Deep learning for natural language processing: Lab ExercisesSubmission: Lab exercises must be submitted on the following ecampus page: You must submit only two files: your report as a PDF file and your code as a ipynb file. Please, only submit one time per group, and put all group members name at the beginning of each document. Deadlines (2022):
Deadlines are hard, the submission website automatically close after them, so I strongly advise to not submit during the last minutes in order to avoid problems. Groups: There should be 2-4 students per group (please ask early for single student group, otherwise there will be a penalty). I expect stronger work for group of 4 students. You cannot change groups between lab exercises. Lab exercise 1: Sentence classification
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Lab exercise 2: Language modeling
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Lab exercise 3: Part-of-speech tagging
# To read the embeddings: with io.open("./data_pos/fasttext_fr", "r", encoding='utf-8') as istream: for line in istream: line = line.split(' ') word = line[0] embeddings = [float(f) for f in line[1:]] assert len(embeddings) == 300 # TODO Extra work:
Guidelines:
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