Search for tag: "natural language processing"
Analyzing the underlying mechanisms of cross-platform validity for Natural Language Processing-based predictive models that identify mental disorders in social media users, Yubi Mamiya, UG '26 (3995017)Recent, dramatic increases in life-threatening self-harm and hospitalizations of young people due to mental disorders has motivated efforts to preemptively identify suffering individuals and connect…
From Research Princeton Research Day
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Retrieving by Finding Shortcuts in Representation Space, Michael Tang, UG '24 (2272401)Information retrieval (IR) is the task of learning useful ways of representing text documents that allow us to efficiently relevant the most relevant documents for a given query, e.g. by encoding…
From Research Princeton Research Day
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Examining Gender Differences in Investor Questions Towards Entrepreneurs: A Shark Tank Case Study, Alison Lee, UG '24 (2262563)Venture capital allows startups to scale and be successful quickly, yet women have historically been excluded from a majority of this funding. We explore the potential explanation that investors ask…
From Research Princeton Research Day
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How Does ChatGPT Work? An Overview of Large Language Models (Part 3 of 3)Speakers: Ameet Deshpande and Alexander Wettig, Computer Science Department, Princeton University This presentation gives an overview of the key technologies behind ChatGPT with a discussion of…
From jdh4 Halverson
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How Does ChatGPT Work? An Overview of Large Language Models (Part 2 of 3)Speakers: Ameet Deshpande and Alexander Wettig, Computer Science Department, Princeton University This presentation gives an overview of the key technologies behind ChatGPT with a discussion of…
From jdh4 Halverson
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CITP Seminar- Anjalie Field - Building Language Technologies for Analyzing Online ActivismWhile recent advances in natural language processing (NLP) have greatly enhanced our ability to analyze online text, distilling broad social-oriented research questions into tasks concrete enough for…
From CI Center for Information Technology Policy
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