Modules / Lectures
Module NameDownloadDescriptionDownload Size
Week 1Solution_Assignment_1Solution_Assignment_1101 kb
Week 2Solution_Assignment_2Solution_Assignment_265 kb
Week 3Solution_Assignment_3Solution_Assignment_389 kb
Week 4Solution_Assignment_4Solution_Assignment_4165 kb
Week 5Solution_Assignment_5Solution_Assignment_537 kb
Week 6Solution_Assignment_6Solution_Assignment_686 kb
Week 7Solution_Assignment_7Solution_Assignment_741 kb
Week 8Solution_Assignment_8Solution_Assignment_884 kb
Week 9Solution_Assignment_9Solution_Assignment_962 kb
Week 10Solution_Assignment_10Solution_Assignment_1036 kb
Week 11Solution_Assignment_11Solution_Assignment_1154 kb
Week 12Solution_Assignment_12Solution_Assignment_1234 kb


New Assignments
Module NameDownload
Week_01_Assignment_01Week_01_Assignment_01
Week_02_Assignment_02Week_02_Assignment_02
Week_03_Assignment_03Week_03_Assignment_03
Week_04_Assignment_04Week_04_Assignment_04
Week_05_Assignment_05Week_05_Assignment_05
Week_06_Assignment_06Week_06_Assignment_06
Week_07_Assignment_07Week_07_Assignment_07
Week_08_Assignment_08Week_08_Assignment_08
Week_09_Assignment_09Week_09_Assignment_09
Week_10_Assignment_10Week_10_Assignment_10
Week_11_Assignment_11Week_11_Assignment_11
Week_12_Assignment_12Week_12_Assignment_12


Sl.No Chapter Name MP4 Download Transcript Download
1Lecture 1: Introduction to the CourseDownloadDownload
Verified
2Lecture 2: What Do We Do in NLPDownloadDownload
Verified
3Lecture 3: Why is NLP hardDownloadDownload
Verified
4Lecture 4: Empirical LawsDownloadDownload
Verified
5Lecture 5: Text Processing: BasicsDownloadDownload
Verified
6Lecture 6: Spelling Correction: Edit DistanceDownloadDownload
Verified
7Lecture 7: Weighted Edit Distance, Other VariationsDownloadDownload
Verified
8Lecture 8: Noisy Channel Model for Spelling CorrectionDownloadDownload
Verified
9Lecture 9 : N-Gram Language ModelsDownloadDownload
Verified
10Lecture 10: Evaluation of Language Models, Basic SmoothingDownloadDownload
Verified
11Lecture 11: Tutorial IDownloadDownload
Verified
12Lecture 12: Language Modeling: Advanced Smoothing ModelsDownloadDownload
Verified
13Lecture 13: Computational MorphologyDownloadDownload
Verified
14Lecture 14: Finite - State Methods for MorphologyDownloadDownload
Verified
15Lecture 15: Introduction to POS TaggingDownloadDownload
Verified
16Lecture 16: Hidden Markov Models for POS TaggingDownloadDownload
Verified
17Lecture 17: Viterbi Decoding for HMM, Parameter LearningDownloadDownload
Verified
18Lecture 18: Baum Welch AlgorithmDownloadDownload
Verified
19Lecture 19: Maximum Entropy Models - IDownloadDownload
Verified
20Lecture 20: Maximum Entropy Models - IIDownloadDownload
Verified
21Lecture 21: Conditional Random FieldsDownloadDownload
Verified
22Lecture 22: Syntax - IntroductionDownloadDownload
Verified
23Lecture 23: Syntax - Parsing I DownloadDownload
Verified
24Lecture 24: Syntax - CKY, PCFGsDownloadDownload
Verified
25Lecture 25: PCFGs - Inside-Outside ProbabilitiesDownloadDownload
Verified
26Lecture 26: Inside-Outside ProbabilitiesDownloadDownload
Verified
27Lecture 27: Dependency Grammars and Parsing - IntroductionDownloadDownload
Verified
28Lecture 28 : Transition Based Parsing : FormulationDownloadDownload
Verified
29Lecture 29 : Transition Based Parsing : LearningDownloadDownload
Verified
30Lecture 30 : MST-Based Dependency ParsingDownloadDownload
Verified
31Lecture 31: MST-Based Dependency Parsing : LearningDownloadDownload
Verified
32Lecture 32: Distributional Semantics - IntroductionDownloadDownload
Verified
33Lecture 33: Distributional Models of SemanticsDownloadDownload
Verified
34Lecture 34: Distributional Semantics : Applications, Structured ModelsDownloadDownload
Verified
35Lecture 35: Word Embeddings - Part IDownloadDownload
Verified
36Lecture 36 : Word Embeddings - Part IIDownloadDownload
Verified
37Lecture 37: Lexical SemanticsDownloadDownload
Verified
38Lecture 38: Lexical Semantics - WordnetDownloadDownload
Verified
39Lecture 39 : Word Sense Disambiguation - IDownloadDownload
Verified
40Lecture 40 : Word Sense Disambiguation - IIDownloadDownload
Verified
41Lecture 41 : Novel Word Sense detectionDownloadDownload
Verified
42Lecture 42 : Topic Models : IntroductionDownloadDownload
Verified
43Lecture 43 :Latent Dirichlet Allocation : FormulationDownloadDownload
Verified
44Lecture 44 : Gibbs Sampling for LDA, Applications DownloadDownload
Verified
45Lecture 45 : LDA Variants and Applications - IDownloadDownload
Verified
46Lecture 46:LDA Variants and Applications - IIDownloadDownload
Verified
47Lecture 47 : Entity Linking - IDownloadDownload
Verified
48Lecture 48 : Entity Linking - IIDownloadDownload
Verified
49Lecture 49 : Information Extraction - Introduction DownloadDownload
Verified
50Lecture 50 : Relation ExtractionDownloadDownload
Verified
51Lecture 51 : Distant Supervision DownloadDownload
Verified
52Lecture 52 : Text Summarization - LEXRANKDownloadDownload
Verified
53Lecture 53 : Optimization based Approaches for SummarizationDownloadDownload
Verified
54Lecture 54 : Summarization EvaluationDownloadDownload
Verified
55Lecture 55 : Text Classification - IDownloadDownload
Verified
56Lecture 56 : Text Classification - IIDownloadDownload
Verified
57Lecture 57 : Tutorial IIDownloadDownload
Verified
58Lecture 58 : Tutorial IIIDownloadDownload
Verified
59Lecture 59 : Tutorial IVDownloadDownload
Verified
60Lecture 60 : Tutorial VDownloadDownload
Verified
61Lecture 61 : Sentiment Analysis - IntroductionDownloadDownload
Verified
62Lecture 62 : Sentiment Analysis - Affective LexiconsDownloadDownload
Verified
63Lecture 63 : Learning Affective LexiconsDownloadDownload
Verified
64Lecture 64 : Computing with Affective LexiconsDownloadDownload
Verified
65Lecture 65 : Aspect - Based Sentiment AnalysisDownloadDownload
Verified