TY - GEN
T1 - Investigating automatic alignment methods for slide generation from academic papers
AU - Beamer, Brandon
AU - Girju, Roxana
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84862291212&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862291212&partnerID=8YFLogxK
U2 - 10.3115/1596374.1596395
DO - 10.3115/1596374.1596395
M3 - Conference contribution
AN - SCOPUS:84862291212
SN - 1932432299
SN - 9781932432299
T3 - CoNLL 2009 - Proceedings of the Thirteenth Conference on Computational Natural Language Learning
SP - 111
EP - 119
BT - 13th Conference on Computational Natural Language Learning
PB - CoNLL
T2 - 13th Conference on Computational Natural Language Learning, CoNLL 2009
Y2 - 4 June 2009 through 5 June 2009
ER -