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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)
David Ferrucci1, Eric Nyberg2, James Allan3, Ken Barker4, Eric Brown1, Jennifer Chu-Carroll1, Arthur Ciccolo1, Pablo Duboue1, James Fan1, David Gondek1, Eduard Hovy5, Boris Katz6, Adam Lally1, Michael McCord1, Paul Morarescu1, Bill Murdock1, Bruce Porter4, John Prager1, Tomek Strzalkowski7, Chris Welty1, Wlodek Zadrozny1 1IBM Research Division Thomas J.(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)