92586 - COMPUTATIONAL LINGUISTICS

Contenuti

Conoscenze e abilità da conseguire

The student will learn the basic theoretical aspects of computational linguistics/natural language processing and will acquire practical skills to perform from tokenization and vectorization to the computation of similarities and supervised models (e.g., for topic identification, structural analysis, meaning analysis).

 

Whereas the contents could be (slightly) adapted according to the students skills and interests, the general structure of the course will be as follows.

1. Introduction to Python scripting

2. Word tokenization and part of speech

3. Vectorization and semantic analysis

4. Word vectors

5. Applications

Testi/Bibliografia

1. Hobson Lane, Cole Howard, Hannes Hapke (2019). Natural Language Processing in Action Understanding, analyzing, and generating text with Python. Manning Publications.
2. Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python.
   
   Optional
   
3. Dan Jurafsky and James H. Martin. Speech and Language Processing (3rd ed. draft) Draft chapters in progress, October 16, 2019
   
4. Yoav Goldberg. (2017). Neural Network Methods for Natural Language Processing (G. Hirst, ed.). Morgan & Claypool Publishers.
5. Emily M. Bender (2013). Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers.
6. Kenneth Ward Church. Unix for poets.
   

Metodi didattici

The course will be a combination of seminar and practical sessions. In either case, active participation of the students will be expected. We will start with an introduction to the Python programming language and follow with a (practical) description of diverse models and tasks.

Attendance to a minimum of 70% of the lessons is a must.

Modalità di verifica e valutazione dell'apprendimento

The student will work on addressing a problem within her own research interests with the acquired knowledge during the course. Upon agreement of the topic, the student will work on solving the problem and will write a written report. A poster session will be organized at the end of the course in which the students will present their research work.

The final evaluation will be computed as a combination of both report and poster presentation.

Strumenti a supporto della didattica

Seminars will be carried out with slides and coding will be carried out with jupyter notebooks . Continuous exercises will be carried out.

Orario di ricevimento

Consulta il sito web di Luis Alberto Barron Cedeno