Tom Hope

According to our database, Tom Hope authored at least 65 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback.

Kevin Pu, K. J. Kevin Feng, Tovi Grossman, Tom Hope, Bhavana Dalvi Mishra, Matt Latzke, Jonathan Bragg, Joseph Chee Chang, Pao Siangliulue

CoRR, 2024

Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational Reasoning.

Lior Forer, Tom Hope

CoRR, 2024

Scideator: Human-LLM Scientific Idea Generation Grounded in Research-Paper Facet Recombination.

Marissa Radensky, Simra Shahid, Raymond Fok, Pao Siangliulue, Tom Hope, Daniel S. Weld

CoRR, 2024

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature.

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

CoRR, 2024

What Can Natural Language Processing Do for Peer Review?

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

CoRR, 2024

MARG: Multi-Agent Review Generation for Scientific Papers.

Mike D'Arcy, Tom Hope, Larry Birnbaum, Doug Downey

CoRR, 2024

CARE: Extracting Experimental Findings From Clinical Literature.

Aakanksha Naik, Bailey Kuehl, Erin Bransom, Doug Downey, Tom Hope

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

On-the-fly Definition Augmentation of LLMs for Biomedical NER.

Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews.

Mike D'Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SciMON: Scientific Inspiration Machines Optimized for Novelty.

Qingyun Wang, Doug Downey, Heng Ji, Tom Hope

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain.

Aryo Gema, Pasquale Minervini, Luke Daines, Tom Hope, Beatrice Alex

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Extending the boundaries of cancer therapeutic complexity with literature text mining.

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

Artif. Intell. Medicine, November, 2023

A Computational Inflection for Scientific Discovery.

Tom Hope, Doug Downey, Daniel S. Weld, Oren Etzioni, Eric Horvitz

Commun. ACM, August, 2023

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design.

Carl Edwards, Aakanksha Naik, Tushar Khot, Martin D. Burke, Heng Ji, Tom Hope

CoRR, 2023

Learning to Generate Novel Scientific Directions with Contextualized Literature-based Discovery.

Qingyun Wang, Doug Downey, Heng Ji, Tom Hope

CoRR, 2023

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good.

Fernando Gonzalez, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea

CoRR, 2023

Increasing Textual Context Size Boosts Medical Image-Text Matching.

Idan Glassberg, Tom Hope

CoRR, 2023

CHAMP: Efficient Annotation and Consolidation of Cluster Hierarchies.

Arie Cattan, Tom Hope, Doug Downey, Roy Bar-Haim, Lilach Eden, Yoav Kantor, Ido Dagan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good.

Fernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Augmenting Scientific Creativity with an Analogical Search Engine.

Hyeonsu B. Kang, Xin Qian, Tom Hope, Dafna Shahaf, Joel Chan, Aniket Kittur

ACM Trans. Comput. Hum. Interact., December, 2022

Infrastructure for Rapid Open Knowledge Network Development.

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

AI Mag., 2022

A Dataset for N-ary Relation Extraction of Drug Combinations.

Aryeh Tiktinsky, Vijay Viswanathan, Danna Niezni, Dana Meron Azagury, Yosi Shamay, Hillel Taub-Tabib, Tom Hope, Yoav Goldberg

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Literature-Augmented Clinical Outcome Prediction.

Aakanksha Naik, Sravanthi Parasa, Sergey Feldman, Lucy Lu Wang, Tom Hope

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity.

Sheshera Mysore, Arman Cohan, Tom Hope

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts.

Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery.

Jason Portenoy, Marissa Radensky, Jevin D. West, Eric Horvitz, Daniel S. Weld, Tom Hope

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas.

Tom Hope, Ronen Tamari, Daniel Hershcovich, Hyeonsu B. Kang, Joel Chan, Aniket Kittur, Dafna Shahaf

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

CascadER: Cross-Modal Cascading for Knowledge Graph Link Prediction.

Tara Safavi, Doug Downey, Tom Hope

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

A Search Engine for Discovery of Scientific Challenges and Directions.

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Search Engine for Discovery of Biomedical Challenges and Directions.

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

CoRR, 2021

Bridger: Toward Bursting Scientific Filter Bubbles and Boosting Innovation via Novel Author Discovery.

Jason Portenoy, Marissa Radensky, Jevin West, Eric Horvitz, Daniel S. Weld, Tom Hope

CoRR, 2021

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

Tom Hope, Ronen Tamari, Hyeonsu B. Kang, Daniel Hershcovich, Joel Chan, Aniket Kittur, Dafna Shahaf

CoRR, 2021

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers.

Tom Hope, Aida Amini, David Wadden, Madeleine van Zuylen, Sravanthi Parasa, Eric Horvitz, Daniel S. Weld, Roy Schwartz, Hannaneh Hajishirzi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Automated Testing of Graphics Units by Deep-Learning Detection of Visual Anomalies.

Lev Faivishevsky, Adi Szeskin, Ashwin K. Muppalla, Ravid Shwartz-Ziv, Itamar Ben-Ari, Ronen Laperdon, Benjamin Melloul, Tahi Hollander, Tom Hope, Amitai Armon

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study.

Rahul Nadkarni, David Wadden, Iz Beltagy, Noah A. Smith, Hannaneh Hajishirzi, Tom Hope

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts.

Arie Cattan, Sophie Johnson, Daniel S. Weld, Ido Dagan, Iz Beltagy, Doug Downey, Tom Hope

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

Automating Innovation and Discovery with Machine Learning (כותר נוסף בעברית: אוטומציה של חדשנות עם למידת מכונה).

Tom Hope

PhD thesis, 2020

Viral Science: Masks, Speed Bumps, and Guard Rails.

Ganesh Mani, Tom Hope

Patterns, 2020

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers.

Aida Amini, Tom Hope, David Wadden, Madeleine van Zuylen, Eric Horvitz, Roy Schwartz, Hannaneh Hajishirzi

CoRR, 2020

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search.

Tom Hope, Jason Portenoy, Kishore Vasan, Jonathan Borchardt, Eric Horvitz, Daniel S. Weld, Marti A. Hearst, Jevin West

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Language (Re)modelling: Towards Embodied Language Understanding.

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Scaling up analogical innovation with crowds and AI.

Aniket Kittur, Lixiu Yu, Tom Hope, Joel Chan, Hila Lifshitz-Assaf, Karni Gilon, Felicia Y. Ng, Robert E. Kraut, Dafna Shahaf

Proc. Natl. Acad. Sci. USA, 2019

A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units.

Adi Szeskin, Lev Faivishevsky, Ashwin K. Muppalla, Amitai Armon, Tom Hope

CoRR, 2019

All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations.

Yehezkel S. Resheff, Itay Lieder, Tom Hope

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Learning a Faceted Customer Segmentation for Discovering new Business Opportunities at Intel.

Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

SOLVENT: A Mixed Initiative System for Finding Analogies between Research Papers.

Joel Chan, Joseph Chee Chang, Tom Hope, Dafna Shahaf, Aniket Kittur

Proc. ACM Hum. Comput. Interact., 2018

Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons.

Tom Hope, Dafna Shahaf

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Pair Matching: Transdisciplinary Study for Introducing Computational Intelligence to Guide Dog Associations.

June Han, Tom Hope

Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

Exploring the Creation of Useful Interfaces for Music Therapists.

Leya Breanna Baltaxe-Admony, Tom Hope, Kentaro Watanabe, Mircea Teodorescu, Sri Kurniawan, Takuichi Nishimura

Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion, 2018

2017

The Failure of Success Factors: Lessons from Success and Failure Cases of Enterprise Architecture Implementation [Best Paper Nominee].

Tom Hope, Eng Chew, Rajeev Sharma

Proceedings of the 2017 ACM SIGMIS Conference on Computers and People Research, 2017

Accelerating Innovation Through Analogy Mining.

Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Ballpark Learning: Estimating Labels from Rough Group Comparisons.

Tom Hope, Dafna Shahaf

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Scaling up Analogy with Crowdsourcing and Machine Learning.

Joel Chan, Tom Hope, Dafna Shahaf, Aniket Kittur

Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

2015

Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation.

Tom Hope, Avishai Wagner, Or Zuk

CoRR, 2015

2011

Spatial Design, Designers and Users: Exploring the Meaning of Multi-party Service Cognition.

Tom Hope, Mizuki Oka, Yasuhiro Hashimoto, Myeong-Hee Lee

Proceedings of the Human-Computer Interaction. Users and Applications, 2011

A collective map to capture human behavior for the design of public spaces.

Mizuki Oka, Tom Hope, Yasuhiro Hashimoto, Ryoko Uno, Myeong-Hee Lee

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2009

Network Analysis of an Emergent Massively Collaborative Creation Community: How Can People Create Videos Collaboratively without Collaboration?

Masahiro Hamasaki, Hideaki Takeda, Tom Hope, Takuichi Nishimura

Proceedings of the Third International Conference on Weblogs and Social Media, 2009

Familial collaborations in a museum.

Tom Hope, Yoshiyuki Nakamura, Toru Takahashi, Atsushi Nobayashi, Shota Fukuoka, Masahiro Hamasaki, Takuichi Nishimura

Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

2007

Locating Culture in HCI with Information Kiosks and Social Networks.

Tom Hope, Masahiro Hamasaki, Keisuke Ishida, Noriyuki Fujimura, Yoshiyuki Nakamura, Takuichi Nishimura

Proceedings of the Usability and Internationalization. HCI and Culture, 2007

2006

An integrated method for social network extraction.

Tom Hope, Takuichi Nishimura, Hideaki Takeda

Proceedings of the 15th international conference on World Wide Web, 2006

Context-Aware Weblog to Enhance Communication among Participants in a Conference.

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

Proceedings of the WEBIST 2006, 2006

Tabletop community: visualization of real world oriented social network.

Noriyuki Fujimura, Satoshi Fujiyoshi, Tom Hope, Takuichi Nishimura

Proceedings of the 14th ACM International Conference on Multimedia, 2006

Tabletop community: artwork for visualization of social interactions using a bipartite network.

Noriyuki Fujimura, Satoshi Fujiyoshi, Tom Hope, Takuichi Nishimura

Proceedings of the 14th ACM International Conference on Multimedia, 2006

Doing Community: Co-construction of Meaning and Use with Interactive Information Kiosks.

Tom Hope, Masahiro Hamasaki, Yutaka Matsuo, Yoshiyuki Nakamura, Noriyuki Fujimura, Takuichi Nishimura

Proceedings of the UbiComp 2006: Ubiquitous Computing, 2006

A Weblog Grounded to the Real World.

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

Proceedings of the Computational Approaches to Analyzing Weblogs, 2006