Named entities (NE) mentioned in textual databases constitute an important part of their semantics. Lists of those NE are an important knowledge source for diverse tasks. We present a method for NE identification focused on composite proper names (names with coordinated constituents and names with several prepositional phrases.) We describe a method based on heterogeneous knowledge and simple r...

Boosting is a machine learning algorithm that is not well known in computational linguistics. We apply it to part-of-speech tagging and prepositional phrase attachment. Performance is very encouraging. We also show how to improve data quality by using boosting to identify annotation errors.

Resolving attachment ambiguities is a pervasive problem in syntactic analysis. We propose and investigate an approach to resolving prepositional phrase attachment that centers around the ways of incorporating semantic knowledge derived from the lexico-semantic ontologies such as VERBNET and WORDNET.

This paper deals with contextual aspects of locative preposition processing. Firstly, accordingly to a study on the referential behavior of the pronominal adverb ”y” in its locative uses, we show that static locative prepositions are functions, not only at the conceptual level (as shown in previous studies), but also from a contextual point of view. Such functions introduce new objects in the d...

We propose a method for labelling prepositional phrases according to two different semantic role classifications, as contained in the Penn treebank and the CoNLL 2004 Semantic Role Labelling data set. Our results illustrate the difficulties in determining preposition semantics, but also demonstrate the potential for PP semantic role labelling to improve the performance of a holistic semantic ro...

A problem frequently encountered in the automatic parsing of Russian texts is the correct structuring of prepositional phrases in sentences. Studies of text samples indicate that, when other criteria are absent, the syntactic governors of prepositions can be determined with a high degree of accuracy by reference to the relative position and part-of-speech of elements in the clausal environment....

(2007) in Späth, A. (ed.) Interface and Interface Conditions. Berlin. de Gruyter. -------------------------------------------------------------------------------------------------------------ABSTRACT The standard view about the uniformity of Case assignment by verbs and prepositions is challenged with data from German and an analysis according to which P has a feature structure which involves a...

In this paper we extend a shallow parser [6] with prepositional phrase attachment. Although the PP attachment task is a well-studied task in a discriminative learning context, it is mostly addressed in the context of artificial situations like the quadruple classification task [18] in which only two possible attachment sites, each time a noun or a verb, are possible. In this paper we provide a ...

This paper describes a labelled corpus intended for training learning algorithms to attach prepositional phrases (PPs). Taken from the PTB2, we believe it is the largest available resource for this purpose, especially as it contains many patterns in which PPs occur ambiguously (nearly all previous research has focused on just one pattern) and we present some results for the five most common pat...

In this article, we will show that the modal properties of infinitive relative clauses are a direct consequence their defective functional periphery, namely they just project FinP in case prepositional relatives, but up to ForceP wh- relatives. While truncation analysis helps us explain special it offers new insights into standard situ focus as covert movement FocP and right-dislocation left-di...