"After I listened to the files this morning I felt refreshed and energized and ran straight to our chat."

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Desinformation und Einflusskampagnen: Welche Gegenmaßnahmen zeigen Wirkung? - Prof. Vera Schmidt koordiniert an der #UniMainz das neue #HorizonEurope Projekt FIMI-RESIST 👉 presse.uni-mainz.de/desinformatio…

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This IS How #AI Works IRL: jcafesin.com/2026/09/30/h...

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New VIDA dataset and LLM-as-judge metrics aim to fix gaps in multimodal machine translation benchmarks for visually-dependent ambiguity. Useful resource for open-ended ambiguity evaluation.

#MMT #OpenSourceAI #NLP
https://arxiv.org/abs/2605.02035

One word, several meanings. At EURALEX 2026, Ondra showed how Sketch Engine groups collocations by word sense. Now available in 25 languages!
www.sketchengine.eu/guide/word-s...
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1. Cross-Lingual #SRL (focus on Experiencer role)
2. Hybrid Morphology-Aware #Tokenization Framework for a low resource language
3. #EventExtraction from Unstructured text in a low resource language

#ACM #TALLIP #NLP #AI

A new shared task on Arabic dialect sentiment analysis and swapping has been proposed for ArabicNLP 2026, featuring two subtasks: multi-dialect sentiment classification and generative sentiment polarity inversion. The initiative…

#ArabicNLP #SentimentAnalysis #NLP
https://arxiv.org/abs/2610.06298

A new arXiv paper proposes using a VAE with cosine-similarity reconstruction to infer causal factors from aviation incident narratives, linking unstructured reports to expert-reported probable causes. Approach could support safety…

#AI #NLP #VAE #AviationSafety
https://arxiv.org/abs/2610.04472

When a model predicts who speaks next, is there only one right answer?

Kubo et al. argue turn-taking is inherently ambiguous and propose scoring models' predictions as distributions, not yes/no labels.
Check the paper here:
aclanthology.org/2026.sigdial...

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Paper: doi.org/10.1016/j.ss...
Code: github.com/naomibaes/AD...

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HakemBench is a new open Turkish benchmark for typed decisions, with 2,346 items and over 4,275 questions across seven tracks including fact-check triage, moderation, and customer support. It scores decision quality,…

#HakemBench #NLP #AIbenchmarks #LLMeval
https://arxiv.org/abs/2610.02293

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Isolating facts prevents text within chunks from referencing external, missing context. Resolving these dependencies at the ingestion layer ensures vector matching captures precise semantic intent, drastically improving retrieval quality. #NLP

From data highways to oral history: ÚFAL researchers presented at the CLARIN Conference in Barcelona.

Ondřej Košarko & Pavel Straňák compared EOSC-CZ & CLARIN infrastructure architectures, while Christopher Brückner showcased MalachNER, turning oral history into searchable data.

#NLP #CLARIN2026

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