Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
The goal of our research is to improve event extraction by learning to identify secondary role filler contexts in the absence of event keywords. We propose a multilayered event e...
This paper discusses the use of information extraction and natural language generation in the design of an automated e-mail answering system. We analyse short free-form texts and ...
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
Most mobile navigation systems focus on answering the question, “I know where I want to go, now can you show me exactly how to get there?” While this approach works well for m...