Faculty

Institution

Unit

Venue

Laura Biester

Assistant Professor of Computer Science

Middlebury College

Affiliations

Middlebury College

School Of Computer Science

Laura Biester is currently serving as a Middlebury College Assistant Professor of Computer Science at Middlebury College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Laura Biester

Middlebury College

Assistant Professor of Computer Science

You can click a keyword to filter the displayed items

mental health psychology natural language processing behavioral sciences social media cognitive science psychiatry mass communication scholarly communication covid-19 natural language generation semantic evaluation affective computing applied linguistics language resources nlp task predictive learning realistic depression simulation information science human behavior language processing in the brain knowledge management information management online information ethology human-computer interaction machine learning research computational intelligence affective neuroscience language policy general linguistics machine translation online communities information technology management ehealth information society human communication language technologies cyberpsychology classifier systems data classification intelligent classification social semantic web classification method subjective well-being community resilience community building internet science model optimization human behaviour css researchers fourth workshop cognitive changes pre-diagnosis data textual representations building location embeddings physical trajectories temporal arcs homework assignments communication world wide web computational social science language data science text mining informatics knowledge discovery semantics computational linguistics linguistics context (linguistics) computing education learning analytics corpus linguistics education social sciences

Notable Scholarly Works

Notable Federal Grants

Collaborators

EEYORE: Realistic Depression Simulation via Expert-In-The-Loop Supervised and Preference Optimization. (2025)

artificial intelligenceaffective computingmodel optimizationpredictive learningrealistic depression simulationcomputational intelligencemodeling and simulationdata scienceapplied mathematicsmachine learning

EEYORE: Realistic Depression Simulation via Supervised and Preference Optimization. (2025)

affective computingcomputational sciencepredictive learningrealistic depression simulationmodeling and simulationdata scienceaffective neurosciencedepression

Representing and Clustering Errors in Offensive Language Detection. (2025)

linguisticsapplied linguisticscorpus linguisticslanguage resourcescomputational linguisticslanguagesociolinguistics

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. (2024)

linguisticsnatural language generationapplied linguisticsgrammarlanguage modelslanguage policysemantic evaluationcorpus linguisticslanguage resourcessyntaxcomputational linguisticsgeneral linguisticscommunicationlanguagenatural language processingmachine translationtext mining

How Developments in Natural Language Processing Help Us in Understanding Human Behaviour. Nature Human Behaviour (2024)

Rada MihalceaLaura BiesterRyan L. BoydZhijing JinVeronica Perez-RosasSteven WilsonJames W. Pennebaker

human behaviorlinguisticsethologyhuman communicationlanguage processing in the braincognitive sciencepsycholinguisticsnatural language processinghuman behaviourbehavioral sciences

Tightly Coupled Worksheets and Homework Assignments for NLP. (2024)

Laura BiesterWinston Wu

nlp tasknatural language processinghomework assignmentseducation

Improving Mental Health Classifier Generalization With Pre-Diagnosis Data. Proceedings of the International AAAI Conference on Web and Social Media (2023)

Yujian LiuLaura BiesterRada Mihalcea

mental healthclassifier systemsdata classificationsocial mediaintelligent classificationsocial semantic webmachine learningclassification methodcommunicationpre-diagnosis datamass communicationhuman-computer interactionmachine learning researchcognitive sciencebehavioral sciencessocial computing

Temporal Arcs of Mental Health: Patterns Behind Changes in Depression Over Time. (2023)

Laura BiesterJames W. PennebakerRada Mihalcea

mental healthtemporal arcslongitudinal studiesdepressionpsychology

We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience. Proceedings of the International AAAI Conference on Web and Social Media (2023)

MeiXing DongRuixuan SunLaura BiesterRada Mihalcea

mental healthsubjective well-beingscholarly communicationcommunity resiliencepsychiatryresiliencesocial mediacommunity engagementsocial sciencescommunity buildinginternet sciencemass communicationpsychology

Emotional and Cognitive Changes Surrounding Online Depression Identity Claims. PLoS ONE (2022)

Laura BiesterJames PennebakerRada Mihalcea

mental healthpsychiatrysocial mediacognitive changescognitive sciencedepressionpsychologycyberpsychology

1
2
10 / page

Laura Biester

Assistant Professor of Computer Science

Middlebury College

Affiliations

Middlebury College

School Of Computer Science

Laura Biester is currently serving as a Middlebury College Assistant Professor of Computer Science at Middlebury College.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Laura Biester

Middlebury College

Assistant Professor of Computer Science

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

EEYORE: Realistic Depression Simulation via Expert-In-The-Loop Supervised and Preference Optimization. (2025)

EEYORE: Realistic Depression Simulation via Supervised and Preference Optimization. (2025)

affective computingcomputational sciencepredictive learningrealistic depression simulationmodeling and simulationdata scienceaffective neurosciencedepression

Representing and Clustering Errors in Offensive Language Detection. (2025)

linguisticsapplied linguisticscorpus linguisticslanguage resourcescomputational linguisticslanguagesociolinguistics

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models. (2024)

How Developments in Natural Language Processing Help Us in Understanding Human Behaviour. Nature Human Behaviour (2024)

Rada MihalceaLaura BiesterRyan L. BoydZhijing JinVeronica Perez-RosasSteven WilsonJames W. Pennebaker

human behaviorlinguisticsethologyhuman communicationlanguage processing in the braincognitive sciencepsycholinguisticsnatural language processinghuman behaviourbehavioral sciences

Tightly Coupled Worksheets and Homework Assignments for NLP. (2024)

Laura BiesterWinston Wu

nlp tasknatural language processinghomework assignmentseducation

Improving Mental Health Classifier Generalization With Pre-Diagnosis Data. Proceedings of the International AAAI Conference on Web and Social Media (2023)

Yujian LiuLaura BiesterRada Mihalcea

Temporal Arcs of Mental Health: Patterns Behind Changes in Depression Over Time. (2023)

Laura BiesterJames W. PennebakerRada Mihalcea

mental healthtemporal arcslongitudinal studiesdepressionpsychology

We Are in This Together: Quantifying Community Subjective Wellbeing and Resilience. Proceedings of the International AAAI Conference on Web and Social Media (2023)

MeiXing DongRuixuan SunLaura BiesterRada Mihalcea

Emotional and Cognitive Changes Surrounding Online Depression Identity Claims. PLoS ONE (2022)

Laura BiesterJames PennebakerRada Mihalcea

mental healthpsychiatrysocial mediacognitive changescognitive sciencedepressionpsychologycyberpsychology

1
2
10 / page