The problem of disambiguating Prepositional Phrase (PP) Attachments consists in determining if a PP is part of a Noun Phrase, as in He sees the room with books, or an argument of a verb, as in He fills the room with books. Volk has proposed two variants of a method that queries an Internet search engine to find the most probable Prepositional Phrase attachment. In this paper we apply the latest...

We present a system that produces sentential descriptions of video: who did what to whom, and where and how they did it. Action class is rendered as a verb, participant objects as noun phrases, properties of those objects as adjectival modifiers in those noun phrases, spatial relations between those participants as prepositional phrases, and characteristics of the event as prepositional-phrase ...

We describe our submission system to the SemEval-2016 Task 8 on Abstract Meaning Representation (AMR) Parsing. We attempt to improve AMR parsing by exploiting preposition semantic role labeling information retrieved from a multi-layer feed-forward neural network. Prepositional semantics is included as features into the transition-based AMR parsing system CAMR (Wang, Xue, and S. Pradhan 2015a). ...

This work is a study of the delimitation of complex prepositions (CP) as lexical units, items of a computational lexicon that includes compounds and phrases. In addition, given the utmost importance of spotting noun phrases (NP) in document retrieval systems, parsing prepositional structures such as “Prep1 N Prep2 X” prevents the fragment “N Prep2 X” from being detected as a noun phrase, i.e. t...

We present several unsupervised statistical models for the prepositional phrase attachment task that approach the accuracy of the best supervised methods for this task. Our unsupervised approach uses a heuristic based on attachment proximity and trains h'om raw text that is annotated with only part-oi;speech tags and morphologicM base forms, as opposed to attachment information. It is therefore...