Jaime G. Carbonell (1953 – 2020)

References

(Dai et al., 2019) ⇒ Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc V. Le, and Ruslan Salakhutdinov. (2019). “Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.” In: arXiv, abs/1901.02860.
(Yang, Dai et al., 2019) ⇒ Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R. Salakhutdinov, and Quoc V. Le. (2019). “Xlnet: Generalized Autoregressive Pretraining for Language Understanding.” Advances in Neural Information Processing Systems, 32.

(Goldstein et al., 1999) ⇒ Jade Goldstein, Mark Kantrowitz, Vibhu Mittal, and Jaime Carbonell. (1999). “Summarizing Text Documents: Sentence selection and evaluation metrics.” In: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR 1999) doi:10.1145/312624.312665
- It proposes a Cluster-based extractive summarization algorithm referred to as Maximal Marginal Relevance (MMR)
- It is cited by ~356 http://scholar.google.com/scholar?q=%22Summarizing+Text+Documents%22+1999

(Allan et al., 1998) ⇒ James Allan, Jaime Carbonell, George Doddington, Jonathan Yamron, and Yiming Yang. (1998). “Topic Detection and Tracking Pilot Study: Final report.” In: Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop.
(Yang et al., 1998) ⇒ Yiming Yang, Tom Pierce, and Jaime Carbonell. (1998). “A study of retrospective and on-line event detection.” In: Proceedings of the 21st ACM SIGIR Conference (SIGIR 1998). doi:10.1145/290941.290953