CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
This software identifies semantic relations expressed by prepositions and develops statistical learning models for predicting the relations, their arguments and the semantic types of the arguments. It is based on an inventory of 32 relations, building on the word sense disambiguation task for prepositions and collapsing related senses across prepositions. Given a preposition in a sentence, our computational task to jointly model the preposition relation and its arguments along with their semantic types, as a way to support the relation prediction.
If you use this in your work, include us in your work:
@article{srikumar2013modeling,
title={Modeling semantic relations expressed by prepositions},
author={Srikumar, Vivek and Roth, Dan},
journal={Transactions of the Association for Computational Linguistics},
volume={1},
pages={231--242},
year={2013}
}