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We need this in order to see if there is a link between part of speech used in text and the gender of the people reading that text.
### TODO
- store in a different table whole texts from websites
- us…
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### Overview
We are doing this to compare SciBERT's performance on NER, relative to text classification. SciBERT didn't provide a chemprot dataset for NER, so we are using the chemprot dataset straig…
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- [ ] As a researcher I need to decide which features and regressors need to be ported
* includes feature pipeline
* includes classification
This means checking if features can be properly extrac…
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Rewrite UI and correct annotation extension.
Rewrite backend. Original annotation was written for SRU/SWORD. Users don't use this tech anymore and require restful APIs or GraphQL.
Allow businesses…
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Post questions here for this week's exemplary readings:
3. Saha, Koustuv, Eshwar Chandrasekharan, Munmun De Choudhury. 2019. [“Prevalence and Psychological Effects of Hateful Speech in Online Colle…
lkcao updated
6 months ago
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Look into using NLP to extract data from text.
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Textzusammenfassung von Daten, die wir noch finden müssen
(Ideen von kaggle: Filmhandlungen auf Wikipedia, aber da müssen wir noch gucken, wie das mit den Labels aussieht, BBC)
Gruppe: Zabiullah …
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Hey I'm curious on why you don't have Librispeech960 Pre-trained on Frame base. I saw you were recommending Frame based models. Do you have Pre-trained Librispeech on Frame?
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First step is research. We are looking for a way to label racist hateful speech in a tweet dataset.
For each method, the implementation's accuracy should be evaluated in some way. The doc should sugg…
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## Discussion
The [inventory of terms](http://www.popoloproject.com/appendices/terms.html#Speech) found terms for:
- section/group: it's possible that sections (groups of speeches) can be organized a…