34:09Lecture 10: Evaluation of Language Models, Basic Smoothing
A 34-minute video from Natural Language Processing: “Lecture 10: Evaluation of Language Models, Basic Smoothing”.
Natural Language Processing
2.98K subscribers on YouTube
Shorts, livestreams, trailers and promos are never listed. Unless a curator approved this channel in full, only individually picked videos appear.
34:09
41:43Lecture 12: Language Modeling: Advanced Smoothing Models
A 42-minute video from Natural Language Processing: “Lecture 12: Language Modeling: Advanced Smoothing Models”.
32:21Lecture 13: Computational Morphology
A 32-minute video from Natural Language Processing: “Lecture 13: Computational Morphology”.
25:41Lecture 14: Finite - State Methods for Morphology
A 26-minute video from Natural Language Processing: “Lecture 14: Finite - State Methods for Morphology”.
29:15Lecture 15: Introduction to POS Tagging
A 29-minute video from Natural Language Processing: “Lecture 15: Introduction to POS Tagging”.
28:21Lecture 16: Hidden Markov Models for POS Tagging
A 28-minute video from Natural Language Processing: “Lecture 16: Hidden Markov Models for POS Tagging”.
32:33Lecture 17: Viterbi Decoding for HMM, Parameter Learning
A 33-minute video from Natural Language Processing: “Lecture 17: Viterbi Decoding for HMM, Parameter Learning”.
32:09Lecture 18: Baum Welch Algorithm
A 32-minute video from Natural Language Processing: “Lecture 18: Baum Welch Algorithm”.
37:57Lecture 19: Maximum Entropy Models - I
A 38-minute video from Natural Language Processing: “Lecture 19: Maximum Entropy Models - I”.
12:52Lecture 1: Introduction to the Course
A 13-minute video from Natural Language Processing: “Lecture 1: Introduction to the Course”.
33:36Lecture 20: Maximum Entropy Models - II
A 34-minute video from Natural Language Processing: “Lecture 20: Maximum Entropy Models - II”.
27:03Lecture 21: Conditional Random Fields
A 27-minute video from Natural Language Processing: “Lecture 21: Conditional Random Fields”.
26:27Lecture 22: Syntax - Introduction
A 26-minute video from Natural Language Processing: “Lecture 22: Syntax - Introduction”.
29:04Lecture 23: Syntax - Parsing I
A 29-minute video from Natural Language Processing: “Lecture 23: Syntax - Parsing I”.
25:42Lecture 24: Syntax - CKY, PCFGs
A 26-minute video from Natural Language Processing: “Lecture 24: Syntax - CKY, PCFGs”.
34:13Lecture 25: PCFGs - Inside-Outside Probabilities
A 34-minute video from Natural Language Processing: “Lecture 25: PCFGs - Inside-Outside Probabilities”.
24:59Lecture 26: Inside-Outside Probabilities
A 25-minute video from Natural Language Processing: “Lecture 26: Inside-Outside Probabilities”.
25:15Lecture 27: Dependency Grammars and Parsing - Introduction
A 25-minute video from Natural Language Processing: “Lecture 27: Dependency Grammars and Parsing - Introduction”.
29:46Lecture 28 : Transition Based Parsing : Formulation
A 30-minute video from Natural Language Processing: “Lecture 28 : Transition Based Parsing : Formulation”.
36:38Lecture 29 : Transition Based Parsing : Learning
A 37-minute video from Natural Language Processing: “Lecture 29 : Transition Based Parsing : Learning”.
15:26Lecture 2: What Do We Do in NLP
A 15-minute video from Natural Language Processing: “Lecture 2: What Do We Do in NLP”.
33:11Lecture 30 : MST-Based Dependency Parsing
A 33-minute video from Natural Language Processing: “Lecture 30 : MST-Based Dependency Parsing”.
26:28Lecture 31: MST-Based Dependency Parsing : Learning
A 26-minute video from Natural Language Processing: “Lecture 31: MST-Based Dependency Parsing : Learning”.
26:16Lecture 32: Distributional Semantics - Introduction
A 26-minute video from Natural Language Processing: “Lecture 32: Distributional Semantics - Introduction”.
34:47Lecture 33: Distributional Models of Semantics
A 35-minute video from Natural Language Processing: “Lecture 33: Distributional Models of Semantics”.
37:59Lecture 34: Distributional Semantics : Applications, Structured Models
A 38-minute video from Natural Language Processing: “Lecture 34: Distributional Semantics : Applications, Structured Models”.
22:07Lecture 35: Word Embeddings - Part I
A 22-minute video from Natural Language Processing: “Lecture 35: Word Embeddings - Part I”.
31:58Lecture 36 : Word Embeddings - Part II
A 32-minute video from Natural Language Processing: “Lecture 36 : Word Embeddings - Part II”.
30:01Lecture 37: Lexical Semantics
A 30-minute video from Natural Language Processing: “Lecture 37: Lexical Semantics”.
42:38Lecture 38: Lexical Semantics - Wordnet
A 43-minute video from Natural Language Processing: “Lecture 38: Lexical Semantics - Wordnet”.
33:21Lecture 39 : Word Sense Disambiguation - I
A 33-minute video from Natural Language Processing: “Lecture 39 : Word Sense Disambiguation - I”.
31:32Lecture 3: Why is NLP hard
A 32-minute video from Natural Language Processing: “Lecture 3: Why is NLP hard”.
30:07Lecture 40 : Word Sense Disambiguation - II
A 30-minute video from Natural Language Processing: “Lecture 40 : Word Sense Disambiguation - II”.
14:36Lecture 41 : Novel Word Sense detection
A 15-minute video from Natural Language Processing: “Lecture 41 : Novel Word Sense detection”.
23:12Lecture 42 : Topic Models : Introduction
A 23-minute video from Natural Language Processing: “Lecture 42 : Topic Models : Introduction”.
37:20Lecture 43 :Latent Dirichlet Allocation : Formulation
A 37-minute video from Natural Language Processing: “Lecture 43 :Latent Dirichlet Allocation : Formulation”.