IBM's Statistical Question Answering System - TREC-10

IBM's Statistical Question Answering System

IBM's PIQUANT II in TREC 2004

PIQUANT II, the system we used for TREC 2004, is a completely reengineered system whose core functionalities for answering factoid and list questions remain largely unchanged from previous years [Chu-Carroll et al, 2003, Prager et al, 2004]. We continue to address these questions using our multi-strategy and multi-source approach. For “other” questions, we experimented with two alternative appr...

IBM's PIQUANT II in TREC 2005

Introduction This year, the PIQUANT II system we used in the TREC QA track is an improved version over the reengineered system we used in last year's entry [Chu-Carroll et al., 2005]. Our system adopts a multi-agent approach to question answering. In this framework, a question is submitted to multiple agents, each adopting a different question answering strategy and/or consults a different info...

IBM’s Statistical Question Answering System – TREC-11

In this paper, we document our efforts to extend our statistical question answering system for TREC-11. We incorporated a web search feature, and novel extensions of statistical machine translation as well as extracting lexical patterns for exact answers from a supervised corpus. Without modification to our base set of thirty-one categories, we were able to achieve a confidence weighted score o...

The Use of Dynamic Segment Scoring for Language-Independent Question Answering

This paper presents a novel language-independent question/answering (Q/A) system based on natural language processing techniques, shallow query understanding, dynamic sliding window techniques, and statistical proximity distribution matching techniques. The performance of the proposed system using the latest Text REtrieval Conference (TREC-8) data was comparable to results reported by the top T...