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Slides for all lectures at the #Siks #IR course:

Here, you also find the information for the group experiment of this afternoon.

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An AI Wizard of Words
by @wftl
A look at using OpenAI's Generative Pretrained Transformer 2 (GPT-2) to generate text.
#python #AI #HowTo

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:mastodon: :utwente: now has an option for a single column interface! Go to "Preferences" -> "Appearance" and untick "Enable advanced web interface".

This will be the default interface for new users.

**Fair is Better than Sensational:
Man is to Doctor as Woman is to Doctor**

A recent paper by some researchers at University of Groningen that shows some analogies like "a man is to computer programmer as woman is to homemaker" are not the most accurate way to show the bias that exists in the data.

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[ICYMI on twitter] The Deep Learning track at #TREC2019 will feature two tasks—a DOCUMENT RANKING task and a PASSAGE RANKING task—both with large training datasets.

Approximate dataset stats: 367K training queries + 3.2M documents for the document ranking task; and 500K training queries + 8.8M passages for the passage ranking task.

Official guidelines:
Coordinators: Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos.

Please share. #TRECDL2019

I used "trendyy", an interesting R package for querying Google Trends, to obtain and visualize the search popularity of Dutch universities over the past few years.
The results were not exactly what I expected to be!🤔

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This flawed decision has to be overturned.

Science is not politics.

IEEE, a major science publisher, bans Huawei scientists from reviewing papers | Science | AAAS

Scientists worldwide should work together.

About the politics:
Note that we HAVE serious doubts about so many things in CS. CISCO and Intel "bugs" could be by design, or be widely known in Secret Services, who perhaps co-fund Google, etc etc. NIST and NSA story on encryption. Research co-funded by DARPA.

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Double standards:

Huawei - flaws indicate spying.
Intel - flaws indicate, well, flaws.

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"The fundamental question that we are addressing here is
if there are fewer Wikipedia entries about female scientists
because few women enter the sciences, or because they
are less likely to contribute groundbreaking research, or do
they face additional hurdles in attaining public recognition for
their work for the same level of achievement?"

- "Female scholars need to achieve more for equal
public recognition"

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