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ORCIDOren Melamud
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2010 – 2019
- 2019
[c15]Oren Melamud, Mihaela A. Bornea, Ken Barker
:
Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification. EMNLP/IJCNLP (1) 2019: 3882-3891- [i5]Oren Melamud, Chaitanya Shivade:
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models. CoRR abs/1905.07002 (2019) - 2018
- [c14]Jacob Goldberger, Oren Melamud:
Self-Normalization Properties of Language Modeling. COLING 2018: 764-773 - [i4]Jacob Goldberger, Oren Melamud:
Self-Normalization Properties of Language Modeling. CoRR abs/1806.00913 (2018) - 2017
- [c13]Oren Melamud, Jacob Goldberger:
Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function. ACL (2) 2017: 167-171 - [c12]Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. EMNLP 2017: 1860-1865 - [i3]Oren Melamud, Ido Dagan, Jacob Goldberger:
A Simple Language Model based on PMI Matrix Approximations. CoRR abs/1707.05266 (2017) - 2016
- [c11]Michael Wojatzki, Oren Melamud, Torsten Zesch:
Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises. BEA@NAACL-HLT 2016: 172-181 - [c10]Oren Melamud, Jacob Goldberger, Ido Dagan:
context2vec: Learning Generic Context Embedding with Bidirectional LSTM. CoNLL 2016: 51-61 - [c9]Vasily Konovalov, Ron Artstein, Oren Melamud, Ido Dagan:
The Negochat Corpus of Human-agent Negotiation Dialogues. LREC 2016 - [c8]Oren Melamud, David McClosky, Siddharth Patwardhan, Mohit Bansal:
The Role of Context Types and Dimensionality in Learning Word Embeddings. HLT-NAACL 2016: 1030-1040 - [i2]Oren Melamud, David McClosky, Siddharth Patwardhan, Mohit Bansal:
The Role of Context Types and Dimensionality in Learning Word Embeddings. CoRR abs/1601.00893 (2016) - [i1]Oren Melamud, Ido Dagan, Jacob Goldberger:
PMI Matrix Approximations with Applications to Neural Language Modeling. CoRR abs/1609.01235 (2016) - 2015
- [c7]Oren Melamud, Omer Levy, Ido Dagan:
A Simple Word Embedding Model for Lexical Substitution. VS@HLT-NAACL 2015: 1-7 - [c6]Oren Melamud, Ido Dagan, Jacob Goldberger:
Modeling Word Meaning in Context with Substitute Vectors. HLT-NAACL 2015: 472-482 - 2014
- [c5]Torsten Zesch, Oren Melamud:
Automatic Generation of Challenging Distractors Using Context-Sensitive Inference Rules. BEA@ACL 2014: 143-148 - [c4]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret:
Probabilistic Modeling of Joint-context in Distributional Similarity. CoNLL 2014: 181-190 - 2013
- [c3]Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor:
Using Lexical Expansion to Learn Inference Rules from Sparse Data. ACL (2) 2013: 283-288 - [c2]Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor:
A Two Level Model for Context Sensitive Inference Rules. ACL (1) 2013: 1331-1340 - 2012
- [j1]Yonatan Aumann, Moshe Lewenstein, Oren Melamud, Ron Y. Pinter, Zohar Yakhini:
Dotted interval graphs. ACM Trans. Algorithms 8(2): 9:1-9:21 (2012)
2000 – 2009
- 2005
- [c1]Yonatan Aumann, Moshe Lewenstein, Oren Melamud, Ron Y. Pinter, Zohar Yakhini:
Dotted interval graphs and high throughput genotyping. SODA 2005: 339-348
Coauthor Index
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