Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Learning to resolve natural language ambiguities: a unified approach
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Topic segmentation: algorithms and applications
Topic segmentation: algorithms and applications
Sentence alignment for monolingual comparable corpora
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Automatic slide presentation from semantically annotated documents
CorefApp '99 Proceedings of the Workshop on Coreference and its Applications
Automatic slide generation based on discourse structure analysis
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A method for generating presentation slides based on expression styles using document structure
International Journal of Knowledge and Web Intelligence
Multimodal alignment of scholarly documents and their presentations
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
PPSGen: learning to generate presentation slides for academic papers
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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In this paper we investigate the task of automatic generation of slide presentations from academic papers, focusing initially on slide to paper alignment. We compare and evaluate four different alignment systems which utilize various combinations of methods used widely in other alignment and question answering approaches, such as TF-IDF term weighting and query expansion. Our best aligner achieves an accuracy of 75% and our findings show that for this application, average TF-IDF scoring performs more poorly than a simpler method based on the number of matched terms, and query expansion degrades aligner performance.