the method induces meaningful groups of adjectives, and that it outperforms a baseline k-means algorithm.
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