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
29651998
An artificial intelligence approach
RS Mitchell, JG Michalski, TM Carbonell
Springer, 2013
26902013
Topic detection and tracking pilot study final report
J Allan, JG Carbonell, G Doddington, J Yamron, Y Yang
Carnegie Mellon University, 1998
13731998
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, 5753-5763, 2019
13712019
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
9471998
Derivational analogy: A theory of reconstructive problem solving and expertise acquisition.
JG Carbonell
CARNEGIE-MELLON UNIV PITTSBURGH PA DEPT OF COMPUTER SCIENCE, 1985
8361985
Learning by analogy: Formulating and generalizing plans from past experience
JG Carbonell
Machine learning, 137-161, 1983
7181983
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
6571999
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
6222019
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
6082010
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
5491995
An overview of machine learning
JG Carbonell, RS Michalski, TM Mitchell
Machine learning, 3-23, 1983
5371983
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
4931999
Multi-document summarization by sentence extraction
J Goldstein, VO Mittal, JG Carbonell, M Kantrowitz
NAACL-ANLP 2000 Workshop: Automatic Summarization, 2000
4782000
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
3881989
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
3271991
Derivational analogy in PRODIGY: Automating case acquisition, storage, and utilization
MM Veloso, JG Carbonell
Case-Based Learning, 55-84, 1993
3231993
Topic-conditioned novelty detection
Y Yang, J Zhang, J Carbonell, C Jin
Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002
3192002
Subjective understanding: computer models of belief systems.
JG Carbonell
YALE UNIV NEW HAVEN CONN DEPT OF COMPUTER SCIENCE, 1979
3171979
Smoothing proximal gradient method for general structured sparse regression
X Chen, Q Lin, S Kim, JG Carbonell, EP Xing
The Annals of Applied Statistics 6 (2), 719-752, 2012
3082012
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