Browsing Tetherless World Publications by Author "Hendler, James A."

Now showing items 1-20 of 154

    • Leveraging Large Language Models for Mental Health Prediction via Online Text Data 

      Xu, Xuhai; Yao, Bingsheng; Dong, Yuanzhe; Yu, Hong; Hendler, James A.; Dey, Anind K.; Wang, Dakuo (ACM, 2023-07-26)
      The recent technology boost of large language models (LLMs) has empowered a variety of applications. However, there is very little research on understanding and improving LLMs' capability for the mental health domain. In ...

    • Semantically enabling clinical decision support recommendations 

      Seneviratne, Oshani; Das, Amar K.; Chari, Shruthi; Agu, Nkechinyere N.; Rashid, Sabbir M.; McCusker, Jamie P.; Franklin, Jade S.; Qi, Miao; Bennett, Kristin P.; Chen, Ching-Hua; Hendler, James A.; McGuinness, Deborah L. (BMC/Springer Nature, 2023-07-18)
      Background Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations ...

    • Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations 

      Yao, Bingsheng; Sen, Prithviraj; Popa, Lucian; Hendler, James A.; Wang, Dakuo (Association for Computational Linguistics, 2023-07)
      Human-annotated labels and explanations are critical for training explainable NLP models. However, unlike human-annotated labels whose quality is easier to calibrate (e.g., with a majority vote), human-crafted free-form ...

    • Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture 

      Yao, Bingsheng; Jindal, Ishan; Popa, Lucian; Katsis, Yannis; Ghosh, Sayan; He, Lihong; Lu, Yuxuan; Srivastava, Shashank; Hendler, James A.; Wang, Dakuo (arXiv, 2023-05-23)
      Data annotation is a costly task; thus, researchers have proposed low-scenario learning techniques like Active-Learning (AL) to support human annotators; Yet, existing AL works focus only on the label, but overlook the ...

    • Understanding the limits of AI coding 

      Hendler, James A. (AAAS, 2023-02-09)
      In the 9 December 2022 issue, the Research Article “Competition-level code generation with AlphaCode” (Y. Li et al., p. 1092) and the accompanying Perspective, “AlphaCode and ‘datadriven’ programming” (J. Z. Kolter, p. ...

    • Loaded Language and Conspiracy Theories on Reddit and Parler 

      Klein, Emily; Hendler, James A.; Golbeck, Jen (eScholarship.org (Univ. of California), 2023)
      Previous research found that loaded language (i.e., words, phrases, and overall rhetorical strategies that have strong emotional implications and intent to sway others) is used with significantly greater frequency by users ...

    • Semantic Technologies for Clinically Relevant Personal Health Applications 

      Chen, Ching-Hau; Gruen, Daniel; Harris, Jonathan; Hendler, James A.; McGuinness, Deborah L.; Monti, Marco; Rastogi, Nidhi; Seneviratne, Oshani; Zaki, Mohammed J (Springer, 2022-11-23)
      Despite recent advances in digital health solutions and machine learning, personal health applications that aim to modify health behaviors are still limited in their ability to offer more personalized decision support. ...

    • Semi automated process for generating knowledge graphs for marginalized community doctoral-recipients. 

      Keshan, Neha; Fontaine, Kathy; Hendler, James A. (Emerald Publishing Limited, 2022-10-13)
      Purpose – This paper aims to describe the “InDO: Institute Demographic Ontology” and demonstrates the InDO-based semiautomated process for both generating and extending a knowledge graph to provide a comprehensive resource ...

    • The (Uncomputable!) Meaning of Ethically Charged Natural Language, for Robots, and Us, from Hypergraphical Inferential Semantics 

      Bringsjord, Selmer; Hendler, James A.; Govindarajulu, Naveen Sundar; Ghosh, Rikhiya; Giancola, Michael (Springer, Cham, 2022-09-08)
      The year is 2030. A two-young-child, two-parent household, the Rubensteins, owns and employs a state-of-the-art household robot, Rodney. With the parents out, the children ask Rodney to perform some action �� that violates ...

    • Loaded Language and Conspiracy Theorizing 

      Klein, Emily; Hendler, James A. (UC Merced, 2022-06)
      Loaded language is an umbrella term for words, phrases, and overall rhetorical strategies that have strong emotional implications and intent to sway others. Belief in conspiracy theories is tied to a range of strong emotions ...

    • Knowledge graphs: Introduction, history, and perspectives 

      Chaudhri, V. K.; Baru, C.; Chittar, N.; Dong, X. L.; Genesereth, M.; Hendler, James A.; Kalyanpur, A.; Lenat, D.; Sequeda, Juan; Vrandečić, D.; Wang, K. (Wiley, 2022-03-31)
      Knowledge graphs (KGs) have emerged as a compelling abstraction for organizing the world's structured knowledge and for integrating information extracted from multiple data sources. They are also beginning to play a central ...

    • End-to-End Table Question Answering via Retrieval-Augmented Generation 

      Pan, FeiFei; Canim, Mustafa; Glass, Michael; Gliozzo, Alfio; Hendler, James A. (arXiv, 2022-03)
      Most existing end-to-end Table Question Answering (Table QA) models consist of a two-stage framework with a retriever to select relevant table candidates from a corpus and a reader to locate the correct answers from table ...

    • InDO: the Institute Demographic Ontology 

      Keshan, Neha; Fontaine, Kathy; Hendler, James A. (Springer, Cham, 2022-01-01)
      Graduate education institutes in the United States (US) have been working on programs to increase the number of students and faculty from marginalized communities. When choosing to pursue a doctoral degree, the common ...

    • InDO: the Institute Demographic Ontology 

      Keshan, Neha; Fontaine, Kathy; Hendler, James A. (Springer, Cham, 2021-11-22)
      Graduate education institutes in the United States (US) have been working on programs to increase the number of students and faculty from marginalized communities. When choosing to pursue a doctoral degree, the common ...

    • AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray 

      Agu, Nkechinyere; Wu, Joy T.; Chao, Hanqing; Lourentzou, Ismini; Sharma, Arjun; Moradi, Mehdi; Yan, Pingkun; Hendler, James A. (Springer-Verlag, Berlin, Heidelberg, 2021-09-27)
      Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision. However, most existing deep learning models only look at the entire X-ray image for classification, ...

    • Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science 

      Berendt, Bettina; Gandon, Fabien; Halford, Susan; Hall, Wendy; Hendler, James A.; Kinder-Kurlanda, Katharina E.; Ntoutsi, Eirini; Staab, Steffen (Schloss Dagstuhl - LZI GmbH, 2021-03-31)
      This Manifesto was produced from the Perspectives Workshop 18262 entitled "10 Years of Web Science" that took place at Schloss Dagstuhl from June 24 – 29, 2018. At the Workshop, we revisited the origins of Web Science, ...

    • Foreign language acquisition via artificial intelligence and extended reality: design and evaluation 

      Divekar, Rahul R.; Drozdal, Jaimie; Chabot, Samuel; Zhou, Yalun; Su, Hui; Chen, Yue; Zhu, Houming; Hendler, James A.; Braasch, Jonas (Taylor & Francis, 2021-02-15)
      Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion ...

    • Training Deep Neural Networks with Constrained Learning Parameters 

      Date, Prasanna; Carothers, Christopher D.; Mitchell, John E.; Hendler, James A.; Magdon-Ismail, Malik (arXiv, 2020-12)
      Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing to double precision floating point learning ...

    • Semantic Web for the Working Ontologist: Third Edition 

      Allemang, Dean; Hendler, James A.; Gandon, F. (ACM Press, 2020-07-28)
      Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more ...

    • Reflections on successful research in artificial intelligence: An introduction 

      Chen, Ching-Hua; Hendler, James A.; Rashid, Sabbir; Seneviratne, Oshani; Sow, Daby; Srivastava, Biplav (Association for the Advancement of Artificial Intelligence, 2019-11-20)
      This editorial introduces the special topic articles on reflections on successful research in artificial intelligence. Consisting of a combination of interviews and full-length articles, the special topic articles examine ...