printer friendly pageCS 124: From Languages to Information (LINGUIST 180, LINGUIST 280)
NLP for extracting meaning from text and social networks on the web, and interacting with people via language. Introducing methods (from regex to large language models, via logistic regression, gradient descent, transformers and other neural networks, social networks, collaborative filtering), applications (chatbots, information retrieval, social computing, recommender systems), and ethical and social issues. Prerequisites:
CS106B, Python (at the level of
CS106A),
CS109 (or equivalent background in probability), and programming maturity and knowledge of UNIX equivalent to
CS107 (or taking CS107 or CS1U concurrently).
Terms: Win
| Units: 3-4
| UG Reqs: WAY-AQR
Instructors:
Jurafsky, D. (PI)
CS 224N: Natural Language Processing with Deep Learning (LINGUIST 284, SYMSYS 195N)
Methods for processing human language information and the underlying computational properties of natural languages. Focus on deep learning approaches: understanding, implementing, training, debugging, visualizing, and extending neural network models for a variety of language understanding tasks. Exploration of natural language tasks ranging from simple word level and syntactic processing to coreference, question answering, and machine translation. Examination of representative papers and systems and completion of a final project applying a complex neural network model to a large-scale NLP problem. Prerequisites: calculus and linear algebra;
CS124,
CS221, or
CS229.
Terms: Win
| Units: 3-4
Instructors:
Hashimoto, T. (PI)
;
Yang, D. (PI)
CS 224S: Spoken Language Processing (LINGUIST 285)
Introduction to spoken language technology with an emphasis on dialogue and conversational systems. Deep learning and other methods for automatic speech recognition, speech synthesis, affect detection, dialogue management, and applications to digital assistants and spoken language understanding systems. Prerequisites:
CS124,
CS221,
CS224N, or
CS229.
Terms: Spr
| Units: 2-4
Instructors:
Maas, A. (PI)
LINGUIST 284: Natural Language Processing with Deep Learning (CS 224N, SYMSYS 195N)
Methods for processing human language information and the underlying computational properties of natural languages. Focus on deep learning approaches: understanding, implementing, training, debugging, visualizing, and extending neural network models for a variety of language understanding tasks. Exploration of natural language tasks ranging from simple word level and syntactic processing to coreference, question answering, and machine translation. Examination of representative papers and systems and completion of a final project applying a complex neural network model to a large-scale NLP problem. Prerequisites: calculus and linear algebra;
CS124,
CS221, or
CS229.
Terms: Win
| Units: 3-4
Instructors:
Hashimoto, T. (PI)
;
Yang, D. (PI)
LINGUIST 285: Spoken Language Processing (CS 224S)
Introduction to spoken language technology with an emphasis on dialogue and conversational systems. Deep learning and other methods for automatic speech recognition, speech synthesis, affect detection, dialogue management, and applications to digital assistants and spoken language understanding systems. Prerequisites:
CS124,
CS221,
CS224N, or
CS229.
Last offered: Spring 2024
SYMSYS 195N: Natural Language Processing with Deep Learning (CS 224N, LINGUIST 284)
Methods for processing human language information and the underlying computational properties of natural languages. Focus on deep learning approaches: understanding, implementing, training, debugging, visualizing, and extending neural network models for a variety of language understanding tasks. Exploration of natural language tasks ranging from simple word level and syntactic processing to coreference, question answering, and machine translation. Examination of representative papers and systems and completion of a final project applying a complex neural network model to a large-scale NLP problem. Prerequisites: calculus and linear algebra;
CS124,
CS221, or
CS229.
Terms: Win
| Units: 3-4
Instructors:
Hashimoto, T. (PI)
;
Yang, D. (PI)
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