Artificial intelligence classifies primary progressive aphasia from connected speech pubmed.ncbi.nlm.nih.gov/38912855/
English
Phillip Wolff
63 posts
Phillip Wolff
@PM_Wolff
Professor of Psychology. I use machine learning to investigate language semantics, reasoning, with application to the digital phenotyping of mental illness.
Emory University, Atlanta, GA Katılım Haziran 2014
76 Takip Edilen85 Takipçiler
Phillip Wolff retweetledi
Just published in Brain!
We used LLMs to classify (primary progressive aphasia) PPA in a data-driven way.
We found verb frequency is a critical variable in PPA classification. Saying "negotiate" versus "talk" makes a difference!
academic.oup.com/brain/advance-…
@DickersonLabMGH @PM_Wolff
English
English
Truly honored to be the recipient of the Mass General Neuroscience Transformative Scholar Award! I'm grateful for the recognition of my work and excited to dedicate my efforts toward enhancing the diagnosis of Alzheimer’s disease.
@MGHNeuroSci @MGH_RI @MGHNeurology
English
Phillip Wolff retweetledi
Stacy Abrams @staceyabrams made Biden & Kamala's win in Georgia possible. What an amazing woman! It was a moral victory for the nation.
The New York Times@nytimes
As Joe Biden took a narrow lead in Georgia on Friday, it was Stacey Abrams who was celebrated, a sign of her remarkable ascent as a power broker since her failed bid for governor of that state two years ago. nyti.ms/36t8CHV
English
Phillip Wolff retweetledi
Welcome back America! Congratulations to @JoeBiden and @KamalaHarris for their election! While we are about to celebrate the 5th anniversary of the Paris Agreement, this victory symbolizes our need to act together more than ever, in view of climate emergency. 🇺🇸
#Election2020
English
@robert_thorstad @WSJ @rossfadely @JeffersTess @InsightFellows @eekearney What a fantastic position! You never stop impressing me!
English
I'm thrilled to accept a data science role at @WSJ with @rossfadely, @JeffersTess and team focusing on building great digital products with data!
Special thanks to Matt Graci, Des Seraph, and @InsightFellows (Allen Chang, @eekearney, Kim Vo and my wonderful cohort of fellows)
English
What a fantastic position! You never stop impressing me!
Robert Thorstad@robert_thorstad
I'm thrilled to accept a data science role at @WSJ with @rossfadely, @JeffersTess and team focusing on building great digital products with data! Special thanks to Matt Graci, Des Seraph, and @InsightFellows (Allen Chang, @eekearney, Kim Vo and my wonderful cohort of fellows)
English
Phillip Wolff retweetledi
When conservatives attack their enemies, they do so from a position of social inferiority, so their attacks are resentful. When left attacks, it does so from a position of perceived moral superiority, so its attacks are filled with ridicule and scorn. nytimes.com/2019/12/12/opi…
English
Phillip Wolff retweetledi
.@SuryaGanguli & I are co-organizing the next @StanfordHAI Conference Apr 1, 2020—no joke!—on the topic Triangulating Intelligence: Melding Neuroscience, Psychology, and AI. Botvinick—@YejinChoinka—@chelseabfinn—@AudeOliva—Tenenbaum—@dyamins—save the date! hai.stanford.edu/events/triangu…
English
Phillip Wolff retweetledi
A terrific article identifying the strengths and limitations of the language model BERT.
Allyson Ettinger@AllysonEttinger
New paper up! “What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models” arxiv.org/abs/1907.13528. Tests that have elicited informative patterns in the brain prove quite useful for clarifying strengths and limitations of BERT pre-training.
English
Emory Psyc Department is conducting searches for positions in Human Cognition (apply.interfolio.com/65505) and Developmental Science (apply.interfolio.com/64756). Those using AI, Machine Learning and/or NLP methods to study cognition are especially encouraged to apply.
English
Phillip Wolff retweetledi
"The model uses 8.3 billion parameters and is 24 times larger than BERT and 5 times larger than OpenAI’s GPT-2"
Why am I not surprised? For such a computational effort, I hope the weights will be released publicly...
venturebeat.com/2019/08/13/nvi…
English
This is an outstanding paper (biorxiv.org/content/10.110…) with results that are highly compatible with the language-specific predictive processes instantiated in transformer networks like BERT and XLNet.
Ev (like in 'evidence', not Eve) Fedorenko 🇺🇦@ev_fedorenko
Very exited about this work led by Cory Shain and @IdanAsherBlank, also with @marty_with_an_e and William Schuler: biorxiv.org/content/10.110… " fMRI reveals language-specific predictive coding during naturalistic sentence comprehension" 1/4
English
Phillip Wolff retweetledi
One of my favorite ideas from #cog2019 #cogsci2019 so far . You can build human heuristics into machine learning models using something as simple as regularization. From Özgür Şimşek
English
Cool study showing how humans are able to identify objects from nearly any angle. disq.us/t/3g1vbz1
English
Artificial intelligence could spot early signs of schizophrenia newscientist.com/article/220730…
English
Phillip Wolff retweetledi
XLNet: a new pretraining method for NLP that significantly improves upon BERT on 20 tasks (e.g., SQuAD, GLUE, RACE)
arxiv: arxiv.org/abs/1906.08237
github (code + pretrained models): github.com/zihangdai/xlnet
with Zhilin Yang, @ZihangDai, Yiming Yang, Jaime Carbonell, @rsalakhu
English