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Natural Language Processing

Fall 2024

Announcement

Aug 28 ·
  • Lectures: Tues/Thurs 12:30–2pm
  • GSI Office Hours: 1–2pm Monday and 4–5pm Thursday, on Zoom (see Edstem for link)
  • Professor Office Hours: 2–2:30pm after lecture
  • Edstem link (only accessible to Berkeley accounts): https://edstem.org/us/join/RZpSp9 – contains links to bCourses, Gradescope, Kaggle, etc.
  • This schedule is tentative, as are all assignment release dates and deadlines.

Schedule

August 29
Introduction
Project 1 released by EOD Friday, August 30
Sept 3
Language modeling Statistical models | J&M 3
Sept 5
Language modeling Representation learning and early neural models | E 3.0-3.3; G 1-5
Sept 10
Language modeling Neural models | J&M 7; Goldberg 10-11
Sept 12
Language modeling Recurrence
Project 1 due EOD Monday, September 16
Sept 17
Language modeling Machine translation: neural approaches | J&M 13
Sept 19
Language modeling Machine translation: neural approaches pt.2
Sept 24
Language modeling Transformers
Sept 26
Core NLP tasks, data, and evaluation
Oct 1
Panel: philosophy of evaluation and data
Oct 3
Structured prediction Syntactic parsing | J&M 18
Oct 8
Structured prediction Syntactic parsing
Oct 10
Structured prediction Compositional semantics
Oct 15
Structured prediction Language to other structured representations
Oct 17
LLMs LM recap, LLM architectures, inference, training objectives
Oct 22
LLMs Training, data, evaluation
Oct 24
LLMs Adaptation: RLHF, instruction-tuning, etc.
Oct 29
LLMs RLHF, scaling and efficiency, impacts
Oct 31
Panel: considerations in building/deploying LLMs (risks, harms, misuse)
Nov 5
Beyond text Speech | J&M 16
Nov 7
Beyond text Speech
Nov 12
Beyond text Pragmatics
Nov 14
Beyond text Vision and language
Nov 19
Beyond text Embodied interactive agents
Nov 21
Panel: NLP beyond text (speech vision, embodiment)
Nov 26
Panel: NLP beyond English
Nov 28
HOLIDAY
Dec 3
Panel: limitations
Dec 5
Panel: future of NLP