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Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
- Ramesh Nallapati, Bowen Zhou, C. D. Santos, Çaglar Gülçehre, Bing Xiang
- Computer ScienceCoNLL
- 19 February 2016
TLDR
Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
- D. Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning
- Computer ScienceEMNLP
- 6 August 2009
TLDR
SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents
- Ramesh Nallapati, Feifei Zhai, Bowen Zhou
- Computer ScienceAAAI
- 14 November 2016
We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to…
Multi-instance Multi-label Learning for Relation Extraction
- M. Surdeanu, J. Tibshirani, Ramesh Nallapati, Christopher D. Manning
- Computer ScienceEMNLP
- 12 July 2012
TLDR
Pointing the Unknown Words
- Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio
- Computer ScienceACL
- 26 March 2016
TLDR
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
- Pramuditha Perera, Ramesh Nallapati, Bing Xiang
- Computer ScienceIEEE/CVF Conference on Computer Vision and…
- 20 March 2019
TLDR
Joint latent topic models for text and citations
- Ramesh Nallapati, Amr Ahmed, E. Xing, William W. Cohen
- Computer ScienceKDD
- 24 August 2008
TLDR
Discriminative models for information retrieval
- Ramesh Nallapati
- Computer ScienceSIGIR '04
- 25 July 2004
TLDR
Event threading within news topics
- Ramesh Nallapati, Ao Feng, Fuchun Peng, J. Allan
- Computer ScienceCIKM '04
- 13 November 2004
TLDR
Sequence-to-Sequence RNNs for Text Summarization
- Ramesh Nallapati, Bing Xiang, Bowen Zhou
- Computer ScienceArXiv
- 18 February 2016
TLDR
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