Source: https://www.linkedin.com/feed/update/urn%3Ali%3Ashare%3A6896482210426236928
2022 Latest Book #NLP: #NaturalLanguageProcessing: #Download: #Speech and #Language #Processing (3rd ed. draft): Dan Jurafsky, Stanford University and James Martin, University of Colorado Boulder
https://lnkd.in/emXk7MnT : PPTX & PDF Slides:
1: Introduction
2: #RegularExpressions, #Text #Normalization, #Edit #Distance
https://lnkd.in/eMxAFKcN
3: #Ngram #Language #Models
https://lnkd.in/exRk9kDf
4: #Naive #Bayes & #Sentiment #Classification
https://lnkd.in/eD-_cqRX
5: #Logistic #Regression
https://lnkd.in/em-cEh43
6: #Vector #Semantics & #Embeddings
https://lnkd.in/ea3Ynkt2
7: #NeuralNetworks & #Neural #Language #Models
https://lnkd.in/eCU_dCHP
8: #Sequence #Labeling for #Parts of #Speech & #Named #Entities
https://lnkd.in/eBMWzzSR
9: #DeepLearning #Architectures for #Sequence #Processing
https://lnkd.in/e3kj-kkZ
10: #Machine #Translation
https://lnkd.in/eEGNTYmP
11: #Transfer #Learning with #Contextual #Embeddings & Pre-trained #language #models
https://lnkd.in/e9645nSm
12: #Constituency #Grammars
https://lnkd.in/eFxcVYcw
13: #Constituency #Parsing
https://lnkd.in/eeGQ_ryZ
14: #Dependency #Parsing
https://lnkd.in/eyKWBMp4
15: #Logical #Representations of #Sentence #Meaning
https://lnkd.in/eFSHQhMf
16: #Computational #Semantics & #Semantic #Parsing
17: #Information #Extraction
https://lnkd.in/eZAaNE7N
18: #Word #Senses and #WordNet
https://lnkd.in/eYD6M-54
19: #Semantic #Role #Labeling and #Argument #Structure
https://lnkd.in/emVEJ5Yi
20: #Lexicons for #Sentiment, #Affect, and #Connotation
https://lnkd.in/eEQR74Fg
21: #Coreference #Resolution
https://lnkd.in/e9_q5zyv
22: #Discourse #Coherence
https://lnkd.in/egEXHHX7
23: #Question #Answering
https://lnkd.in/eVAgxfSz
24: #Chatbots and #Dialogue #Systems
https://lnkd.in/ekERaaPQ
25: #Phonetics
https://lnkd.in/eyHq-5pS
26: #Automatic #Speech #Recognition and #Text-to-#Speech
https://lnkd.in/euyt_tzU
#Appendix #Chapters
A: #Hidden #Markov #Models
https://lnkd.in/ePE6a4ti
B: #Spelling #Correction and the #Noisy #Channel
https://lnkd.in/eft__d6U
C: #Statistical #Constituency #Parsing
https://lnkd.in/e9gz7QAk
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