High precision logic form transformation
This paper presents few extensions to the logic form representation and a method for transforming WordNet glosses into logic forms using a set of high-precision rules combined with a set of high recall heuristics. An almost 3% increase in POS tagging accuracy is achieved over state-of-the art results at the expense of user intervention on only 7.52% of words. We apply a nearest neighbor solution to parser switching that leads to 6.43% increase in exact sentence accuracy for glosses. Logic Forms are derived with an accuracy of 89.46%.
Proceedings of the International Conference on Tools with Artificial Intelligence
Rus, V. (2001). High precision logic form transformation. Proceedings of the International Conference on Tools with Artificial Intelligence, 288-295. Retrieved from https://digitalcommons.memphis.edu/facpubs/2865