the (purely **raw**!) record can be found on our channel: https://go.epfl.ch/inlp-videos (direct link: https://tube.switch.ch/videos/5445867a).

Here is the list of questions:

1. IR

1.1 Could you explain again how to make a tf-idf matrix?

1.2 Could you please explain the differences between R precision

and

average precision?

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2. Parsing

2.1 How can we compute the probability of a parsing tree efficiently?

In the case where the product of rules in a tree does not represent

the true probability, we need to get all possible trees of a sentence

and compute their probability as well before computing the actual

probability of a tree, but this can be time-consuming.

2.2 Given two syntatic rules S -> A B C and S -> A B, when converting

this to Chomsky normal form, can I simplify S -> A B C to S -> S C

instead of introducing a new category X and doing it as S -> X C, X ->

A B?

2.3

Exercise 12.4: why is the rule "VP -> VBe Adj+" as opposed to "VP ->

VBe Adj-"?

Could we have another example of changing the grammar to prevent

over-generalization?

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3. Morphology

3.1 Could you give more FULL examples of using transducers?

(for instance going fully through the lexical lookup, regular

inflection, and exception handling transducers in exercise 5.5b?)

3.2 Can you please explain on hand on morphology question 3

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4. Neural Nets

4.1 For the Neural Network Architectures (Old Exam Exercise 5). Do we

consider weights for a softmax output layer from the Last Hidden

Layer, or do we directly process the output?

Addionally, in regard to RNN, what would be the size of the Weight

Matricies?

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5. General

5.1 Will the exam have that much open questions like last year's?

5.2 About open questions, could you please elaborate the questions more?

Like part 1 of question II in the old exam, it has 8 points, but it's

not really clear how much we should write, and I don't know whether my

thoughts match what you expect.

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6. Lexical distance

Are there any 'tricks' when partially filling the error correction lookup table? like

lower bounds? I find that I can 'guess' what the right answer should

be but never sure, since that would require filling most of the table.

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7. Misc free questions