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Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas


Feb 19, 2021
Tom Hope, Ronen Tamari, Hyeonsu Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf


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Process-Level Representation of Scientific Protocols with Interactive Annotation


Jan 25, 2021
Ronen Tamari, Fan Bai, Alan Ritter, Gabriel Stanovsky

* Accepted to EACL 2021. Data, models and code will be made available for use by the research community at https://textlabs.github.io/ 

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Language (Re)modelling: Towards Embodied Language Understanding


May 01, 2020
Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf

* Accepted to ACL2020 Theme Track 

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Ecological Semantics: Programming Environments for Situated Language Understanding


Mar 10, 2020
Ronen Tamari, Gabriel Stanovsky, Dafna Shahaf, Reut Tsarfaty

* Accepted to Bridging AI and Cognitive Science (BAICS) workshop at ICLR2020. For interactive demos, see https://eco-sem.github.io/ 

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Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts


Oct 26, 2019
Gabriel Stanovsky, Ronen Tamari

* Accepted to the 5th Workshop on Noisy User-generated Text 

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Playing by the Book: Towards Agent-based Narrative Understanding through Role-playing and Simulation


Nov 10, 2018
Ronen Tamari, Hiroyuki Shindo, Dafna Shahaf, Yuji Matsumoto


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Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions


Jun 11, 2018
Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua

* Part of the Intel Collaborative Research Institute for Computational Intelligence (ICRI-CI) Special Issue on Deep Learning Theory 

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Tensorial Mixture Models


Mar 25, 2018
Or Sharir, Ronen Tamari, Nadav Cohen, Amnon Shashua

* A git repository for reproducing our experiments is available at: https://github.com/HUJI-Deep/Generative-ConvACs 

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Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions


Feb 13, 2018
Nadav Cohen, Ronen Tamari, Amnon Shashua

* Published as a conference paper at ICLR 2018 

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