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Most Influential SIGIR 2000 Paper · 2026-03 edition

Question-answering By Predictive Annotation

John Prager; Eric Brown; Anni Coden; Dragomir Radev

Venue
ACM SIGIR Conference (SIGIR) 2000
Recognition
Most Influential SIGIR 2000 Paper (Rank No. 11)
Edition
2026-03
Impact factor
6
Certificate ID
c1a377adaa7e9be5

Abstract

We present a new technique for question answering called Predictive Annotation. Predictive Annotation identifies potential answers to questions in text, annotates them accordingly and indexes them. This technique, along with a complementary analysis of questions, passage-level ranking and answer selection, produces a system effective at answering natural-language fact-seeking questions posed against large document collections. Experimental results show the effects of different parameter settings and lead to a number of general observations about the question-answering problem.

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