20. Natural Language Processing 3

Natural Language Processing classical/shallow algorithms. ## Resources
- Speech and Language Processing (http://amzn.to/2uZaNyg) `book:hard` comprehensive classical-NLP bible
- Stanford NLP YouTube (https://www.youtube.com/playlist?list=PL6397E4B26D00A269) `course|audio:medium`
- NLTK Book (http://www.nltk.org/book) `book:medium`
- Convert video to audio:
** mp4 => mp3: `for f in *.mp4; do ffmpeg -i "$f" "${f%.mp4}.mp3" && rm "$f"; done`
** youtube => mp3: setup youtube-dl (https://github.com/rg3/youtube-dl) and run `youtube-dl -x youtube.com/playlist?list=` ## Episode
- Parsing
** Constituents
** Grammar: Context Free Grammars (CFGs), Probabalistic CFGs (PCFGs), Cocke–Younger–Kasami (CYK)
** Dependency Tree: Greedy transition-based parsing (stack/buffer)
** SyntaxNet (English = Parsey McParseface)
- Relationship Extraction
- Question Answering / Textual Entailment (TF-IDF+Cosine Similarity; Parsing; NER)
- Automatic summarization (TF-IDF; TextRank)
- Machine Translation (details here (https://www.youtube.com/watch?v=QuELiw8tbx8&list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6&index=9))

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