Towards a Heuristic Categorization of Prepositional Phrases in English with WordNet

TL;DR

This paper proposes a rule-based heuristic method for automatically classifying English prepositional phrases into seven semantic categories using WordNet, addressing a less-explored area in NLP.

Contribution

It introduces a novel heuristic approach for categorizing PPs and demonstrates its initial implementation on an annotated corpus.

Findings

Successfully classified PPs into seven semantic categories

Developed a multi-level heuristic classification framework

Achieved preliminary results on an annotated corpus

Abstract

This document discusses an approach and its rudimentary realization towards automatic classification of PPs; the topic, that has not received as much attention in NLP as NPs and VPs. The approach is a rule-based heuristics outlined in several levels of our research. There are 7 semantic categories of PPs considered in this document that we are able to classify from an annotated corpus.