another #chatGPT phenomenon. It can't quite bring itself to speak 100% nonsense. I could get it to make up words, but it will always fall back on real connective words. Like it longs for grammar anchors.
Andrew Piper
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#chatgpt question: I thought it was a stochastic parrot. I got the exact same response to the same prompt. How is that possible?
So @dbamman do you think we are soon going to be post bookNLP? See attached. Experiment from this new paper: https://ceur-ws.org/Vol-3290/long_paper1576.pdf
Don MoynihanAs a reminder, attack on speech in higher Ed goes on. New bill will make it illegal to have a DEI office or even host an event about diversity, equity and inclusion in Texas universities
https://capitol.texas.gov/tlodocs/88R/billtext/pdf/HB01006I.pdf#navpanes=0
DHd AG Multilingual DHThe establishing of a #MultilingualDH working group at #DARIAH is great news! Thanks to @alizhorvathaliz and Maroussia Bednarkiewicz, we will have the opportunity to strengthen the presence of #MultilingualDH in Europe and thus improve the awareness for issues with multilinguality and multiscriptuality in #DigitalHumanities. But this should be only a beginning, as @quinnanya sais: Next stop ADHO.
Asad SayeedWhat will happen is that we will be increasingly focused on application and domain-specific resources and tools to evaluate, control, specialize, and manage these tools. The era of "general" tasks is probably over in #nlp. LREC-type stuff is where it's at (been that way for a long time, it just wasn't cool with a field that is IMO too rooted in computer science education) #emnlp2022
Leonie TanczerOpportunities in our "Gender & Tech" Group:
1️⃣ Research Fellow in #TechAbuse via #UKRIFLF
2️⃣ Research Fellow in #NLP via @VISION_UKPRP
3️⃣ PhD in a range of topics via CDT in #Cybersecurity
4️⃣ PhD on #IoT-Abuse via #QUB
👉Info: https://linkmix.co/13163250
Open Art Data#ChatGpt shows promise in distinguishing statements of #fact from statements of #speculation -- a key "skill" when trying to understand what lengthly #provenance texts and notes for #artworks are really saying.
#Question for #histodons and #NLP #Textanalysis #AI people : Who is working in the area of distinguishing "fact" from "speculation" by elements in the language?
What papers should I read?
Thank you!
Koustuv SinhaMe and my team are hiring Research Scientist Interns to work with us at #MetaAI (FAIR), on compositional #generalization, long-form #reasoning, #interpretability in #NLP. Consider applying here: https://metacareers.com/jobs/687658102745368/ and DM me if interested! cc @Adinawilliams
JCLSAnother new article in JCLS: "#Evaluation of Measures of Distinctiveness. #Classification of Literary Texts on the Basis of Distinctive Words" by @cnDuKeli, Julia Dudar and @christof #keyness #CLS https://doi.org/10.48694/jcls.102
Evaluation of Measures of Distinctiveness. Classification of Literary Texts on the Basis of Distinctive Words
<p>This paper concerns an empirical evaluation of nine different measures of distinctiveness or ‘keyness’ in the context of Computational Literary Studies. We use nine different sets of literary texts (specifically, novels) written in seven different languages as a basis for this evaluation. The evaluation is performed as a downstream classification task, where segments of the novels need to be classified by subgenre or period of first publication. The classifier receives different numbers of features identified using different measures of distinctiveness. The main contribution of our paper is that we can show that across a wide variety of parameters, but especially when only a small number of features is used, (more recent) dispersion-based measures very often outperform other (more established) frequency-based measures by significant margins. Our findings support an emerging trend to consider dispersion as an important property of words in addition to frequency.</p>