Aula #1 - Introduction - Natural Language Processing | University of Michigan
Aula #2 - Examples of Text - Natural Language Processing | University of Michigan
Aula #3 - Funny Sentences - Natural Language Processing | University of Michigan
Aula #4 - Administrative - Natural Language Processing | University of Michigan
Aula #5 - Why is NLP hard - Natural Language Processing | University of Michigan
Aula #6 - Background - Natural Language Processing | University of Michigan
Aula #7 - Linguistics - Natural Language Processing | University of Michigan
Aula #8 - Text Similarity (Introduction) - Natural Language Processing | Michigan
Aula #9 - Parts of Speech - Natural Language Processing | University of Michigan
Aula #10 - Morphology and the Lexicon - Natural Language Processing | Michigan
Aula #11 - Morphological Similarity (Stemming) - Natural Language Processing
Aula #12 - Spelling Similarity (Edit Distance) - Natural Language Processing
Aula #13 - NACLO - Natural Language Processing
Aula #14 - Preprocessing - Natural Language Processing
Aula #15 - Semantic Similarity- Synonymy and other Semantic Relations - Natural Language Processing
Aula #16 - Thesaurus-based Word Similarity Methods - Natural Language Processing
Aula #17 - The Vector Space Model - Natural Language Processing | Michigan
Aula #18 - Dimensionality Reduction - Natural Language Processing | Michigan
Aula #19 - NLP Tasks 1-3 - Natural Language Processing | University of Michigan
Aula #20 - NLP Tasks 2-3 - Natural Language Processing | University of Michigan
Aula #21 - NLP Tasks 3-3 - Natural Language Processing | University of Michigan
Aula #22 - Syntax - Natural Language Processing | University of Michigan
Aula #23 - Parsing - Natural Language Processing | University of Michigan
Aula #24 - Classic Parsing Methods - Natural Language Processing | Michigan
Aula #25 - Earley Parser - Natural Language Processing | University of Michigan
Aula #26 - The Penn Treebank - Natural Language Processing | University of Michigan
Aula #27 - Parsing Introduction and recap Parsing noun sequences - NLP
Aula #28 - Prepositional phrase attachment (1/3) -Natural Language Processing | Michigan
Aula #29 - Prepositional phrase attachment (2/3) - Natural Language Processing | Michigan
Aula #30 - Prepositional phrase attachment (3/3) | Natural Language Processing | Michigan
Aula #31 - Statistical Parsing - Natural Language Processing | University of Michigan
Aula #32 - Lexicalized Parsing - Natural Language Processing | University of Michigan
Aula #33 - Dependency Parsing - Natural Language Processing | University of Michigan
Aula #34 - Alternative Parsing Formalisms - Natural Language Processing | Michigan
Aula #35 - Probabilities - Natural Language Processing | University of Michigan
Aula #36 - Bayes Theorem - Natural Language Processing | University of Michigan
Aula #37 - Language Modeling (1/3) - Natural Language Processing | Michigan
Aula #38 - Language Modeling (1/3 cont 'd ) - Natural Language Processing | Michigan
Aula #39 - Language Modeling (2/3) - Natural Language Processing | Michigan
Aula #40 - Language Modeling (3/3)- Natural Language Processing | Michigan
Aula #41 - Word Sense Disambiguation - Natural Language Processing | Michigan
Aula #42 - Noisy Channel Model - Natural Language Processing | University of Michigan
Aula #43 - Part of Speech Tagging - Natural Language Processing | Michigan
Aula #44 - Hidden Markov Models (1/2) - Natural Language Processing | Michigan
Aula #45 - Hidden Markov Models (2/2) - Natural Language Processing | Michigan
Aula #46 - Statistical POS Tagging - Natural Language Processing | Michigan
Aula #47 - Information Extraction - Natural Language Processing | Michigan
Aula #48 - Relation Extraction - Natural Language Processing | University of Michigan
Aula #49 - Question Answering - Natural Language Processing | University of Michigan
Aula #50 - Evaluation of QA , System Architecture | NLP| University of Michigan
Aula #51 - System Architecture (QA) | NLP | University of Michigan
Aula #52 - Question Answering Systems (1/2) | NLP | University of Michigan
Aula #53 - Question Answering Systems (2/2) | NLP | University of Michigan
Aula #54 - Summarization | Natural Language Processing | Michigan
Aula #55 - Summarization Techniques (1/3) | NLP | University of Michigan
Aula #56 - Summarization Techniques (2/3) | NLP | University of Michigan
Aula #57 - Summarization Techniques (3/3) | NLP | University of Michigan
Aula #58 - Summarization Evaluation | NLP | University of Michigan
Aula #59 - Sentence Simplification | NLP | University of Michigan
Aula #60 - Collocations | Natural Language Processing | University of Michigan
Aula #61 - Information Retrieval | NLP | University of Michigan
Aula #62 - Evaluation of IR | NLP | University of Michigan
Aula #63 - Text Classification | NLP | University of Michigan
Aula #64 - Text Clustering | NLP | University of Michigan
Aula #65 - Information Retrieval Toolkits | NLP | University of Michigan
Aula #66 - Sentiment Analysis | NLP | University of Michigan
Aula #67 - Sentiment Lexicons | NLP | University of Michigan
Aula #68 - Semantics | Natural Language Processing | University of Michigan
Aula #69 - Representing and Understanding Meaning | NLP | Michigan
Aula #70 - First Order Logic | Natural Language Processing | University of Michigan
Aula #71 - Knowledge Representation | NLP | University of Michigan
Aula #72 - Inference | Natural Language Processing | University of Michigan
Aula #73 - Semantic Parsing | NLP | University of Michigan
Aula #74 - Discourse Analysis | NLP | University of Michigan
Aula #75 - Coherence | Natural Language Processing | University of Michigan
Aula #76 - Dialogue Systems | NLP | University of Michigan
Aula #77 - Machine Translation | NLP | University of Michigan
Aula #78 - Machine Translation Basic Techniques | NLP | University of Michigan
Aula #79 - Machine Translation Noisy Channel Methods | NLP | Michigan
Aula #80 - Machine Translation Advanced Methods | NLP | University of Michigan
Aula #81 - Text Generation | NLP | University of Michigan