context2vec: Learning generic context embedding with bidirectional lstm O Melamud, J Goldberger, I Dagan Proceedings of the 20th SIGNLL conference on computational natural language …, 2016 | 667 | 2016 |

Streamlined packet forwarding using dynamic filters for routing and security in a shared forwarding plane JP Moisand, JM Frailong, K Narayanaswamy, O Melamud, PJ Kirner US Patent 8,339,959, 2012 | 559 | 2012 |

The role of context types and dimensionality in learning word embeddings O Melamud, D McClosky, S Patwardhan, M Bansal arXiv preprint arXiv:1601.00893, 2016 | 152 | 2016 |

A simple word embedding model for lexical substitution O Melamud, O Levy, I Dagan Proceedings of the 1st workshop on vector space modeling for natural …, 2015 | 123 | 2015 |

Modeling word meaning in context with substitute vectors O Melamud, I Dagan, J Goldberger Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 55 | 2015 |

Automatic generation of challenging distractors using context-sensitive inference rules T Zesch, O Melamud Proceedings of the Ninth Workshop on Innovative Use of NLP for Building …, 2014 | 43 | 2014 |

Towards automatic generation of shareable synthetic clinical notes using neural language models O Melamud, C Shivade arXiv preprint arXiv:1905.07002, 2019 | 33 | 2019 |

A two level model for context sensitive inference rules O Melamud, J Berant, I Dagan, J Goldberger, I Szpektor Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 28 | 2013 |

Combining unsupervised pre-training and annotator rationales to improve low-shot text classification O Melamud, M Bornea, K Barker Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 26 | 2019 |

Probabilistic modeling of joint-context in distributional similarity O Melamud, I Dagan, J Goldberger, I Szpektor, D Yuret Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014 | 23 | 2014 |

A simple language model based on pmi matrix approximations O Melamud, I Dagan, J Goldberger arXiv preprint arXiv:1707.05266, 2017 | 17 | 2017 |

Information-theory interpretation of the skip-gram negative-sampling objective function O Melamud, J Goldberger Proceedings of the 55th annual meeting of the association for computational …, 2017 | 16 | 2017 |

Dotted interval graphs and high throughput genotyping Y Aumann, M Lewenstein, O Melamud, RY Pinter, Z Yakhini Symposium on Discrete Algorithms: Proceedings of the sixteenth annual ACM …, 2005 | 16 | 2005 |

The negochat corpus of human-agent negotiation dialogues V Konovalov, R Artstein, O Melamud, I Dagan Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 15 | 2016 |

Bundled gap filling: A new paradigm for unambiguous cloze exercises M Wojatzki, O Melamud, T Zesch Proceedings of the 11th Workshop on Innovative Use of NLP for Building …, 2016 | 11 | 2016 |

Self-normalization properties of language modeling J Goldberger, O Melamud arXiv preprint arXiv:1806.00913, 2018 | 8 | 2018 |

Using lexical expansion to learn inference rules from sparse data O Melamud, I Dagan, J Goldberger, I Szpektor Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 8 | 2013 |

PMI matrix approximations with applications to neural language modeling O Melamud, I Dagan, J Goldberger arXiv preprint arXiv:1609.01235, 2016 | 5 | 2016 |

Collecting better training data using biased agent policies in negotiation dialogues V Konovalov, O Melamud, R Artstein, I Dagan Proceedings of WOCHAT, the Second Workshop on Chatbots and Conversational …, 2016 | 5 | 2016 |

Dotted interval graphs Y Aumann, M Lewenstein, O Melamud, R Pinter, Z Yakhini ACM Transactions on Algorithms (TALG) 8 (2), 1-21, 2012 | 3 | 2012 |