Oren Melamud

According to our database1, Oren Melamud authored at least 18 papers between 2005 and 2019.

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Bibliography

2019
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models.
CoRR, 2019

Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Self-Normalization Properties of Language Modeling.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
A Simple Language Model based on PMI Matrix Approximations.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
PMI Matrix Approximations with Applications to Neural Language Modeling.
CoRR, 2016

The Role of Context Types and Dimensionality in Learning Word Embeddings.
Proceedings of the NAACL HLT 2016, 2016

The Negochat Corpus of Human-agent Negotiation Dialogues.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

context2vec: Learning Generic Context Embedding with Bidirectional LSTM.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises.
Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, 2016

2015
A Simple Word Embedding Model for Lexical Substitution.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Modeling Word Meaning in Context with Substitute Vectors.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014
Probabilistic Modeling of Joint-context in Distributional Similarity.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules.
Proceedings of the Ninth Workshop on Innovative Use of NLP for Building Educational Applications, 2014

2013
Using Lexical Expansion to Learn Inference Rules from Sparse Data.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

A Two Level Model for Context Sensitive Inference Rules.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Dotted interval graphs.
ACM Trans. Algorithms, 2012

2005
Dotted interval graphs and high throughput genotyping.
Proceedings of the Sixteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2005


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