Artificial intelligence publications

We describe an algorithm that learns simple, low-coverage wrapper-like extraction patterns, which we then apply to conventional information extraction problems using boosting.

We address: modeling sequential data with HMMs, problems with previous methods: motivation, the maximum entropy Markov model, segmentation of FAQs: experiments and results.

In this paper, we argue that improved usability requires a new representational layer that captures metatheoretic properties of a planning domain.

The goal of this project was to enable knowledge engineers to construct knowledge bases (KBs) faster. To achieve this goal, we investigated two techniques: knowledge reuse and axiom templates. The…

This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions.

This paper introduces two contrasting methods for planning with conflicting advice, suited to different user requirements. Soft enforcement embodies a heuristic approach that prefers planning choices that are consistent with…

Distributed SIPE (DSIPE) is a distributed planning system that provides decision support to human planners in a collaborative planning environment.

In this article, we describe a new paradigm for planning in complex, dynamic environments, which we term distributed, continual planning (DCP). We argue that developing DCP systems will be necessary…