Browsing Tetherless World Publications by Issue Date

Now showing items 1-20 of 734

    • SQuAT: An Unsupervised, Semantic-Driven Question Answering System over Tables 

      Pan, Feifei; Katsis, Y.; Canim, M.; Mihindukulasooriya, N.; Dash, S.; Massimiliano Gliozzo, A.; Kumar, V.; Fauceglia, N.R.; Fox, Peter (VLDB, 2023-12-01)
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    • 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 ...

    • Characterizing Common Quarterly Behaviors In DeFi Lending Protocols 

      Green, Aaron; Giannattasio, Michael; Wang, Keran; Erickson, John S.; Seneviratne, Oshani; Bennett, Kristin P. (Springer, Cham., 2023-07)
      The emerging decentralized financial ecosystem (DeFi) is comprised of numerous protocols, one type being lending protocols. People make transactions in lending protocols, each of which is attributed to a specific blockchain ...

    • 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 ...

    • Eat4Genes: A Bioinformatic Rational Gene Targeting App and Prototype Model for Improving Human Health 

      Ford, M.L.; Cooley, J.M.; Sripada, V.; Erickson, John S.; Bennett, Kristin P.; Crawford, Dana R. (Frontiers in Nutrition, 2023-05-04)
      Eat4Genes is a prototype diet recommendation web app for patients, healthcare providers, and researchers that aids in the selection of a healthy diet to help treat and prevent numerous health conditions. Our approach is ...

    • Whyis 2: An Open Source Framework for Knowledge Graph Development and Research 

      McCusker, Jamie; McGuinness, Deborah L. (Springer, 2023-03-23)
      Whyis is the first open source framework for creating custom provenance-driven knowledge graph applications, or KGApps, support- ing three principal tasks: knowledge curation, inference, and interaction. It has been used ...

    • 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. ...

    • Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes 

      Chari, Shruthi; Acharya, Prasant; Gruen, Daniel M.; Zhang, Olivia; Eyigoz, Elif K.; Ghalwash, Mohamed; Seneviratne, Oshani; Saiz, Fernando Suarez; Meyer, Pablo; Chakraborty, Prithwish; McGuinness, Deborah L. (Elsevier, 2023-02)
      Medical experts may use Artificial Intelligence (AI) systems with greater trust if these are supported by ‘contextual explanations’ that let the practitioner connect system inferences to their context of use. However, their ...

    • Analyzing and predicting success of professional musicians 

      Kang, Inwon; Michael, Mandulak; Szymanśki, Bolesław (Scientific Reports, 2022-12-17)
      The emergence of streaming services, e.g., Spotify, has changed the way people listen to music and the way professional musicians achieve fame and success. Classical music has been the backbone of Western media for a long ...

    • 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. ...

    • Taxonomy generation to insert out of vocabulary terms and hypernym-hyponym pair induction 

      Pan, Feifei; Chowdhury, Md Faisal Mahbub; Gliozzo, Alfio Massimiliano (USPTO, 2022-11-15)
      An approach to induction of unknown terms into a term taxonomy graph may be provided. The approach may include analyzing a domain specific corpus to generate a term taxonomy graph using a term taxonomy graph generation ...

    • Guiding principles for technical infrastructure to support computable biomedical knowledge 

      McCusker, Jamie; McIntosh, Leslie D.; Shaffer, Chris; Boisvert, Peter; Ryan, James; Navale, Vivek; Topaloglu, Umit; Richesson, Rachel L. (Wiley Periodicals LLC, 2022-11-01)
      Over the past 4 years, the authors have participated as members of the Mobilizing Computable Biomedical Knowledge Technical Infrastructure working group and focused on conceptualizing the infrastructure required to use ...

    • Building and Analyzing the Brazilian Legal Knowledge Graph 

      Pires, Rilder S.; Santos, Henrique; Guedes, Ricardo; Neto, João A. Monteiro; Caminha, Carlos; Furtado, Vasco (Joint Proceedings of the 3th International Workshop on Artificial Intelligence Technologies for Legal Documents (AI4LEGAL 2022) and the 1st International Workshop on Knowledge Graph Summarization (KGSum 2022), 2022-11-01)
      Artificial Intelligence has proven to be effective in streamlining processes in several domains. The Brazilian judiciary, specifically, has a very large number of cases, above the work capacity of the courts, generating ...

    • EaT-PIM: Substituting Entities in Procedural Instructions Using Flow Graphs and Embeddings 

      Shirai, Sola; Kim, HyeongSik (Springer, Cham, 2022-10-16)
      When cooking, it can sometimes be desirable to substitute ingredients for purposes such as avoiding allergens, replacing a missing ingredient, or exploring new flavors. More generally, the problem of substituting entities ...

    • Crowdsourcing Perceptions of Gerrymandering 

      Kelly, Benjamin; Kang, Inwon; Xia, Lirong (Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2022-10-14)
      Gerrymandering is the manipulation of redistricting to influence the results of a set of elections for local representatives. Gerrymandering has the potential to drastically swing power in legislative bodies even with no ...

    • 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 ...

    • Knowledge Graph Construction from Data, Data Dictionaries, and Codebooks: the National Health and Nutrition Examination Surveys Use Case 

      Santos, Henrique; Pinheiro, Paulo; McGuinness, Deborah L. (2022-09-29)
      CDC’s National Health and Nutrition Examination Surveys (NHANES) is a continuous survey that aims to study the relationship between diet, nutrition, and health and their roles in designated population subgroups with selected ...

    • Differences in Cancer Phenotypes Among Frequent CHEK2 Variants and Implications for Clinical Care—Checking CHEK2 

      Bychkovsky, Brittany L; Agaoglu, Nihat B; Horton, Carolyn; Zhou, Jing; Yussuf, Amal; Hemyari, Parichehr; Richardson, Marcy E; Young, Colin; LaDuca, Holly; McGuinness, Deborah L.; Scheib, Rochelle; Garber, Judy E; Rana, Huma Q (JAMA Oncol., 2022-09-22)
      Importance Germline CHEK2 pathogenic variants (PVs) are frequently detected by multigene cancer panel testing (MGPT), but our understanding of PVs beyond c.1100del has been limited. Objective To compare cancer phenotypes ...

    • 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 ...

    • Should we tweet this? Generative response modeling for predicting reception of public health messaging on Twitter 

      Sanders, Abraham; Ray-Majumder, Debjani; Erickson, John S.; Bennett, Kristin P. (Association for Computing Machinery, New York, NY, USA, 2022-07-01)
      The way people respond to messaging from public health organizations on social media can provide insight into public perceptions on critical health issues, especially during a global crisis such as COVID-19. It could be ...