GeoVerse Lab
โ† AI & Computing Sciences Division

Natural Language Processing Center

Extracts knowledge from scientific literature and enables intelligent document processing for geoscience research through geoscience LLMs, named entity recognition for geological terms, semantic search over publications, and automated report generation from well logs.

Machine Learning CenterNatural Language Processing CenterComputer Vision CenterHigh-Performance Computing CenterQuantum Computing CenterGenerative AI & Foundation Models CenterReinforcement Learning & Agents CenterAI Safety & Alignment CenterAI for Science CenterRobotics & Embodied AI Center
Research Fields 14
Formal Grammar & Syntactic Parsing
๐ŸŒณ Formal Grammar & Syntactic Parsing
Formal grammar is a finite system of production rules that exactly generates the set of stโ€ฆ
Formal & Compositional Semantics
๐Ÿงฎ Formal & Compositional Semantics
Formal and compositional semantics assigns mathematical meaning to natural language by traโ€ฆ
Machine Translation Theory & Categorial Grammar
๐ŸŒ Machine Translation Theory & Categorial Grammar
Machine translation is the automatic conversion of text or speech from one natural languagโ€ฆ
Automatic Speech Recognition & Statistical Language Modeling
๐ŸŽ™๏ธ Automatic Speech Recognition & Statistical Language Modeling
Automatic speech recognition transcribes spoken utterances into text by treating recognitiโ€ฆ
Named Entity Recognition & Term-Weighting Information Extraction
๐Ÿท๏ธ Named Entity Recognition & Term-Weighting Information Extraction
Named entity recognition (NER) locates mentions of entities such as people, organisations,โ€ฆ
Computational Lexicography & Lexical Semantic Networks
๐Ÿ“– Computational Lexicography & Lexical Semantic Networks
Computational lexicography builds machine-usable lexical databases in which words are orgaโ€ฆ
Discourse & Pragmatics
๐Ÿ’ฌ Discourse & Pragmatics
Pragmatics studies how speakers convey more than the literal meaning of their sentences, aโ€ฆ
Knowledge Representation & Conceptual Understanding for NLU
๐Ÿง  Knowledge Representation & Conceptual Understanding for NLU
Knowledge representation for natural language understanding studies structured, language-iโ€ฆ
Distributional Structural Analysis & Morphology
๐Ÿ”ฌ Distributional Structural Analysis & Morphology
Distributional structural analysis is the programme, founded by Zellig Harris, of discoverโ€ฆ
Corpus Linguistics & Part-of-Speech Tagging
๐Ÿ“š Corpus Linguistics & Part-of-Speech Tagging
Corpus linguistics studies language through systematically sampled, machine-readable colleโ€ฆ
Automatic Text Summarization & Keyword Extraction
๐Ÿ“ Automatic Text Summarization & Keyword Extraction
Automatic text summarization produces a shorter text that preserves the information contenโ€ฆ
Topic Modeling & Latent Semantic Structure
๐Ÿ“Š Topic Modeling & Latent Semantic Structure
Topic modeling discovers the hidden thematic variables that generate a collection of documโ€ฆ
Domain-Specific Scientific Document Classification
๐Ÿ—‚๏ธ Domain-Specific Scientific Document Classification
Scientific document classification organises research literature by assigning documents toโ€ฆ
Reference Theory & Anaphora/Coreference Resolution
๐Ÿ”— Reference Theory & Anaphora/Coreference Resolution
Coreference resolution decides which expressions in a text refer to the same real-world enโ€ฆ