vitojph / 201911-nlp-uned-eci

201911-nlp-uned-eci

Configuración

Asegúrate de que tienes instalado conda y recrea un entorno virtual con el fichero environment.yml con el siguiente comando:

conda env create -f environment.yml

Programa

1. Introducción al Procesamiento del Lenguaje Natural
2. Análisis morfosintáctico y reconocimiento de entidades
3. Clasificación de texto
4. Modelos de lenguaje y word embeddings

Enlaces de interés

MOOCs, Courses and Other Materials

• Some years ago, Manning & Jurafsky organized a course on NLP at Coursera. There are some slides and videos.

• Stanford NLP

• Natural Language Processing, Johns Hopkins University

• Oxford Deep NLP

Books and Further Readings

• Dan Jurafsky and James H. Martin. Speech and Language Processing

• Chris Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing

• Emily Bender. Linguistic Fundamentals for Natural Language Processing: 100 Essentials from Morphology and Syntax

• Jacob Einstein. Natural Language Processing

• Steven Bird, Ewan Klein, and Edward Loper. Natural Language Processing with Python

• Jacob Perkins. Python 3 Text Processing with NLTK 3 Cookbook

• The Stupidity of Computers

• NLP (almost) from scratch

• The Two Paths from NLP to AI

• Natural Language Processing Key Terms, Explained

• 4 Approaches to NLP

Resources

• NLP Progress

• Papers with Code: NLP

• the Beyond Word Embeddings series, especially its Part 2

• Awesome NLP

• Awesome Spanish NLP

• Awesome Data Science

• Alammar, J. The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)

• Pre-trained word vectors by fastText

• BERT: Bidirectional Encoder Representations from Transformers

• HuggingFace PyTorch transformers

• El Boukkouri, H. Arithmetic Properties of Word Embeddings

• Smith, N. 2019. "Contextual Word Representations: A contextual Introduction"

Readings on Neural Networks and Deep Learning

• Christopher Olah's blog on Neural Networks , specially the post on Deep Learning, NLP, and Representations

• Hacker's guide to Neural Networks

• The Unreasonable Effectiveness of Recurrent Neural Networks (code repo)

• CS224d: Deep Learning for Natural Language Processing

• Understanding Natural Language with Deep Neural Networks Using Torch

• Deep Learning for NLP (without magic)