Verb Classification

This paper discusses an implemented program that automatically classifies verbs into those that ~ describe only states of the world, such as to know, and those that describe events, such …...

The choice of verb features is crucial for the learning of verb classes. This pa- per presents clustering experiments on 168 German verbs, which explore the relevance of features on …...

We conduct large-scale experiments to in- vestigate optimal features for classification of verbs in biomedical texts. We intro- duce a range of feature sets and associated extraction techniques, and evaluate …...

In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on se- mantic features. We show, in contrast with previous …...

AbstractExisting approaches to automatic VerbNet-style verb classification are heavily dependent on feature engineering and therefore limited to languages with mature NLP pipelines. In this work, we propose a novel cross-lingual …...

AbstractWe present new results on Metaphor Detection by using text from visual datasets. Using a straightforward technique for sampling text from Vision-Language datasets, we create a data structure we term …...

AbstractFor a long time, philosophers, linguists and scientists have been keen on finding an answer to the mind-bending question “what does abstract language look like?”, which has also sprung from …...

AbstractFor the task of classifying verbs in context as dynamic or stative, current models approach human performance, but only for particular data sets. To better understand the performance of such …...