Dafna Shahaf

Orcid: 0000-0003-3261-0818

Affiliations:
  • The Hebrew University of Jerusalem, Israel


According to our database1, Dafna Shahaf authored at least 60 papers between 2006 and 2024.

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Bibliography

2024
ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies.
CoRR, 2024

State of What Art? A Call for Multi-Prompt LLM Evaluation.
CoRR, 2024

Imitation of Life: A Search Engine for Biologically Inspired Design.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories.
J. Am. Medical Informatics Assoc., November, 2023

The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck.
Commun. ACM, February, 2023

Harnessing collective intelligence for the future of learning - a co-constructed research and development agenda.
Hum. Comput., 2023

IRFL: Image Recognition of Figurative Language.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Towards Concept-Aware Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FAME: Flexible, Scalable Analogy Mappings Engine.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

VASR: Visual Analogies of Situation Recognition.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Augmenting Scientific Creativity with an Analogical Search Engine.
ACM Trans. Comput. Hum. Interact., December, 2022

The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck.
CoRR, 2022

Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking.
Proceedings of the 11th Joint Conference on Lexical and Computational Semantics, 2022

From Users to (Sense)Makers: On the Pivotal Role of Stigmergic Social Annotation in the Quest for Collective Sensemaking.
Proceedings of the HT '22: 33rd ACM Conference on Hypertext and Social Media, 2022

Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

"Alexa, Do You Want to Build a Snowman?" Characterizing Playful Requests to Conversational Agents.
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.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants.
CoRR, 2021

Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas.
CoRR, 2021

50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Catchphrase: Automatic Detection of Cultural References.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Ecological Semantics: Programming Environments for Situated Language Understanding.
CoRR, 2020

Coming to Terms: Automatic Formation of Neologisms in Hebrew.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

E-Commerce Dispute Resolution Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Language (Re)modelling: Towards Embodied Language Understanding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1).
ACM Trans. Knowl. Discov. Data, 2019

Scaling up analogical innovation with crowds and AI.
Proc. Natl. Acad. Sci. USA, 2019

Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Tractable near-optimal policies for crawling.
Proc. Natl. Acad. Sci. USA, 2018

SOLVENT: A Mixed Initiative System for Finding Analogies between Research Papers.
Proc. ACM Hum. Comput. Interact., 2018

Playing by the Book: Towards Agent-based Narrative Understanding through Role-playing and Simulation.
CoRR, 2018

Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Analogy Mining for Specific Design Needs.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
A Machine Learning Approach to Routing.
CoRR, 2017

Fun Facts: Automatic Trivia Fact Extraction from Wikipedia.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

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

Learning to Route.
Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Palo Alto, CA, USA, 2017

2016
Ballpark Learning: Estimating Labels from Rough Group Comparisons.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

A Hard Look at Soft Concepts.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Scaling up Analogy with Crowdsourcing and Machine Learning.
Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

2015
Information cartography.
Commun. ACM, 2015

Inside Jokes: Identifying Humorous Cartoon Captions.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2013
"Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator.
SIGWEB Newsl., 2013

Information cartography: creating zoomable, large-scale maps of information.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2012
Automatic Generation of Issue Maps: Structured, Interactive Outputs for Complex Information Needs.
PhD thesis, 2012

Connecting Two (or Less) Dots: Discovering Structure in News Articles.
ACM Trans. Knowl. Discov. Data, 2012

Trains of thought: generating information maps.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Metro maps of science.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010
Connecting the dots between news articles.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Generalized Task Markets for Human and Machine Computation.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Learning Thin Junction Trees via Graph Cuts.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Turning down the noise in the blogosphere.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Investigations of Continual Computation.
Proceedings of the IJCAI 2009, 2009

2007
Logical Circuit Filtering.
Proceedings of the IJCAI 2007, 2007

Towards a Theory of AI Completeness.
Proceedings of the Logical Formalizations of Commonsense Reasoning, 2007

2006
Learning Partially Observable Action Models: Efficient Algorithms.
Proceedings of the Proceedings, 2006

Learning Partially Observable Action Schemas.
Proceedings of the Proceedings, 2006


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