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Picture of Mihai Surdeanu

Mihai Surdeanu

Associate Professor, Cognitive Science - GIDP | Member of the Graduate Faculty | Professor, BIO5 Institute | Professor, Computer Science

Computer Science

Collaboration(38)

Hao Zhang
Nirav Merchant
Denise Roe
Clayton Morrison
Andrew Carnie

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Grants(17)

SKEMA: Scientific Knowledge Extraction and Model Analysis
Active·2022·$145.1K / $1.5M·
External
Co-Investigator (COI)
knowledge extraction, data analysis, scientific modeling, machine learning, natural language processing
DASS: A Framework for Accountable Smart Contracts Wills
Active·2022·$174.7K / $748.3K·
External
Co-Investigator (COI)
smart contracts, blockchain, legaltech, accountability, estate planning
HEURISTICS: Hyperlocal Elicitation and Understanding of Risks to Stability In Complex Systems
Active·2021·$1.2M·
External
Principal Investigator (PI)
heuristics, risk analysis, complex systems, stability, hyperlocal
III: Small: Accessible and Interpretable Machine Reading Methods for Extracting Structured Information from Text
Active·2020·$362.5K / $499.9K·
External
Principal Investigator (PI)
natural language processing, machine learning, information extraction, text mining, artificial intelligence
AutoMATES: Automated Model Assembly from Text, Equations, and Software
2018·$549.1K / $2.2M·
External
Co-Investigator (COI)
automated modeling, text analysis, software integration, equation extraction, machine learning

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Publications(104)

Recent

Explainable Multi-hoVerbal Reasoning Through Internal Monologue

2021

verbal reasoning, explainable ai, internal monologue, cognitive science, language understanding

How May I HelYou? Using Neural Text Simplification to Improve Downstream NLP Tasks

2021

neural networks, natural language processing, text simplification, nlp applications, language understanding

Cheaand good? simple and effective data augmentation for low resource machine reading

2021

data augmentation, machine reading, low resource, simple techniques, effective methods

Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification

2021

collaborative learning, knowledge distillation, fact verification, domain transfer, collective learning

Using the Hammer Only on Nails: A Hybrid Method for Evidence Retrieval for Question Answering

2021

information retrieval, question answering, natural language processing, machine learning, hybrid methods

If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hoQuestion Answering

2021

information retrieval, question answering, unsupervised learning, natural language processing, multi-hop reasoning

Interpretability Rules: Jointly Bootstrapping a Neural Relation Extractor with an Explanation Decoder

2021

neural networks, relation extraction, interpretability, bootstrapping, explanation decoder

Data and Model Distillation as a Solution for Domain-transferable Fact Verification

2021

data distillation, model distillation, domain-transferable, fact verification, solution

Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

2020

natural language processing, machine learning, information extraction, neural networks, interpretability

Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?

2020

natural language processing, machine learning, artificial intelligence, generative models, inferential rules