Clsp.jhu.edu
Language as a Measure of Mental Health
WEBMental health is a global issue that affects us all. Global cost of mental health conditions: $2.5 trillion in $$ 2010, increasing to >$6 trillion in 2030. 1 in 4 worldwide will suffer from a mental health condition in their lifetime; 1 in 5 Americans experience a mental health problem in any given year. Suicide is the 10th leading cause of
Actived: 4 days ago
URL: https://www.clsp.jhu.edu/wp-content/uploads/2016/06/Language-as-a-Measure-of-Mental-Health.pdf
Ayah Zirikly combines natural language processing and …
WEBAyah Zirikly believes that natural language processing (NLP) can be used in the fight against mental illness. A new research scientist with both the Center for Language and Speech Processing (CLSP) and Malone Center for Engineering in Healthcare, Zirikly builds AI-enabled models that analyze social media posts and word usage patterns to …
Computational Language Analyses for Health and …
WEBAbstract What can language analyses reveal about human health and well-being? I build on computational linguistics, typically focused on a better understanding of language, to better understand people — their health and psychological characteristics — as revealed through Facebook status
Eugenia Rho (Virginia Tech) "Words Matter: How …
WEBEugenia Rho is an Assistant Professor of Computer Science at Virginia Tech, where she leads the SAIL (Society + AI & Language) Lab.. Her research lies at the intersection of Natural Language Processing (NLP) and Human-Computer Interaction (HCI).
Johns Hopkins scientists to build machine translation …
WEBA team of computer scientists at Johns Hopkins University has won a $10.7 million grant from the Office of the Director of National Intelligence to create an information retrieval and translation system for languages that are not widely used around the world. Philipp Koehn, a computer science professor in JHU’s Whiting School of Engineering, is …
Detecting Risk and Protective Factors of Mental Health …
WEBResearch Group of the 2016 Third Frederick Jelinek Memorial Summer Workshop; Team Presentations and Publications; Introduction. We propose a workshop centered around the first-of-its-kind “Penn SoMe+EHR Bank” [18], consisting of the electronic health records (EHR) and social media (SoMe) posts of thousands of consenting ER patients in the …
Q&A with machine Philipp Koehn, translation pioneer: The future …
WEBPhilipp Koehn: Today there’s a significant imbalance in the coverage of MT technology: Language pairs with vast volumes of training data, such as French-English, can be automatically translated close to human quality, but there are still hundreds of low-resource languages for which no MT systems exist at all.Translations have the power to …
Michael Auli (Facebook) "Sequence to Sequence Learning: Fast …
WEBAbstract Neural architectures for machine translation and language modeling is an active research field. The first part of this talk introduces several architectural changes to the original work of Bahdanau et al. 2014. We replace non-linearities with our novel gated linear units, recurrent units
Keith Harrigian (JHU) "Fighting Bias From Bias: Robust Natural …
WEBAbstract As artificial intelligence (AI) continues to rapidly expand into existing healthcare infrastructure – e.g., clinical decision support, administrative tasks, and public health surveillance – it is perhaps more important than ever to reflect on the broader purpose of such systems. Whil
No Language Left Behind
WEBNo Language Left Behind. June 29, 2023. Four billion people around the world speak languages not served by Siri, Alexa, or chatbots—to the detriment of global public health, human rights, and national security. Here’s how our experts are leveraging artificial intelligence to achieve digital equity for people the world over.
Detecting Deceptive Speech
WEBView Seminar Video Abstract This talk will discuss production and perception studies of deceptive speech and the acoustic/prosodic and lexical cues associated with deception. Experiments in which we collected a large corpus of deceptive and non-deceptive speech from naive subjects in the laboratory are described, together with …
JHU Summer School on Human Language Technology
WEBThird Frederick Jelinek Memorial Summer Workshop All lectures will be held in Hackerman Hall, room B17. All labs will be held in Malone 228. The morning lectures are open to the public. We request that you inform us at least one day in advance if you plan to attend. Participation in the afternoon laboratories may […]
Laureano Moro-Velazquez
WEBLaureano Moro-Velazquez is an assistant research scientist in the Center for Language and Speech Processing (CLSP) who focuses on the use of signal processing and machine learning for medical applications. Moro-Velazquez collaborates with colleagues in the departments of Neurology and Critical Care at Johns Hopkins School of Medicine to …
Event Extraction: Learning from Corpora
WEBAbstract Event extraction involves automatically finding, within a text, instances of a specified type of event, and filling a data base with information about the participants and circumstances (date, place) of the event. These data bases can provide an alternative, to traditional text search engines for repeated, focused searches on a single topic
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