In a new model for answer retrieval, document collections are distilled offline into large repositories of facts. Each fact constitutes a potential direct answer to questions seek...
In today’s electronic system-level (ESL) design processes, an early analysis of a system’s communication and nce characteristics is becoming a key challenge. The availability ...
Axel G. Braun, Joachim Gerlach, Wolfgang Rosenstie...
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
This paper classifies distinctive phenomena occurring in Japanese spontaneous speech, and proposes a grammar and processing techniques for handling them. Parsers using a grammar f...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...