Aspectual classification maps verbs to a small set of primitive categories in order to reason about time. This classification is necessary for interpreting temporal modifiers and assessing temporal relationships, and is therefore a required component for many natural language applications. A verb's aspectual category can be predicted by co-occurrence frequencies between the verb and certain lin...

This work investigates the role of semantic clause types and modality in argumentative texts. We annotate argumentative microtexts with situation entity (SE) classes and additionally label the segments that contain modal verbs with their modal senses. We analyse the correlation both of SE classes and of modal verbs and senses with components of argument structures (such as premises and conclusi...

This work deviates from easy-to-define class boundaries for object interactions. For the task of object interaction recognition, often captured using an egocentric view, we show that semantic ambiguities in verbs and recognising sub-interactions along with concurrent interactions result in legitimate class overlaps (Figure 1). We thus aim to model the mapping between observations and interactio...

Futurity can be signalled in English in a great variety of ways. [Aarts reviews previous statements concerning the progressive and non-progressive present with future reference.] There is considerable agreement among authors who have dealt with this topic, but to define the conditions that cause a speaker to choose the one form rather than the other would call for a detailed study. The importan...

We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction techniques, and evaluate them thoroughly using a robust method new to the task: cost-based framework for pairwise clustering. Our best results compare favourably with earlier ones. Interestingly, they are obtained with...

Temporal information analysis is very important for Chinese Information Process. Comparing with English, Chinese is quite different in temporal information expression. Based on the feature of Chinese a phase-based method is proposed to deal with Chinese temporal information. To this end, an algorithm is put forward to classify verbs into different situation types automatically. About 2981 verbs...

This paper develops the idea that the telicity is derived from atomicity. An atomic predicate is a singular predicate denoting a set of individuals which count as one individual on some scale of measurement, i.e. must be formally of the form λa.P(a) ∧ MEAS(a) = <1,U>. Atomic sets of this kind are derived via a maximalisation operation (Filip and Rothstein 2005, Rothstein 2007b). While in the no...

Previous research has shown that syntactic features are the most informative features in automatic verb classification. We experiment with a new, rich feature set, extracted from a large automatically acquired subcategorisation lexicon for English, which incorporates information about arguments as well as adjuncts. We evaluate this feature set using a set of supervised classifiers, most of whic...