Prepositional Phrase Attachment and Generation of Semantic Relations

This project largely deals with the prepositional phrase attachment problem and generation of semantic relations, which are difficult problems in the field of natural language processing. In this work we looked at it through the knowledge based perspective, i.e., by encoding the world knowledge and language phenomena in terms of rules and dictionary features. The work is more focused on solving the attachment problems of English sentences, thereby improving the accuracy of analysis process. The problem needs, particularly, a knowledge intensive solution. We have used insights from linguistics, towards solving this problem. We achieved good results based on our strategy of using ‘argument structure information and feature rich lexicon’ for prepositions ‘of ’ and ‘to’. Also, the usefulness of automatic extraction of features for words in the dictionary becomes evident through the work.