David McClosky

MagiQ Technologies (United States) — United States

Computer Science · Physical Sciences

19h-index9.5kcitations29works0.32yr avg
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Research Topics

Topic Modeling(22), Natural Language Processing Techniques(22), Speech and dialogue systems(7), Biomedical Text Mining and Ontologies(5), Text Readability and Simplification(3)

Publications29 total

Source apportionment of air pollution burden using geometric non-negative matrix factorization and high-throughput multi-pollutant air sensor data in Curtis Bay, Baltimore, USA
ArXiv.org·2025Open Access
Relation of wind direction and coal terminal activity patterns with air pollution burden in a community bordering a coal export terminal, Curtis Bay, Maryland, USA
Air Quality Atmosphere & Health·2025· 1 citedOpen Access
Aeromancy: Towards More Reproducible AI and Machine Learning
2024Open Access
The Role of Context Types and Dimensionality in Learning Word Embeddings
2016· 16 citedOpen Access
Syntactic Parse Fusion
2015· 9 citedOpen Access
Parsing Paraphrases with Joint Inference
2015· 7 citedOpen Access
The Stanford CoreNLP Natural Language Processing Toolkit
2014· 7.2k citedOpen Access
BLLIP North American News Text
FDAT·2012· 2 citedOpen Access
Learning Constraints for Consistent Timeline Extraction
2012· 18 cited
Combining joint models for biomedical event extraction
BMC Bioinformatics·2012· 38 citedOpen Access
Model Combination for Event Extraction in BioNLP 2011
Meeting of the Association for Computational Linguistics·2011· 76 cited
Event Extraction as Dependency Parsing for BioNLP 2011
2011· 44 cited
Customizing an Information Extraction System to a New Domain
2011· 25 cited
Event Extraction as Dependency Parsing
2011· 174 cited
Stanford's Distantly-Supervised Slot-Filling System
Theory and applications of categories·2011· 28 cited
Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
2010· 28 cited
Automatic Domain Adaptation for Parsing
North American Chapter of the Association for Computational Linguistics·2010· 160 cited
A Simple Distant Supervision Approach for the TAC-KBP Slot Filling Task
2010· 57 cited
Any domain parsing: automatic domain adaptation for natural language parsing
2010· 130 cited
Improving unsupervised dependency parsing with richer contexts and smoothing
2009· 128 citedOpen Access
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Frequent Co-authors

Eugene Charniak(10), Christopher D. Manning(9), Mihai Surdeanu(8), Mark Johnson(7), John Bauer(3), Sharon Goldwater(2), William Headden(2), Sebastian Riedel(2), Andrew McCallum(2), Valentin I. Spitkovsky(2), Do Kook Choe(2), Lauren Deanes(2), Bonita Salmerón(2), Matthew A. Aubourg(2), Laura Schmidt(2), Gregory G. Sawtell(2), David H. Hagan(2), Nicholas J. Spada(2), Russell R. Dickerson(2), Abhirup Datta(2)