Natural Language Processing (MSc)

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• The underlying algorithmic and linguistic basis for NLP techniques
• Key concepts, tools and approaches for handling textual data
• Algorithms commonly used for NLP problems such as information extraction, machine translation, text summarization and question answering

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Show an appreciation of the landscape of tools used for NLP within application areas
• Describe and critically appraise the different subareas of NLP

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Implement NLP algorithms and techniques
• Process text corpora ready for application of NLP algorithms and techniques

Working with Text Corpora

• Text Normalization
• Regular Expressions
• Evaluation Metrics and Linguistic Resources

Vector Semantics and Embeddings

• Lexical and Vector Semantics
• TF-IDF
• Word2Vec

Language Modelling and Parts of Speech Tagging

• Language Modelling
• Parts of Speech Tagging

Syntactic and Semantic Parsing

• Syntactic parsing
• Text Chunking
• Dependency Parsing
• Word Senses and WordNet

Sequence Processing with Recurrent Neural Networks

• Recurrent Neural Networks
• Sequence Processing for NLP Applications
• Managing Context using LSTM’s and GRU’s

Information Extraction

• Named Entity Recognition
• Relation Extraction
• Temporal, Event and Location Extraction

Applications of NLP (example topics below)

• Statistical Machine Translation
• Text Summarization
• Question Answering

Lectures and formative laboratories.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.