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AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction.

D. Lee, R. Selvam, S. Sarwar, B. Lin, F. Morstatter, J. Pujara, E. Boschee, J. Allan, и X. Ren. EACL, стр. 3003-3017. Association for Computational Linguistics, (2023)

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Jay Pujara

Jay Jorgenson

Sylvain Jay

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Emmanuel Jay

Другие публикации лиц с тем же именем

From Tables to Knowledge: Recent Advances in Table Understanding.J. Pujara, P. Szekely, H. Sun, и M. Chen. KDD, стр. 4060-4061. ACM, (2021)AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction.D. Lee, R. Selvam, S. Sarwar, B. Lin, F. Morstatter, J. Pujara, E. Boschee, J. Allan, и X. Ren. EACL, стр. 3003-3017. Association for Computational Linguistics, (2023)Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models.F. Ilievski, K. Ma, A. Oltramari, P. Wang, и J. Pujara. Compendium of Neurosymbolic Artificial Intelligence, том 369 из Frontiers in Artificial Intelligence and Applications, IOS Press, (2023)Knowledge-Powered Recommendation for an Improved Diet Water Footprint.S. Joshi, F. Ilievski, и J. Pujara. CoRR, (2024)An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models.D. Garijo, D. Khider, V. Ratnakar, Y. Gil, E. Deelman, R. da Silva, C. Knoblock, Y. Chiang, M. Pham, J. Pujara и 15 other автор(ы). IUI Companion, стр. 111-112. ACM, (2019)Retrieving Complex Tables with Multi-Granular Graph Representation Learning.F. Wang, K. Sun, M. Chen, J. Pujara, и P. Szekely. SIGIR, стр. 1472-1482. ACM, (2021)RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms.P. Zhou, R. Khanna, S. Lee, B. Lin, D. Ho, J. Pujara, и X. Ren. EMNLP (1), стр. 7560-7579. Association for Computational Linguistics, (2021)D-REPR: A Language for Describing and Mapping Diversely-Structured Data Sources to RDF.B. Vu, J. Pujara, и C. Knoblock. K-CAP, стр. 189-196. ACM, (2019)Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.K. Sun, F. Wang, M. Chen, и J. Pujara. CIKM, стр. 1744-1753. ACM, (2021)SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables.M. Pham, C. Knoblock, M. Chen, B. Vu, и J. Pujara. IJCAI, стр. 3543-3551. ijcai.org, (2021)

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