Vorlesungsfolien

1. Natural Language and the Computer
2. Words and Wordforms
   • Lexical items, dictionary lookup, word segmentation
   • Morphological analysis, morphophonology
   • Lexical semantics, distributed representations
   • Part-of-speech tagging, word sense disambiguation
3. Phrases and Sentences
   • Language models, chunking, structural descriptions
   • Parsing with PSG, probabilistic parsing
   • Dependency parsing
   • Dependency parsing 2 (Arne)
     • Structured Training for Neural Network Transition-Based Parsing -- learning feature embeddings for parsing
     • BiLSTMs for dependency parsing
     • Machine translation with visual features
     • Globally Normalized Transition-Based Neural Networks -- how to better train a system that uses beam search (not discussed!)
   • Principles and Parameters
   • Unification-based grammars
   • Semantics construction
4. Discourse: Texts and Dialogs