Analyzing the structure of argumentative discourse
Computational Linguistics
Constructing literature abstracts by computer: techniques and prospects
Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
A trainable document summarizer
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Usability Engineering
Evaluating Natural Language Processing Systems: An Analysis and Review
Evaluating Natural Language Processing Systems: An Analysis and Review
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Towards better NLP system evaluation
HLT '94 Proceedings of the workshop on Human Language Technology
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLPWorkshop on Automatic summarization - Volume 4
Measuring user acceptability of machine translations to diagnose system errors: an experience report
COLING-MTIA '02 Proceedings of the 2002 COLING workshop on Machine translation in Asia - Volume 16
Cue phrase classification using machine learning
Journal of Artificial Intelligence Research
Expert Systems with Applications: An International Journal
Studying databases of intentions: do search query logs capture knowledge about common human goals?
Proceedings of the fifth international conference on Knowledge capture
Acquiring knowledge about human goals from Search Query Logs
Information Processing and Management: an International Journal
Building conceptual knowledge for managing learning paths in e-learning
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
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Conceptual modeling has been fundamental to the management of structured data. However, its value is increasingly being recognized for knowledge management in general. In trying to develop suitable conceptual models for unstructured information, issues such as the level of representation and complexity of processing techniques arise. Here, we investigate the use of a conceptual model that is simple enough to allow efficient automatic extraction from two kinds of documents--scientific research papers and patents. Our model focused on the problem-solution relationship that is central to the analysis of scientific papers, while allowing supporting relationships such as methods and claims. We evaluated the utility of the approach by building a prototype system and carrying out experiments that assessed the accuracy level of the techniques used in building the model and the acceptability of the model through preliminary user studies. The feedback from these experiments shows promising results that support our choice in the tradeoffs between the granularity of the model and the processing techniques used. We discuss a variety of issues that arouse from this project and describe several directions for future work.