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Optimizing Local Probability Models for Statistical Parsing.

, , and . ECML, volume 2837 of Lecture Notes in Computer Science, page 409-420. Springer, (2003)

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Learning a Product of Experts with Elitist Lasso., and . IJCNLP, page 525-533. Asian Federation of Natural Language Processing / ACL, (2013)Combining Heterogeneous Classifiers for Word-Sense Disambiguation., , , , and . SENSEVAL@ACL, page 87-90. Association for Computational Linguistics, (2001)Spectral Learning., , and . IJCAI, page 561-566. Morgan Kaufmann, (2003)A comparison of Named-Entity Disambiguation and Word Sense Disambiguation., , , and . LREC, European Language Resources Association (ELRA), (2016)Regularization, adaptation, and non-independent features improve hidden conditional random fields for phone classification., , , and . ASRU, page 347-352. IEEE, (2007)Biomedical and Clinical English Model Packages in the Stanza Python NLP Library, , , , and . CoRR, (2020)Stanford typed dependencies manual, and . (September 2008)GreaseLM: Graph REASoning Enhanced Language Models, , , , , , and . International Conference on Learning Representations, (2021)Natural Language Processing Tools for the Digital Humanities.. DH, page 16. Stanford University Library, (2011)Contrastive Learning of Medical Visual Representations from Paired Images and Text, , , , and . (2020)cite arxiv:2010.00747.