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Advanced NLP - Experimental Design and Data Annotation - Lecture 9

Offered By: Graham Neubig via YouTube

Tags

Data Science Courses Machine Learning Courses Linguistics Courses Hypothesis Testing Courses Statistical Analysis Courses Research Methodology Courses Experimental Design Courses Computational Linguistics Courses

Course Description

Overview

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Explore experimental design and data annotation techniques in this lecture from CMU's Advanced Natural Language Processing course. Delve into crucial aspects of NLP research methodology, including how to design effective experiments and properly annotate data for machine learning tasks. Learn best practices for creating robust datasets, avoiding common pitfalls in experimental setups, and ensuring the quality and reliability of annotated data. Gain insights into the importance of these foundational skills for conducting rigorous NLP research and developing high-performance language models.

Syllabus

CMU Advanced NLP Fall 2024 (9): Experimental Design and Data Annotation


Taught by

Graham Neubig

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