Constructing Career Histories: A Case Study in Disentangling the Threads
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2713-2717.
Abstract
We present an algorithm for organizing partially-ordered observations into multiple threads, some of which may be concurrent., The algorithm is applied to the problem of constructing career histories for individual scientists from the abstracts of published papers. Because abstracts generally do not provide rich information about the contents of papers, we developed a novel relational method for judging the similarity of papers. We report four experiments that demonstrate the advantage of this method over the traditional Dice and Tanimoto coefficients, and that evaluate the quality of induced multi-thread career histories.
@inproceedings{ijcai2007p436,
title = {Constructing Career Histories: A Case Study in Disentangling the Threads},
author = {Cohen, Paul R.},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2713--2717},
year = {2007},
url = {https://ijcai.org/proceedings/2007/436},
}
TY - CPAPER TI - Constructing Career Histories: A Case Study in Disentangling the Threads AU - Cohen, Paul R. T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2713 EP - 2717 UR - https://ijcai.org/proceedings/2007/436 ER -Copied
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