Jaime Carbonell
Jaime Carbonell
Professor of Computer Science, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
The use of MMR, diversity-based reranking for reordering documents and producing summaries
J Carbonell, J Goldstein
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
28231998
An artificial intelligence approach
RS Mitchell, JG Michalski, TM Carbonell
Springer, Berlin, 2013
25942013
Topic detection and tracking pilot study final report
J Allan, JG Carbonell, G Doddington, J Yamron, Y Yang
Carnegie Mellon University, 1998
13401998
A study of retrospective and on-line event detection
Y Yang, T Pierce, J Carbonell
Proceedings of the 21st annual international ACM SIGIR conference on …, 1998
9201998
Derivational analogy: A theory of reconstructive problem solving and expertise acquisition.
JG Carbonell
CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1985
8211985
Learning by analogy: Formulating and generalizing plans from past experience
JG Carbonell
Machine learning, 137-161, 1983
7061983
Summarizing text documents: sentence selection and evaluation metrics
J Goldstein, M Kantrowitz, V Mittal, J Carbonell
Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999
6261999
Xlnet: Generalized autoregressive pretraining for language understanding
Z Yang, Z Dai, Y Yang, J Carbonell, RR Salakhutdinov, QV Le
Advances in neural information processing systems, 5754-5764, 2019
5862019
Temporal collaborative filtering with bayesian probabilistic tensor factorization
L Xiong, X Chen, TK Huang, J Schneider, JG Carbonell
Proceedings of the 2010 SIAM international conference on data mining, 211-222, 2010
5652010
Integrating planning and learning: The PRODIGY architecture
M Veloso, J Carbonell, A Perez, D Borrajo, E Fink, J Blythe
Journal of Experimental & Theoretical Artificial Intelligence 7 (1), 81-120, 1995
5371995
An overview of machine learning
JG Carbonell, RS Michalski, TM Mitchell
Machine learning, 3-23, 1983
5161983
Learning approaches for detecting and tracking news events
Y Yang, JG Carbonell, RD Brown, T Pierce, BT Archibald, X Liu
IEEE Intelligent Systems and Their Applications 14 (4), 32-43, 1999
4821999
Multi-document summarization by sentence extraction
J Goldstein, V Mittal, J Carbonell, M Kantrowitz
Proceedings of the 2000 NAACL-ANLP Workshop on Automatic summarization, 40-48, 2000
4492000
Explanation-based learning: A problem solving perspective
S Minton, JG Carbonell, CA Knoblock, DR Kuokka, O Etzioni, Y Gil
Artificial Intelligence 40 (1-3), 63-118, 1989
3851989
Transformer-xl: Attentive language models beyond a fixed-length context
Z Dai, Z Yang, Y Yang, J Carbonell, QV Le, R Salakhutdinov
arXiv preprint arXiv:1901.02860, 2019
3342019
Prodigy: An integrated architecture for planning and learning
J Carbonell, O Etzioni, Y Gil, R Joseph, C Knoblock, S Minton, M Veloso
ACM SIGART Bulletin 2 (4), 51-55, 1991
3251991
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
MM Veloso, JG Carbonell
Case-Based Learning, 55-84, 1993
3161993
Subjective understanding: computer models of belief systems.
JG Carbonell
YALE UNIV NEW HAVEN CONN DEPT OF COMPUTER SCIENCE, 1979
3131979
Topic-conditioned novelty detection
Y Yang, J Zhang, J Carbonell, C Jin
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
3122002
Machine learning: A multistrategy approach
RS Michalski, G Tecuci
Morgan Kaufmann, 1994
305*1994
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