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Natural Language Processing Department

The Natural Language Processing Department teaches the technologies behind extracting and processing textual knowledge - geoscience-specific LLMs (GeoLLM), named entity recognition for geological terms, semantic search over publications, and automated report generation from well logs. Students build systems that automatically extract and structure information from vast scientific literature and field records, gaining hands-on experience constructing domain-specific NLP models. Graduates can design and implement intelligent document-processing systems that turn unstructured geoscience text into structured knowledge.

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Field-based Curriculum · 14

This department's curriculum is built directly on the GeoVerse Lab research fields its professors hold — click a field to see how it is taught.

Formal Grammar & Syntactic Parsing
Formal Grammar & Syntactic Parsing
This course teaches formal grammar, which makes the hidden structure of sentence…
Emil Leon Post
Formal & Compositional Semantics
Formal & Compositional Semantics
This course teaches formal semantics, which handles natural language meaning thr…
Richard Montague
Machine Translation Theory & Categorial Grammar
Machine Translation Theory & Categorial Grammar
This course treats translation as a system-level decision problem, critically tr…
Yehoshua Bar-Hillel
Automatic Speech Recognition & Statistical Language Modeling
Automatic Speech Recognition & Statistical Language Modeling
Learners treat speech recognition as a statistical decision problem — choosing t…
Frederick Jelinek
Named Entity Recognition & Term-Weighting Information Extraction
Named Entity Recognition & Term-Weighting Information Extraction
This course teaches named entity recognition—turning unstructured documents into…
Karen Spärck Jones
Computational Lexicography & Lexical Semantic Networks
Computational Lexicography & Lexical Semantic Networks
This course teaches computational lexicography, where words are organised as net…
George A. Miller
Discourse & Pragmatics
Discourse & Pragmatics
This course teaches pragmatics—the inference of unstated meaning—and discourse s…
Paul Grice
Knowledge Representation & Conceptual Understanding for NLU
Knowledge Representation & Conceptual Understanding for NLU
This course teaches students to represent and reason over content rather than wo…
Roger Schank
Distributional Structural Analysis & Morphology
Distributional Structural Analysis & Morphology
This course teaches Harris's programme of discovering linguistic structure purel…
Zellig Harris
Corpus Linguistics & Part-of-Speech Tagging
Corpus Linguistics & Part-of-Speech Tagging
Learners master the methodology of treating corpora as designed samples rather t…
Henry Kučera
Automatic Text Summarization & Keyword Extraction
Automatic Text Summarization & Keyword Extraction
This course teaches automatic summarization and keyword extraction as the balanc…
Hans Peter Luhn
Topic Modeling & Latent Semantic Structure
Topic Modeling & Latent Semantic Structure
This course teaches topic modeling—discovering the hidden thematic structure of …
Charles Spearman
Domain-Specific Scientific Document Classification
Domain-Specific Scientific Document Classification
Learners study faceted classification and controlled vocabularies, which organis…
S. R. Ranganathan
Reference Theory & Anaphora/Coreference Resolution
Reference Theory & Anaphora/Coreference Resolution
Learners study coreference resolution — chaining the expressions in a text that …
Bertrand Russell