Faculty

Institution

Unit

Venue

Lise Getoor

Adjunct Professor

University of Maryland, College Park

Affiliations

College of Computer, Mathematical, and Natural Sciences

Department of Computer Science

Lise Getoor is currently serving as a College Of Computer, Mathematical, And Natural Sciences Adjunct Professor at University of Maryland, College Park.

Honors

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Experiences

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Education

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Lise Getoor

University of Maryland, College Park

Adjunct Professor

You can click a keyword to filter the displayed items

machine learning data science computer science data mining knowledge discovery natural language processing artificial intelligence information retrieval statistics informatics computational intelligence social network analysis systems engineering network science information technology statistical relational learning probabilistic soft logic machine learning research graph analysis knowledge management online information database theory collective classification supervised learning entity resolution automated reasoning intelligent computing structured prediction metadata integration probabilistic reasoning relational data probabilistic databases affiliation networks information management communication security knowledge engineering knowledge technology data engineering link prediction link analysis computational learning theory open source indicators crisis management recommender systems semantic web databases news analytics forecasting methodology classification method network evolution information theory collective entity resolution probabilistic models visual analytic tool link mining data privacy political behavior query analysis resource integration active learning argumentation analysis online learning disinformation detection geospatial data streaming algorithms social context similarity search reputation management knowledge data engineering social capital protein bioinformatics link-based classification knowledge graph identification latin america hybrid recommender systems personalized explanations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. arXiv (Cornell University) (2024)

Dickens, CharlesPryor, ConnorGao, ChangyuAlbalak, AlonAugustine, EriqWang, WilliamWright, StephenGetoor, Lise

neural-symbolic systemsmathematical frameworkmachine learningmathematicsapplied mathematicscomputer science

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. arXiv (Cornell University) (2024)

Dickens, CharlesGao, ChangyuPryor, ConnorWright, StephenGetoor, Lise

convex optimizationcomputational neuroscienceneuro-symbolic inferencecomputer sciencebilevel optimization

Modeling Patterns for Neural-Symbolic Reasoning Using Energy-Based Models. Proceedings of the AAAI Symposium Series (2024)

Charles DickensConnor PryorLise Getoor

machine intelligencecognitive modelingcomputational neuroscienceenergy-based modelsartificial intelligencenatural language processingbrain modelingcomputational intelligencecognitive sciencemachine learningneuroscience

CAUSALDIALOGUE: Modeling Utterance-Level Causality in Conversations. Findings of the Association for Computational Linguistics: ACL 2022 (2023)

Yi-Lin TuanAlon AlbalakWenda XuMichael SaxonConnor PryorLise GetoorWilliam Yang Wang

cognitive modelingcommunicationcausalityconversation analysisnatural language processingmodeling utterance-level causalitybehavioral scienceslinguisticsdiscourse analysis

Collective Grounding: Applying Database Techniques to Grounding Templated Models. Proceedings of the VLDB Endowment (2023)

Eriq AugustineLise Getoor

systems engineeringcollective groundingtemplated modelsapplying database techniquesmachine learning

NEUPSL: Neural Probabilistic Soft Logic. International Joint Conference on Artificial Intelligence (2023)

Connor PryorCharles DickensEriq AugustineAlon AlbalakWilliam Yang WangLise Getoor

machine intelligencemachine learningartificial intelligencedeep learningneural computationcomputational intelligencecomputer scienceautomated reasoning

D-Rex: Dialogue Relation Extraction With Explanations. arXiv (Cornell University) (2022)

Alon AlbalakVarun EmbarYi-Lin TuanLise GetoorWilliam Yang Wang

semanticscomputational linguisticsdeep learningnatural language processingdialogue relation extractionlinguisticsknowledge representation and reasoning

Emotion Recognition in Conversation Using Probabilistic Soft Logic. arXiv (Cornell University) (2022)

Augustine, EriqJandaghi, PegahAlbalak, AlonPryor, ConnorDickens, CharlesWang, WilliamGetoor, Lise

communicationemotion recognitionnatural language processingprobabilistic soft logicmachine learninglinguisticsbehavioral sciences

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)

Alon AlbalakYi-Lin TuanPegah JandaghiConnor PryorLuke YoffeDeepak RamachandranLise GetoorJay PujaraWilliam Yang Wang

few-sample task transfernatural language processingcomputer scienceopen-domain dialogue

Multi-Relational Affinity Propagation. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2022)

Hossam ShararaLise Getoor

network analysismachine learninginformation propagationcomputer sciencemulti-relational affinity propagation

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Lise Getoor

Adjunct Professor

University of Maryland, College Park

Affiliations

College of Computer, Mathematical, and Natural Sciences

Department of Computer Science

Lise Getoor is currently serving as a College Of Computer, Mathematical, And Natural Sciences Adjunct Professor at University of Maryland, College Park.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Lise Getoor

University of Maryland, College Park

Adjunct Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. arXiv (Cornell University) (2024)

Dickens, CharlesPryor, ConnorGao, ChangyuAlbalak, AlonAugustine, EriqWang, WilliamWright, StephenGetoor, Lise

neural-symbolic systemsmathematical frameworkmachine learningmathematicsapplied mathematicscomputer science

Convex and Bilevel Optimization for Neuro-Symbolic Inference and Learning. arXiv (Cornell University) (2024)

Dickens, CharlesGao, ChangyuPryor, ConnorWright, StephenGetoor, Lise

convex optimizationcomputational neuroscienceneuro-symbolic inferencecomputer sciencebilevel optimization

Modeling Patterns for Neural-Symbolic Reasoning Using Energy-Based Models. Proceedings of the AAAI Symposium Series (2024)

Charles DickensConnor PryorLise Getoor

CAUSALDIALOGUE: Modeling Utterance-Level Causality in Conversations. Findings of the Association for Computational Linguistics: ACL 2022 (2023)

Yi-Lin TuanAlon AlbalakWenda XuMichael SaxonConnor PryorLise GetoorWilliam Yang Wang

cognitive modelingcommunicationcausalityconversation analysisnatural language processingmodeling utterance-level causalitybehavioral scienceslinguisticsdiscourse analysis

Collective Grounding: Applying Database Techniques to Grounding Templated Models. Proceedings of the VLDB Endowment (2023)

Eriq AugustineLise Getoor

systems engineeringcollective groundingtemplated modelsapplying database techniquesmachine learning

NEUPSL: Neural Probabilistic Soft Logic. International Joint Conference on Artificial Intelligence (2023)

Connor PryorCharles DickensEriq AugustineAlon AlbalakWilliam Yang WangLise Getoor

machine intelligencemachine learningartificial intelligencedeep learningneural computationcomputational intelligencecomputer scienceautomated reasoning

D-Rex: Dialogue Relation Extraction With Explanations. arXiv (Cornell University) (2022)

Alon AlbalakVarun EmbarYi-Lin TuanLise GetoorWilliam Yang Wang

semanticscomputational linguisticsdeep learningnatural language processingdialogue relation extractionlinguisticsknowledge representation and reasoning

Emotion Recognition in Conversation Using Probabilistic Soft Logic. arXiv (Cornell University) (2022)

Augustine, EriqJandaghi, PegahAlbalak, AlonPryor, ConnorDickens, CharlesWang, WilliamGetoor, Lise

communicationemotion recognitionnatural language processingprobabilistic soft logicmachine learninglinguisticsbehavioral sciences

FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)

Alon AlbalakYi-Lin TuanPegah JandaghiConnor PryorLuke YoffeDeepak RamachandranLise GetoorJay PujaraWilliam Yang Wang

few-sample task transfernatural language processingcomputer scienceopen-domain dialogue

Multi-Relational Affinity Propagation. 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (2022)

Hossam ShararaLise Getoor

network analysismachine learninginformation propagationcomputer sciencemulti-relational affinity propagation

1
2
3
4
5
30
10 / page

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artificial society

multidisciplinary ai

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machine learning algorithms

Yizhou Sun

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analytics

evolutionary data mining

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social profiling

social computing

Wei Wang

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explainable machine learning

applied artificial intelligence

Srinivasan Parthasarathy

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biomedical informatics

high performance computing

Zoran Obradovic

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big data acquisition

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Craig A. Knoblock

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schema alignment

ontology alignment