#WordEmbeddings
It's already the last talk of #CCLS2025 😱

Yuri Bizzoni, @pascaleispunk.bsky.social, Kristoffer L. Nielbo: Encoding Imagism? Measuring Literary Imageability, Visuality and Concreteness via Multimodal Word Embeddings (doi.org/10.26083/tup...)
#Measuring #LiteraryImageability #WordEmbeddings
July 4, 2025 at 10:19 AM
A story-driven intro to word embeddings and Transformers, how language becomes vectors, relationships emerge, and meaning turns into math.
#wordembeddings
They Got Lost in the Transformer, Episode 1: What Even Is an Embedding?
hackernoon.com
April 23, 2026 at 1:54 PM
This is the first part of my article series about Generative Artificial Intelligence. This part covers the theory behind this family of AI tools. #generativeai #bert #gpt #wordembeddings #naturallanguageprocessing

backtosoftwaredevelopment.substack.com/p/generative...
Generative AI - Part 1 - Theory
Investigation
backtosoftwaredevelopment.substack.com
November 19, 2024 at 8:13 PM
I've just discovered the computational linguist version of Wordle ! #semantics #cognitivescience #wordembeddings
Semantle #1348
✅ 93 Guesses
🔝 Guess #85
🥈 920/1000
💡 0 Hints
semantle.com
Semantle | Daily Word Guessing Game
Semantle is an engaging word-guessing game that challenges you to find the hidden word through semantic clues. Sharpen your linguistic skills!
semantle.com
October 8, 2025 at 6:47 PM
🧠📊 How can we measure imageability in literary texts?
The authors approach how words evoke sensory experience and test whether multimodal #WordEmbeddings can better capture #imageability, #visuality, and #concreteness than text-only models, from words to sentences to poems.
#CCLS2025 #JCLS #CLS
January 13, 2026 at 12:33 AM
A study built 100 yearly Japanese word‑embedding models spanning 1900‑1999, showing a steady rise in female associations across work, politics and home. Read more: https://getnews.me/mapping-japans-gender-stereotype-shift-via-word-embeddings/ #japan #genderbias #wordembeddings
October 7, 2025 at 8:38 PM
Word embeddings vs traditional methods: hyperparameters matter more than algorithm choice
https://www.ruder.io/secret-word2vec/
#wordembeddings #nlp #machinelearning #algorithms #research
February 17, 2025 at 11:57 AM
Die Dimensionen in Wordembeddings könnten ja als Unterscheidungen im Luhmannschen Sinne interpretiert werden oder? Also man erlaube einem Text x viele Unterscheidungen aufzumachen... die häufig angestellte Projektion auf eine Achse wäre dann ja quasi das einnehmen eines Subsystems?Wo ist der Fehler
November 25, 2025 at 12:41 PM