Probabilistic Models of Language Group

@ The University of Edinburgh

• About
• People
• Schedule
• Publications

People

Faculty

• 
  • Sharon Goldwater
  • probabilistic (esp. Bayesian) models of language acquisition, unsupervised learning for NLP, phonetics/phonology, morphology
• 
  • Frank Keller
  • probabilistic models of cognition, parsing, language production, language acquisition, language-vision interface, eyetracking
• 
  • James Kirby
  • probabilistic and statistical approaches to phonetics and phonology, language acquisition and change, categorisation and classification
• 
  • Mirella Lapata
  • probabilistic learning for natural language understanding and generation, language grounding, models of vision and language
• 
  • Mark Steedman
  • Computational linguistics, artificial intelligence, formal grammar, spoken intonation, statistical parsing, spoken language processing, animated conversational agents, computational musical analysis.

Postdoctoral Researchers

• 
  • Tejaswini Deoskar
  • statistical parsing, semi-supervised learning, linguistically expressive formalisms
  • Working with Mark Steedman
• 
  • Stella Frank
  • unsupervised Bayesian modeling, language acquisition, phoneme and lexical acquisition, unsupervised morphology and part of speech induction.
  • Working with Sharon Goldwater
• 
  • Oier Lopez De Lacalle
  • Word Sense Disambiguation, Information Extraction
  • Working with Mirella Lapata
• 
  • Kristian Woodsend
  • language generation, summarization, machine learning methods, large-scale optimization, mathematical modelling
  • Working with Mirella Lapata

Students

• 
  • Bharat Ram Ambati
  • Dependency Parsing, Hindi
  • Supervised by Mark Steedman
• 
  • William Blacoe
  • Distributional Compositional Semantics
  • Supervised by Mirella Lapata and Frank Keller
• 
  • Christos Christodoulopoulos
  • unsupervised POS induction, multilingual POS analysis, semantic primitives
  • Supervised by Mark Steedman
• 
  • Desmond Elliott
  • natural language processing, computer vision, computational linguistics, visual processing, information retrieval
  • Supervised by Frank Keller
• 
  • Aciel Eshky
  • Currently working on applying automated planning to high-level dialogue problems, but generally interested in most language related topics. Also interested in probabilistic modeling.
  • Supervised by Mark Steedman and Ron Petrick
• 
  • Diego Frassinelli
  • human cognition, probabilistic models of cognition, multimodal perception, feature representations
  • Supervised by Frank Keller
• 
  • Mark Granroth-Wilding
  • musical grammar, ccg, music processing, tonality theory, statistical parsing, harmony analysis
  • Supervised by Mark Steedman and Sharon Goldwater
• 
  • Bevan K. Jones
  • Bayesian models of language acquisition as it relates to non-linguistic context, semantic parsing, grammar induction, unsupervised machine learning (especially nonparametric Bayesian methods).
  • Supervised by Sharon Goldwater and Mark Johnson
• 
  • Ioannis (Yannis) Konstas
  • Concept-to-Text Natural Language Generation, Machine Translation, Semantic Parsing, Unsupervised Bayesian Modelling, Machine Learning
  • Supervised by Mirella Lapata
• 
  • Sean J. Moran
  • Information retrieval, Large-scale nlp (randomization and streaming algorithms), Machine learning, Computer vision
  • Supervised by Victor Lavrenko
• 
  • John K Pate
  • child language acquisition, prosody, syntax, grammar induction
  • Supervised by Sharon Goldwater and Simon King
• 
  • Daniel Renshaw
  • Automatic illustration of semi-structured documents, generative models, information retrieval.
  • Supervised by Mirella Lapata and Charles Sutton
• 
  • Carina Silberer
  • natural language processing, computational linguistics
  • Supervised by Mirella Lapata

Alumni

• 
  • Ben Allison
  • computer vision; classification; generative models; language modelling; sentiment detection
  • Worked with Frank Keller
• 
  • Moreno I. Coco
  • sentence processing, visual cognition, eye-tracking, coordination of cognition, interaction vision-language, cross-modal referentiality.
  • Worked with Frank Keller
• 
  • Micha Elsner
  • text and speech normalization, language acquisition, discourse coherence and narrative structure
  • Worked with Sharon Goldwater
• 
  • Trevor Fountain
  • natural language categorization, nonparametric clustering, human category acquisition
  • Supervised by Mirella Lapata
• 
  • Tom Kwiatkowski
  • Semantics, parsing, modeling language acquisition and structure learning.
  • Supervised by Mark Steedman and Sharon Goldwater
• 
  • Federico Sangati
  • dependency and constituency parsing, syntactic representations, corpora annotation
  • Worked with Mirella Lapata
• 
  • Violeta Seretan
  • text simplification, text-to-text generation, language production, integer linear programming
  • Worked with Mirella Lapata