NLP Tuesday Check-In: Tuesday, February 11, 2020

Name: __________________________________________________

Checking In

How well are you attending to your own wellness this week?

      Not at all ☐— — — — — — — — — —☐ Very well

How much time did you spend on CS159 outside of class this week? ____________________________________


Shared Reading

The following key terms were important to this week’s reading:

vector semantics                   tf-idf algorithm
embeddings                         term frequency
term-document matrix               document frequency
vector space model                 idf
row vector                         co-occurrence
word-word matrix                   debiasing
cosine similarity
  1. What is an advantage of cosine similarity over other vector similarity measures?




  1. What is the intuition behind tf-idf as a measure of word association?




  1. Why are vector space models susceptible to bias?

















Optional Reading

Which reading topic did you choose?




Put notes here on your group’s discussion























Reflection

How prepared were you for today’s class?

      Not at all ☐— — — — — — — — — —☐ Very well

What would you like me to know about how your groups’ discussions went?