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Catchphrase: Automatic Detection of Cultural References


Jun 09, 2021
Nir Sweed, Dafna Shahaf


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How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements


Jun 06, 2021
Chen Shani, Nadav Borenstein, Dafna Shahaf

* To be published in the main conference of ACL-IJCNLP2021. Code and dataset can be found here: https://github.com/nadavborenstein/Iggy 

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"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants


May 12, 2021
Chen Shani, Alexander Libov, Sofia Tolmach, Liane Lewin-Eytan, Yoelle Maarek, Dafna Shahaf


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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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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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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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Analogy Mining for Specific Design Needs


Dec 19, 2017
Karni Gilon, Felicia Y Ng, Joel Chan, Hila Lifshitz Assaf, Aniket Kittur, Dafna Shahaf


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Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons


Dec 13, 2017
Tom Hope, Dafna Shahaf

* WSDM 2018 

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A Machine Learning Approach to Routing


Nov 11, 2017
Asaf Valadarsky, Michael Schapira, Dafna Shahaf, Aviv Tamar


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Accelerating Innovation Through Analogy Mining


Jun 17, 2017
Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf

* KDD 2017 

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Ballpark Learning: Estimating Labels from Rough Group Comparisons


Jun 30, 2016
Tom Hope, Dafna Shahaf

* To appear in the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD) 2016 

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