The field of opinion mining has emerged in recent years as an exciting challenge for computational linguistics: investigating how humans express subjective judgments through lingu...
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
While strings and syntax trees are used by the Natural Language Processing community to represent the structure of spoken languages, these encodings are difficult to adapt to a si...
We propose an approach to adjective-noun composition (AN) for corpus-based distributional semantics that, building on insights from theoretical linguistics, represents nouns as ve...
We present a framework for generating procedure summaries that are precise -- applying the summary in a given context yields the same result as re-analyzing the procedure in that ...