The complex inner structures of concept names in the Foundational Model of Anatomy (FMA) remain an obstacle for further analyzing the ontology using lexical methods. A very common problem is the ambiguity lying in names with the sometimes multiple occurrences of the preposition "of." In this paper, we propose an automatic method to help disambiguating FMA terms by leveraging the taxonomy and pa...

One of the most popular techniques used in HPSG-based studies to describe linguistic phenomena is the raising mechanism. Besides ordinary raising verbs or adjectives, this tool has been applied for handling verbal complexes and discontinuous constituents, among other phenomena. In this paper, a new application for raising within the HPSG paradigm will be discussed, thereby investigating data fr...

The SemEval-2007 task to disambiguate prepositions was designed as a lexical sample task. A set of over 25,000 instances was developed, covering 34 of the most frequent English prepositions, with two-thirds of the instances for training and one-third as the test set. Each instance identified a preposition to be tagged in a full sentence taken from the FrameNet corpus (mostly from the British Na...

This paper discusses the behaviour of German particle verbs formed by two-way prepositions in combination with pleonastic PPs including the verb particle as a preposition. These particle verbs have a characteristic feature: some of them license directional prepositional phrases in the accusative, some only allow for locative PPs in the dative, and some particle verbs can occur with PPs in the a...

We present SpaceCase, a computational model of spatial preposition use that combines geometric and functional influences. SpaceCase treats spatial preposition use as governed by evidential rules, each representing influences of particular factors. Our model is unique in relying on both automatically constructed visual representations from sketched input, and drawing our functional representatio...

This paper investigates the deductive derivation of the semantics of temporal preposition phrases in English in the framework of the glue-language approach as developed for LFG. The meanings of temporal preposition phrases can be given as functions which we call temporal generalized quantiiers, as developed in a companion paper using a more traditional syntax-semantics interface. We show that t...

In this paper we describe the technical implementation of our system that participated in the Helping Our Own 2012 Shared Task (HOO-2012). The system employs a number of preprocessing steps and machine learning classifiers for correction of determiner and preposition errors in non-native English texts. We use maximum entropy classifiers trained on the provided HOO-2012 development data and a la...

We develop a model of preposition definitions in a machine-readable dictionary using the theory of labeled directed graphs and analyze the resulting digraphs to determine a primitive set of preposition senses. We characterize these primitives and show how they can be used to develop an inheritance hierarchy for prepositions, representing the definitions by a type and slots for its arguments. By...

This study investigated the effect of applying the dynamic system theory (DST) and cognitive linguistics (CL) insights into grammar instruction on EFL learners’ learning of English prepositions and learner autonomy. Sixty Iranian EFL learners at the lower-intermediate level of language proficiency were randomly assigned to 1 experimental and 1 control group. The 2 groups filled out an autonomy ...