Tom Hope

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 67

Top Topics

Experimental Findings

Natural Language Processing

Structured Sparsity

Top Venues

Publications

Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik
On-the-fly Definition Augmentation of LLMs for Biomedical NER. NAACL-HLT (2024)
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych
What Can Natural Language Processing Do for Peer Review? CoRR (2024)
David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR (2024)
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. ACL (1) (2024)
Mike D'Arcy, Tom Hope, Larry Birnbaum, Doug Downey
MARG: Multi-Agent Review Generation for Scientific Papers. CoRR (2024)
Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik
On-the-fly Definition Augmentation of LLMs for Biomedical NER. CoRR (2024)
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
SciMON: Scientific Inspiration Machines Optimized for Novelty. ACL (1) (2024)
Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. CoRR (2023)
Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews. CoRR (2023)
Idan Glassberg, Tom Hope
Increasing Textual Context Size Boosts Medical Image-Text Matching. CoRR (2023)
Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea
Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good. EMNLP (Findings) (2023)
Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. EMNLP (Demos) (2023)
Qingyun Wang, Doug Downey, Heng Ji, Tom Hope
Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery. CoRR (2023)
Carl Edwards, Aakanksha Naik, Tushar Khot, Martin Burke, Heng Ji, Tom Hope
SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design. CoRR (2023)
Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope
CARE: Extracting Experimental Findings From Clinical Literature. CoRR (2023)
Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz
A Computational Inflection for Scientific Discovery. Commun. ACM 66 (8) (2023)
Danna Niezni, Hillel Taub-Tabib, Yuval Harris, Hagit Sason, Yakir Amrusi, Dana Meron Azagury, Maytal Avrashami, Shaked Launer-Wachs, Jonathan Borchardt, Milo Kusold, Aryeh Tiktinsky, Tom Hope, Yoav Goldberg, Yosi Shamay
Extending the boundaries of cancer therapeutic complexity with literature text mining. Artif. Intell. Medicine 145 (2023)
Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan
CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies. CoRR (2023)
Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43 (1) (2022)
Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni, Dana Meron Azagury, Yosi Shamay, Hillel Taub-Tabib, Tom Hope, Yoav Goldberg
A Dataset for N-ary Relation Extraction of Drug Combinations. NAACL-HLT (2022)
Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope
Literature-Augmented Clinical Outcome Prediction. NAACL-HLT (Findings) (2022)
Tara Safavi, Doug Downey, Tom Hope
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. AKBC (2022)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. EMNLP (Demos) (2022)
Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery. CHI (2022)
Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope
A Search Engine for Discovery of Scientific Challenges and Directions. AAAI (2022)
Hyeonsu B. Kang, Xin Qian, Tom Hope, Dafna Shahaf, Joel Chan, Aniket Kittur
Augmenting Scientific Creativity with an Analogical Search Engine. CoRR (2022)
Tara Safavi, Doug Downey, Tom Hope
CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction. CoRR (2022)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. CoRR (2022)
Hyeonsu B. Kang, Xin Qian, Tom Hope, Dafna Shahaf, Joel Chan, Aniket Kittur
Augmenting Scientific Creativity with an Analogical Search Engine. ACM Trans. Comput. Hum. Interact. 29 (6) (2022)
Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni, Dana Meron Azagury, Yosi Shamay, Hillel Taub-Tabib, Tom Hope, Yoav Goldberg
A Dataset for N-ary Relation Extraction of Drug Combinations. CoRR (2022)
Tom Hope, Ronen Tamari, Daniel Hershcovich, Hyeonsu B. Kang, Joel Chan, Aniket Kittur, Dafna Shahaf
Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas. CHI (2022)
Sheshera Mysore, Arman Cohan, Tom Hope
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. NAACL-HLT (2022)
Tom Hope, Doug Downey, Oren Etzioni, Daniel S. Weld, Eric Horvitz
A Computational Inflection for Scientific Discovery. CoRR (2022)
Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. AKBC (2021)
Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope
Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery. CoRR (2021)
Dan Lahav, Jon Saad-Falcon, Bailey Kuehl, Sophie Johnson, Sravanthi Parasa, Noam Shomron, Duen Horng Chau, Diyi Yang, Eric Horvitz, Daniel S. Weld, Tom Hope
A Search Engine for Discovery of Biomedical Challenges and Directions. CoRR (2021)
Sheshera Mysore, Arman Cohan, Tom Hope
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. CoRR (2021)
Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. AKBC (2021)
Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope
Literature-Augmented Clinical Outcome Prediction. CoRR (2021)
Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope
SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts. CoRR (2021)
Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. NAACL-HLT (2021)
Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study. CoRR (2021)
Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon
Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies. KDD (2021)
Tom Hope, Ronen Tamari, Hyeonsu Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf
Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas. CoRR (2021)
Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf
Language (Re)modelling: Towards Embodied Language Understanding. ACL (2020)
Ganesh Mani, Tom Hope
Viral Science: Masks, Speed Bumps, and Guard Rails. Patterns 1 (6) (2020)
Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti Hearst, Jevin West
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. EMNLP (Demos) (2020)
Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers. CoRR (2020)
Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search. CoRR (2020)
Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf
Language (Re)modelling: Towards Embodied Language Understanding. CoRR (2020)
Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope
Learning a faceted customer segmentation for discovering new business opportunities at Intel. CoRR (2019)
Yehezkel S. Resheff, Itay Lieder, Tom Hope
All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. ICPRAM (2019)
Aniket Kittur, Lixiu Yu, Tom Hope, Joel Chan, Hila Lifshitz-Assaf, Karni Gilon, Felicia Y. Ng, Robert E. Kraut, Dafna Shahaf
Scaling up analogical innovation with crowds and AI. Proc. Natl. Acad. Sci. USA 116 (6) (2019)
Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope
Learning a Faceted Customer Segmentation for Discovering new Business Opportunities at Intel. IEEE BigData (2019)
Adi Szeskin, Lev Faivishevsky, Ashwin K. Muppalla, Amitai Armon, Tom Hope
A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units. CoRR (2019)
Joel Chan, Joseph Chee Chang, Tom Hope, Dafna Shahaf, Aniket Kittur
SOLVENT: A Mixed Initiative System for Finding Analogies between Research Papers. Proc. ACM Hum. Comput. Interact. 2 (CSCW) (2018)
Leya Breanna Baltaxe-Admony, Tom Hope, Kentaro Watanabe, Mircea Teodorescu, Sri Kurniawan, Takuichi Nishimura
Exploring the Creation of Useful Interfaces for Music Therapists. Audio Mostly Conference (2018)
Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf
Accelerating Innovation Through Analogy Mining. IJCAI (2018)
June Han, Tom Hope
Pair Matching: Transdisciplinary Study for Introducing Computational Intelligence to Guide Dog Associations. IUI Companion (2018)
Tom Hope, Dafna Shahaf
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. WSDM (2018)
Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf
Accelerating Innovation Through Analogy Mining. KDD (2017)
Tom Hope, Dafna Shahaf
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. CoRR (2017)
Tom Hope, Eng Chew, Rajeev Sharma
The Failure of Success Factors: Lessons from Success and Failure Cases of Enterprise Architecture Implementation [Best Paper Nominee]. SIGMIS-CPR (2017)
Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf
Accelerating Innovation Through Analogy Mining. CoRR (2017)
Joel Chan, Tom Hope, Dafna Shahaf, Aniket Kittur
Scaling up Analogy with Crowdsourcing and Machine Learning. ICCBR Workshops (2016)
Tom Hope, Dafna Shahaf
Ballpark Learning: Estimating Labels from Rough Group Comparisons. CoRR (2016)
Tom Hope, Dafna Shahaf
Ballpark Learning: Estimating Labels from Rough Group Comparisons. ECML/PKDD (2) (2016)
Tom Hope, Avishai Wagner, Or Zuk
Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation. CoRR (2015)
Mizuki Oka, Tom Hope, Yasuhiro Hashimoto, Ryoko Uno, Myeong-Hee Lee
A collective map to capture human behavior for the design of public spaces. CHI Extended Abstracts (2011)
Tom Hope, Mizuki Oka, Yasuhiro Hashimoto, Myeong-Hee Lee
Spatial Design, Designers and Users: Exploring the Meaning of Multi-party Service Cognition. HCI (4) (2011)
Masahiro Hamasaki, Hideaki Takeda, Tom Hope, Takuichi Nishimura
Network Analysis of an Emergent Massively Collaborative Creation Community: How Can People Create Videos Collaboratively without Collaboration? ICWSM (2009)
Tom Hope, Yoshiyuki Nakamura, Toru Takahashi, Atsushi Nobayashi, Shota Fukuoka, Masahiro Hamasaki, Takuichi Nishimura
Familial collaborations in a museum. CHI (2009)
Tom Hope, Masahiro Hamasaki, Keisuke Ishida, Noriyuki Fujimura, Yoshiyuki Nakamura, Takuichi Nishimura
Locating Culture in HCI with Information Kiosks and Social Networks. HCI (10) (2007)
Noriyuki Fujimura, Satoshi Fujiyoshi, Tom Hope, Takuichi Nishimura
Tabletop community: artwork for visualization of social interactions using a bipartite network. ACM Multimedia (2006)
Noriyuki Fujimura, Satoshi Fujiyoshi, Tom Hope, Takuichi Nishimura
Tabletop community: visualization of real world oriented social network. ACM Multimedia (2006)
Tom Hope, Masahiro Hamasaki, Yutaka Matsuo, Yoshiyuki Nakamura, Noriyuki Fujimura, Takuichi Nishimura
Doing Community: Co-construction of Meaning and Use with Interactive Information Kiosks. UbiComp (2006)
Kosuke Numa, Hideaki Takeda, Hiroki Uematsu, Takuichi Nishimura, Yutaka Matsuo, Masahiro Hamasaki, Noriyuki Fujimura, Keisuke Ishida, Tom Hope, Yoshiyuki Nakamura, Satoshi Fujiyoshi, Kazuya Sakamoto, Hiroshi Nagata, Osamu Nakagawa, Eiji Shinbori
A Weblog Grounded to the Real World. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs (2006)
Kosuke Numa, Hideaki Takeda, Takuichi Nishimura, Yutaka Matsuo, Masahiro Hamasaki, Noriyuki Fujimura, Keisuke Ishida, Tom Hope, Yoshiyuki Nakamura, Satoshi Fujiyoshi, Kazuya Sakamoto, Hiroshi Nagata, Osamu Nakagawa, Eiji Shinbori
Context-Aware Weblog to Enhance Communication among Participants in a Conference. WEBIST (1) (2006)
Tom Hope, Takuichi Nishimura, Hideaki Takeda
An integrated method for social network extraction. WWW (2006)