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UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus ...
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"Is depression related to cannabis?": A Knowledge-infused Model for Entity and Relation Extraction with Limited Supervision
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In: Publications (2021)
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Abstract:
With strong marketing advocacy of the benefits of cannabis use for improved mental health, cannabis legalization is a priority among legislators. However, preliminary scientific research does not conclusively associate cannabis with improved mental health. In this study, we explore the relationship between depression and consumption of cannabis in a targeted social media corpus involving personal use of cannabis with the intent to derive its potential mental health benefit. We use tweets that contain an association among three categories annotated by domain experts - Reason, Effect, and Addiction. The state-of-the-art Natural Langauge Processing techniques fall short in extracting these relationships between cannabis phrases and the depression indicators. We seek to address the limitation by using domain knowledge; specifically, the Drug Abuse Ontology for addiction augmented with Diagnostic and Statistical Manual of Mental Disorders lexicons for mental health. Because of the lack of annotations due to the limited availability of the domain experts’ time, we use supervised contrastive learning in conjunction with GPT-3 trained on a vast corpus to achieve improved performance even with limited supervision. Experimental results show that our method can significantly extract cannabis-depression relationships better than the state-of-the-art relation extractor. High-quality annotations can be provided using a nearest neighbor approach using the learned representations that can be used by the scientific community to understand the association between cannabis and depression better.
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Keyword:
Cannabis Crisis; Computer Engineering; Depression; Electrical and Computer Engineering; knowledge infusion; Legalization; Mental Health; Relation Extraction
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URL: https://scholarcommons.sc.edu/cgi/viewcontent.cgi?article=1519&context=aii_fac_pub https://scholarcommons.sc.edu/aii_fac_pub/505
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Analyzing and Learning the Language for Different Types of Harassment
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In: Publications (2020)
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ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
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In: Publications (2020)
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Analyzing and Learning the Language for Different Types of Harassment
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In: Amit P. Sheth (2020)
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ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
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In: Amit P. Sheth (2020)
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Personalized Prediction of Suicide Risk for Web-based Intervention
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In: Krishnaprasad Thirunarayan (2019)
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Personalized Prediction of Suicide Risk for Web-based Intervention
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In: Amit P. Sheth (2019)
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Personalized Prediction of Suicide Risk for Web-based Intervention
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In: Kno.e.sis Publications (2018)
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Database and Expert Systems Applications - 28th International Conference, DEXA 2017, Lyon, France, Proceedings part II
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In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; 28th International Conference on Database and Expert Systems Applications and Workshops (DEXA 2017) ; https://hal.archives-ouvertes.fr/hal-03120290 ; Benslimane, Djamal; Damiani, Ernesto; Grosky, William I.; Hameurlain, Abdelkader; Sheth, Amit P.; Wagner, Roland R. 28th International Conference on Database and Expert Systems Applications and Workshops (DEXA 2017), Aug 2017, Lyon, France. Lecture Notes in Computer Science, 10439 (Part II), Springer, 2017, Database and Expert Systems Applications 28th International Conference, DEXA 2017, Lyon, France, 978-3-319-64470-7. ⟨10.1007/978-3-319-64471-4⟩ ; https://link.springer.com/book/10.1007%2F978-3-319-64471-4 (2017)
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RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem
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In: Publications (2017)
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RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem
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In: Kno.e.sis Publications (2017)
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What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
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In: Valerie Shalin (2017)
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What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
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In: Valerie Shalin (2017)
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RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem
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In: Amit P. Sheth (2017)
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Intent Classification of Short-Text on Social Media
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In: Valerie Shalin (2017)
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Context-Aware Semantic Association Ranking
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In: Amit P. Sheth (2016)
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ezDI's Semantics-Enhanced Linguistic, NLP, and ML Approach for Health Informatics
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In: Amit P. Sheth (2016)
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Intent Classification of Short-Text on Social Media
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In: Amit P. Sheth (2016)
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Intent Classification of Short-Text on Social Media
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In: Krishnaprasad Thirunarayan (2016)
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