NLP Demystified 4: Advanced Preprocessing (part-of-speech tagging, entity tagging, parsing)

We'll look at tagging our tokens with useful information including part-of-speech tags and named entity tags. We'll also explore different types of sentence parsing to help extract the meaning of a sentence. In the demo, we'll explore how to get these things done with spaCy and how to use the library's "matchers" and other features to build simple rules-based tools.

Timestamps:
00:00:00 Advanced Preprocessing
00:00:18 Part-of-Speech (PoS) Tagging
00:01:06 Uses of PoS tags
00:02:24 Named Entity Recognition (NER)
00:03:17 Uses of NER tags
00:04:08 The challenges of NER
00:04:57 PoS- and NER-tagging as sequence labelling tasks
00:07:30 Constituency parsing
00:10:24 Dependency parsing
00:12:22 Uses of parsing
00:13:46 Which parsing approach to use
00:14:14 DEMO: advanced preprocessing with spaCy
00:21:11 Preprocessing recap

This video is part of Natural Language Processing Demystified --a free, accessible course on NLP.

[futuremojo]

Timestamps:
00:00:00 Advanced Preprocessing
00:00:18 Part-of-Speech (PoS) Tagging
00:01:06 Uses of PoS tags
00:02:24 Named Entity Recognition (NER)
00:03:17 Uses of NER tags
00:04:08 The challenges of NER
00:04:57 PoS- and NER-tagging as sequence labelling tasks
00:07:30 Constituency parsing
00:10:24 Dependency parsing
00:12:22 Uses of parsing
00:13:46 Which parsing approach to use
00:14:14 DEMO: advanced preprocessing with spaCy
00:21:11 Preprocessing recap

[davypeterbraun]

Your series is a life-saver. You an EXCELLENT teacher, and your voice is radio-like. Thanks so much!

[radhikawadhawan]

Watched lots of content on youtube for NLP. But this series is the BEST. Concise and to -the- point!

[Momiji]

This series is incredible! I can't believe we get to access such content for free online... what an era

[Engineering__]

This series is excellent! I'm glad I came across this series while searching for TF-IDF & cosine similarity related materials.

[joelyk]

the best NLP course in youtube at least to me!! Thanks so much.

[caiyu]

With your Great NLP lectures, understand a lot of NLP concepts

[toyomicho]

Great video (and great course). Thank you, thank you, thank you.
Nitpick at 4:25
Hamilton was never a president. He was "the ten-dollar founding father without a father", but was never a president
LOL

[xray]

Amazing video. Thank you so much for these videos. I hope you will make more videos on other concepts in deep learning. By the way I do think you teaching this has made your speech on point as a by product. I too had doubts like others that your voice might have been generated but I picked up some words you say, that sounded Canadian, am I right hahah. Thank you and look forward to more videos!

[Ahbab]

Hello Sir!

Your course is great!

Please suggest us a course on Generative AI to easily learn the concepts like we are learning in this course!

Very grateful Sir!

Thank you!

[shivaram]

Which software u used to generate that voice?

[malikrumi]

Why is there no 'end of entity' tag? I'm sure some might say it's redundant and unnecessary because when you come to the 'o' you are *obviously* at the end of the entity. But it is just as possible that the 'o' is a mistake, especially in a long multi word name. An end tag would be both more explicit and eliminate any ambiguity. But maybe that's just me....

[FrankCai-er]

After transformer is used, are these preprocessing steps still very useful?

[dmytrokulaiev]

Machine learning is a niche topic, sure, but how does this have so few views?