Certain forms of mathematical expression are used more often than others in practice. A quantitative understanding of actual usage can provide additional information to improve th...
Abstract. This paper presents an information system for legal professionals that integrates natural language processing technologies such as text classification and summarization. ...
Hierarchical probabilistic modeling of discrete data has emerged as a powerful tool for text analysis. Posterior inference in such models is intractable, and practitioners rely on...
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...
We report on a laboratory study that compares reading from paper to reading on-line. Critical differences have to do with the major advantages paper offers in supporting annotatio...