Phoster

Research and Development

Category: Computational Linguistics

Automated Planning and Dialogue Systems

  1. Automated Planning
  2. Dialogue Systems
  3. Intention and Plan Recognition
  4. Natural Language Generation
  5. Multimedia Content Generation and Instructional Design

Artificial Wisdom

  1. Introduction
  2. Conversational Search and Recommendation
  3. Anecdotes
  4. Proverbs
  5. Quotations
  6. Lyrics
  7. Poetry
  8. Narrative
  9. Allusion
  10. Humor

Modeling Users and Comprehension to Enhance Natural Language and Narrative Generation

  1. Genericity and Specificity
  2. User Modeling
  3. Player Modeling
  4. Student Modeling
  5. Cognitive Modeling
  6. Reading Comprehension
  7. Narrative Comprehension
  8. Situation Models
  9. Attention and Focus
  10. Inference
  11. Social Cognition
  12. Affect and Emotion
  13. Cognitive Load
  14. Readability
  15. Flow
  16. Natural Language Generation
  17. Narrative Generation

The Assessment of Language and the Evaluation of Natural Language Generation

  1. Assessing Mathematics Exercises and Proofs
  2. Assessing Essays and Open-ended Verbal Responses
  3. Assessing and Assisting Writing
  4. Assessing Argumentation
  5. Evaluating Natural Language Generation

Natural Language Generation and Style

  1. Stylistics
  2. Computational Stylistics
  3. Corpus Stylistics
  4. Cognitive Stylistics
  5. Affect
  6. Sentiment and Opinion
  7. Personality
  8. Author Identification
  9. Sociolinguistics
  10. Formality
  11. Expression
  12. Natural Language Generation

Natural Language Generation and Revision

  1. Writing and Revision
  2. Natural Language Generation and Revision
  3. Natural language Generation and Evaluation
  4. Multi-criteria Search and Planning
  5. Time-dependent Planning
  6. Anytime Algorithms

Interactive Narrative, Digital Directors and Drama and Experience Managers

  1. Narrative Generation
  2. Interactive Drama Systems

Language and Mathematics

  1. Language and Mathematics Education
  2. Language and Mathematics Tutoring
  3. Written Mathematical Language
  4. Symbolic Declarations, Linguistic Precedents, Lexical Entrainment and Differentiation
  5. Vocabulary Learning and Mathematical Vocabulary Learning
  6. Understanding Mathematical Expressions
  7. Context and the Understanding of Mathematical Language
  8. Text Inferencing and Reading Comprehension
  9. Generating Natural Language from Mathematics
  10. Natural Language Generation Macroplanning and Mathematics
  11. Generating Referring Expressions
  12. Lexical Selection
  13. Generating Mathematical Expressions for Inferencing and Presentation

Mathematics Educational Technology and Multimodal User Interfaces

  1. Multimodal Input and Mathematics
  2. Mathematical Sketches and Diagrams
  3. Multimodal Input, Note-taking and Context

Literal and Figurative Language and Verbal and Visual Analogies, Metaphors and Blends

  1. Interpreting and Understanding Literal and Figurative Language
  2. Analogy, Metaphor and Blending
  3. The Semantics and Pragmatics of Analogy, Metaphor and Blending
  4. Visual Analogy, Metaphor and Blending
  5. Context and the Comprehension of Analogies, Metaphors and Blends
  6. Computational Models of Understanding Analogies, Metaphors and Blends
  7. Generating Descriptive and Explanatory Analogies, Metaphors and Blending