Tom Hope | תום הופ
Tom Hope | תום הופ
The Hebrew University of Jerusalem and The Allen Institute for Artificial Intelligence (AI2)
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Cited by
Cited by
Learning tensorflow: A guide to building deep learning systems
T Hope, YS Resheff, I Lieder
" O'Reilly Media, Inc.", 2017
Scaling up analogical innovation with crowds and AI
A Kittur, L Yu, T Hope, J Chan, H Lifshitz-Assaf, K Gilon, F Ng, RE Kraut, ...
Proceedings of the National Academy of Sciences 116 (6), 1870-1877, 2019
Accelerating innovation through analogy mining
T Hope, J Chan, A Kittur, D Shahaf
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
Solvent: A mixed initiative system for finding analogies between research papers
J Chan, JC Chang, T Hope, D Shahaf, A Kittur
Proceedings of the ACM on Human-Computer Interaction 2 (CSCW), 1-21, 2018
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search
T Hope, J Portenoy, K Vasan, J Borchardt, E Horvitz, DS Weld, MA Hearst, ...
EMNLP 2020, 2020
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity
S Mysore, A Cohan, T Hope
NAACL 2022, 2021
Scientific language models for biomedical knowledge base completion: an empirical study
R Nadkarni, D Wadden, I Beltagy, NA Smith, H Hajishirzi, T Hope
AKBC 2021, 2021
Augmenting scientific creativity with an analogical search engine
HB Kang, X Qian, T Hope, D Shahaf, J Chan, A Kittur
ACM Transactions on Computer-Human Interaction 29 (6), 1-36, 2022
A Search Engine for Discovery of Scientific Challenges and Directions
D Lahav, JS Falcon, B Kuehl, S Johnson, S Parasa, N Shomron, DH Chau, ...
AAAI 2022, 2021
A computational inflection for scientific discovery
T Hope, D Downey, DS Weld, O Etzioni, E Horvitz
Communications of the ACM 66 (8), 62-73, 2023
Literature-Augmented Clinical Outcome Prediction
A Naik, S Parasa, S Feldman, LL Wang, T Hope
NAACL 2022, 2021
Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas
T Hope, R Tamari, H Kang, D Hershcovich, J Chan, A Kittur, D Shahaf
CHI 2022, 2021
Language (re) modelling: Towards embodied language understanding
R Tamari, C Shani, T Hope, MRL Petruck, O Abend, D Shahaf
ACL 2020, 2020
Extracting a knowledge base of mechanisms from COVID-19 papers
T Hope, A Amini, D Wadden, M van Zuylen, S Parasa, E Horvitz, D Weld, ...
NAACL 2021, 2020
Bursting scientific filter bubbles: Boosting innovation via novel author discovery
J Portenoy, M Radensky, JD West, E Horvitz, DS Weld, T Hope
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts
A Cattan, S Johnson, D Weld, I Dagan, I Beltagy, D Downey, T Hope
AKBC 2021, 2021
SciMON: Scientific Inspiration Machines Optimized for Novelty
Q Wang, D Downey, H Ji, T Hope
ACL 2024, 2023
A Dataset for N-ary Relation Extraction of Drug Combinations
A Tiktinsky, V Viswanathan, D Niezni, DM Azagury, Y Shamay, ...
NAACL 2022, 2022
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts
SK Murthy, K Lo, D King, C Bhagavatula, B Kuehl, S Johnson, J Borchardt, ...
EMNLP 2022, 2022
Ballpark learning: Estimating labels from rough group comparisons
T Hope, D Shahaf
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
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