TY - GEN
T1 - Axis-based alignment of scholarly papers and its presentation slides considering document structure
AU - Kawakami, Yuhei
AU - Nishida, Atsuto
AU - Shimizu, Toshiyuki
AU - Yoshikawa, Masatoshi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - Recently, most researchers make a presentation with presentation slides to introduce a paper in academic conferences. We can often retrieve and browse papers and presentation slides through websites. We consider that we can obtain information efficiently by using both of them, and we propose a method to align papers and its presentation slides at the fine granularity. Though there are some existing works on this alignment, our system tried to achieve better accuracy for this problem by proposing the two approaches: 1) the adjustment by axis alignments; and 2) two-step alignment. The content similarity between each slide and paragraph is unstable due to the small amount of texts in the slides. Therefore we also calculate the content similarity in section-level and consider the ancillary alignment in section-level. Also, we succeed to obtain better alignments by adjusting the alignment score or narrowing down the alignment candidates. Finally, for each slide, we calculate the scores of each paragraph, and determine the alignment according to the scores by associating the slide to a sequence of paragraphs. We created a small dataset manually and conducted an experiment to confirm the effectiveness of the proposed method.
AB - Recently, most researchers make a presentation with presentation slides to introduce a paper in academic conferences. We can often retrieve and browse papers and presentation slides through websites. We consider that we can obtain information efficiently by using both of them, and we propose a method to align papers and its presentation slides at the fine granularity. Though there are some existing works on this alignment, our system tried to achieve better accuracy for this problem by proposing the two approaches: 1) the adjustment by axis alignments; and 2) two-step alignment. The content similarity between each slide and paragraph is unstable due to the small amount of texts in the slides. Therefore we also calculate the content similarity in section-level and consider the ancillary alignment in section-level. Also, we succeed to obtain better alignments by adjusting the alignment score or narrowing down the alignment candidates. Finally, for each slide, we calculate the scores of each paragraph, and determine the alignment according to the scores by associating the slide to a sequence of paragraphs. We created a small dataset manually and conducted an experiment to confirm the effectiveness of the proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84909644408&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84909644408&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-12823-8_10
DO - 10.1007/978-3-319-12823-8_10
M3 - Conference contribution
AN - SCOPUS:84909644408
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 87
EP - 97
BT - The Emergence of Digital Libraries - Research and Practices - 16th International Conference on Asia-Pacific Digital Libraries, ICADL 2014, Proceedings
A2 - Tuamsuk, Kulthida
A2 - Jatowt, Adam
A2 - Rasmussen, Edie
PB - Springer Verlag
T2 - 16th International Conference on Asia-Pacific Digital Libraries, ICADL 2014
Y2 - 5 November 2014 through 7 November 2014
ER -