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The problem of quantitatively comparing tile performance of different broad-coverage grammars of En-glish has to date resisted solution. Prima facie, known English grammars appear to disagree strongly with each other as to the elements of even tile simplest sentences. For instance, the grammars of Steve Abneying), Don tfindle (AT&T), Bob Ingria (BBN), and(More)
This article describes our novel approach to the automated detection and analysis of metaphors in text. We employ robust, quantitative language processing to implement a system prototype combined with sound social science methods for validation. We show results in 4 different languages and discuss how our methods are a significant step forward from(More)
In this paper we describe TI~, a fast and robust natural language parser which can analyze written text and generate regularized parse structures for sentences and phrases at the speed of approximately 0.5 sec/sentence, or 44 word per second. The parser is based on a wide coverage grammar for English, developed by the New York University's Linguistic String(More)
HITIQA is an interactive question answering technology designed to allow intelligence analysts and other users of information systems to pose questions in natural language and obtain relevant answers, or the assistance they require in order to perform their tasks. Our objective in HITIQA is to allow the user to submit exploratory, analytical, non-factual(More)
In this paper, we describe our experience with collecting and creating an annotated corpus of multi-party online conversations in a chat-room environment. This effort is part of a larger project to develop computational models of social phenomena such as agenda control , influence, and leadership in on-line interactions. Such models will help capturing the(More)