Maybe at the Nobel lecture we'll finally find out how many legs Hinton's cat really has... #acl2023 #throwback @7c0h https://www.nobelprize.org/prizes/physics/2024/press-release/
Maybe at the Nobel lecture we'll finally find out how many legs Hinton's cat really has... #acl2023 #throwback @7c0h https://www.nobelprize.org/prizes/physics/2024/press-release/
Another big, international, non-funded project, got finished and published at #ACL2023 (the A* conference in NLP) and it's about the impact of the #BigTech in #NLP (we call it the Elephant paper ;-): https://inria.hal.science/hal-04105994
Martha Palmer, of lexical semantics in #nlproc fame and one of my profs at Penn, won the #ACL2023 lifetime achievement award.
Seeing a female prof in computer science was hugely important for me 20 years ago (and continues to be now). #acl2023nlp
Fantastic keynote by Alison Gopnik at #acl2023nlp , arguing that we should see large language models as a new cultural technology (think printing press, internet search) and not new kinds of (intelligent or not) agents #ACL2023 #llm
See the sheer joy of my collaborators at #ACL2023 when
DissentQA
won best Paper AC award
This is a happy outcome of the fruitful collaboration with a group of wonderfully friendly people
https://arxiv.org/abs/2211.05655
#nlproc #machinelearning #Qa #factuality
Presenting Riveter , a Python package to measure social dynamics between personas mentioned in text.
Given a verb lexicon, Riveter can extract entities and visualize relationships between them.
Package: https://github.com/maartensap/riveter-nlp
Paper: http://maartensap.com/pdfs/antoniak2023riveter.pdf
Video: https://youtube.com/watch?v=Uftyd8eCmFw
Demo Notebook: https://github.com/maartensap/riveter-nlp/blob/main/riveter/demo.ipynb
With Anjalie Field, Jimin Mun, Melanie Walsh, Lauren Klein, Maarten Sap
Check out our new paper "DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications", oral at @aclmeeting by lead author Adam Ivankay this Wednesday!
We show adversarial attacks to #explainability methods for #DeepNeuralNetworks in technical text domains, propose a quantification of this problem, and initial solutions.
Presentation: https://virtual2023.aclweb.org/paper_P1265.html
Paper: https://arxiv.org/abs/2307.02094
Code: https://github.com/ibm/domain-adaptive-attribution-robustness
So cool to see that #acl2023 is still the place where I can meet many old friends #computationalLinguistics
Die Bochumerinnen fühlen sich jedenfalls gleich wie zuhause #Toronto #Acl2023 #industrieruine
This is great news from ACL 2023:
https://2023.aclweb.org/registration/discounted_virtual_registration/
Discounted virtual registration ($0-100) for people attending from regions where ACL registration fees are out of reach.
Please spread the word! Applications due June 28.
Excited to share our new #acl2023 Findings paper! #nlp #nlproc
We introduce NeQA, a dataset consisting of questions with negation, in which language models exhibit inverse, U-shaped, or positive scaling, depending on prompting methods or model families.
https://arxiv.org/abs/2305.17311
How can we explore hidden biases in language models impacting fairness? Our #ACL2023 demo paper introduces Finspector, an interactive visualization widget available as a Python package for Jupyter, that helps uncover these biases.
Paper, Video, Code: https://www.bckwon.com/publication/finspector/
arXiv: https://arxiv.org/abs/2305.16937
GitHub: https://github.com/IBM/finspector
Our paper showcases a use case and discusses implications, limitations, and future work.
What do we learn from modeling second language acquisition (SLA)? Read our paper for #ACL2023 to find out about the importance of *negative* transfer + which elements of child-directed speech do and don't survive in text-based language models + a bonus new multi-lingual CDS corpus.
Two UKP papers have been accepted to *SEM 2023, which will happen July 13-14 as part of #ACL2023! Read the pre-prints here:
https://arxiv.org/abs/2211.01874
https://arxiv.org/pdf/2205.06733
Congratulations to the authors Tilman Beck, Andreas Waldis, Dominic Petrak, Nafise Sadat Moosavi and Iryna Gurevych!
Next, in Findings of ACL, there's "CoRRPUS: Codex-Leveraged Structured Representations for Neurosymbolic Story Understanding" by Yijiang River Dong, myself, & @ccb
I've mentioned this work before, but now it's published! Here, we used code-based #LLMs like Codex (RIP) to provide structure in story understanding, which we saw helps the LLM figure out what characters are doing better!
https://arxiv.org/abs/2212.10754
2/2 #ACL2023
Yay! 2/2 papers accepted at #ACL2023 !
First, in the main conference, there's
"FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information" by @zhuexe, Karmanya Aggarwal, Alex Feng, myself, & @ccb
Contributions:
- A corpus of data from people playing #DnD on Discord using a bot called #Avrae, made by @zhuexe himself. Avrae tracks vital game state information for D&D.
- #LLMs "translating" Avrae commands into plain English.
arXiv link TBA!
1/2
We need to re-think in-person conferences. Is hybrid alone enough? What about local satellites? #acl2023 #assets2023 #participation Visa processing times exclude people from conferences
Writing the "Limitations" section for an #ACL2023 submission feels a bit like scripting the text for Reviewer 2.