In the last couple of weeks, you have learned about language modeling using recurrent neural networks (RNNs), and distributional semantics (word2vec, GloVe, etc.). This assignment focuses on these 2 topics, and demonstrates some of the ideas you came across in the lectures. All the questions and related instructions can be found on this Google Colab Link
.Instructions for submission can be found in the notebook. You will turn in the completed notebook on Gradescope along with necessary model checkpoint files. Remember to:
1. Paste the viewable link in the box provided in the notebook.
2. Upload the full complete notebook along with necessary checkpoint files.
3. Select pages for the respective questions on Gradescope under the writing part.
For this assignment, you are required to work independently, i.e., you may not collaborate with other students. You are allowed to discuss general concepts and ideas related to the assignment, but you must not discuss actual solutions.
Enroll yourself in the Gradescope class (entry code provided on the website) and submit the PDF before 11.59 PM (EDT) on October 22, 2022 (Saturday). Late policy please refer to the website. If you face any technical/other difficulties, please contact the TA/CAs on Piazza.
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