This paper introduces a deceptively simple entity extraction task intended to encourage more interdisciplinary collaboration between fields that don’t normally work together: diarization, dialog and entity extraction. Given a corpus of 1.4M call center calls, extract mentions of trouble ticket numbers. The task is challenging because first mentions need to be distinguished from confirmations to...

At Honeywell Technology Center, we are applying planning technology to help humans use complex automated systems. Some example systems are suites of NASA satellite image-processing programs for EOSDIS, schedulers for batch manufacturing processes and automated support for medical treatment protocols. The problem is one of providing what Pattie Maes [8] calls "indirect interaction:" allowing use...

Problem setting. The relevance of our study is due to the excessive popularity concept «socio-cultural identity» as a scientific term and tool for studying postmodern world. As socio-humanitarian knowledge, it remains one most uncertain at same time actively used in modern research theoretical practical analysis typology socio-cultural processes. Understanding specifics identity its formation c...

General-purpose planners use domain-independent search heuristics to generate solutions for problems in a variety of different domains. However, as heuristics they are, there are situations in which these heuristics do not produce the expected effective guidance, and the planner performs inefficiently or obtains solutions of poor quality. Learning from experience can help to identify the partic...

In this paper we present UbuntuWorld 1.0 LTS a platform for developing automated technical support agents in the Ubuntu operating system. Specifically, we propose to use the Bash terminal as a simulator of the Ubuntu environment for a learning-based agent, and demonstrate the usefulness of adopting reinforcement learning (RL) techniques for basic problem solving and troubleshooting in this envi...

Software procurement represents a process of vital importance to most enterprises in the public and private sectors, but particularly in the U.S. government, the software procurement process is highly pathological. Intelligent agent technology offers the potential to remedy this process pathology and an agent-based redesign transformation is recommended to dramatically improve the performance o...

A decision list is an ordered list of conjunctive rules (Rivest 1987). Inductive algorithms such as AQ and CN2 learn decision lists incrementally, one rule at a time. Such algorithms face the rule overlap problem -the classification accuracy of the decision list depends on the overlap between the learned rules. Thus, even though the rules are learned in isolation, they can only be evaluated in ...

Software agents will personalize smart devices to act autonomously on behalf of their human owner. In dynamical electronic commerce environments, these agents could buy and sell goods and services from each other, without using a central market maker. From a system perspective, this creates a decentralized and continuously changing multi-agent system with the need for coordination of supply and...

T o screen or not to screen? For prostate cancer, that is still the question, despite the release this spring of mortality data from two large trials that asked whether prostate-specifi c antigen (PSA) testing reduces the risk of dying from prostate cancer. In the United States, the Prostate, Lung, Colorectal, and Ovarian (PLCO) cancer screening trial found no mortality benefi t for PSA screeni...

This paper presents OMINE, an opinion mining system which aims to identify concepts such as products and their attributes, and analyze their corresponding polarities. Our work pioneers at linking extracted topic terms with domain-specific concepts. Compared with previous work, taking advantage of ontological techniques, OMINE achieves 10% higher recall with the same level precision on the topic...