PP Attachment

Both anaphora resolution and preposi- tional phrase (PP) attachment are the most frequent ambiguities in natural lan- guage processing. Several methods have been proposed to deal with each phe- nomenon …...

Many researches found lexical preferences to be critical in resolving attachment ambiguity [WFB 90][FBK 82][ MP 80]. Most notably, information from Verb-Obj-Prep-Noun structures (VOPN) has been used to show that …...

This paper analyses the relation between the use of similarity in Memory-Based Learning and the notion of backed-off smoothing in statistical language model- ing. We show that the two approaches …...

The performance of PCFGs estimated from tree banks is shown to be sensitive to the par- ticular way in which linguistic constructions are represented as trees in the tree bank. …...

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 …...

. This paper deals with how to enhance the performance of a rule-based parser using statistical Information. PP (Prepositional Phrase) attachment ambiguity is one of the main ambiguities found in …...

Modern NLP models rely heavily on engi- neered features, which often combine word and contextual information into complex lexi- cal features. Such combination results in large numbers of features, which …...

AbstractWe pose the general task of user-factor adaptation – adapting supervised learning models to real-valued user factors inferred from a background of their language, reflecting the idea that a piece …...

AbstractType-level word embeddings use the same set of parameters to represent all instances of a word regardless of its context, ignoring the inherent lexical ambiguity in language. Instead, we embed …...