We have designed and implemented a text processing system that can extract important information from hundreds of paragraphs per hour and can be transported within weeks to a new ...
When text categorization is applied to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. In this paper, we...
In this paper, we discuss the problem of generating natural anaphora in assembly instructional texts. We rst present a detailed account of grammatical and lexical anaphora and we e...
Abstract. This paper addresses the issue of simplifying natural language texts in order to ease the task of accessing factual information contained in them. We define the notion of...
Beata Beigman Klebanov, Kevin Knight, Daniel Marcu
We study the expressiveness and performance of full-text search languages. Our main motivation is to provide a formal basis for comparing such languages and to develop a model for...