The automatic orchestration problem is that of assigning instruments or sounds to the notes of an unorchestrated score. This is related to, but distinct from, problems of automatic expressive interpretation. A simple algorithm is described that successfully orchestrates scores based on analysis of one musical structure – the “Z-chain.” One way for an autonomous system to compose is to initially...

There is a long history of research in automatic text summarization systems by both the text retrieval and the natural language processing communities, but evaluation of such systems’ output has always presented problems. One critical problem remains how to handle the unavoidable variability in human judgments at the core of all the evaluations. Sponsored by the DARPA TIDES project, NIST launch...

The automatic disambiguation of verbs in domain independent text becomes more and more important for applications such as Machine Translation, Text Summarization, and Question Answering, mainly because verbs play a key factor in the syntactic and semantic interpretation of sentences. In this paper we present a system for the automatic classification of token verbs in context based on VerbNet cl...

An overview is presented of algorithms and techniques for document image analysis with an emphasis on those for grnphics recognition and interpretation. The techniques are derived from the fields of image processing. pattern recognition, and machine vision. The objective in document image analysis is to recognize page contents including layout, text, and figures. Although optical character reco...