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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 133 1 Deciphering Undersegmented Ancient Scripts Using Phonetic Prior Jiaming Luo; Frederik Hartmann; Enrico Santus... In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 69-81 (2021) (2021) BASE Show details 2 Few-shot text classification with distributional signatures Wu, Menghua,M. Eng.Massachusetts Institute of Technology.. - : Massachusetts Institute of Technology, 2020 BASE Show details 3 Typology-aware neural dependency parsing : challenges and directions Fisch, Adam(Adam Joshua). - : Massachusetts Institute of Technology, 2020 BASE Show details 4 Language style transfer Shen, Tianxiao. - : Massachusetts Institute of Technology, 2018 BASE Show details 5 Transfer learning for low-resource natural language analysis Zhang, Yuan, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2017 BASE Show details 6 Hierarchical low-rank tensors for multilingual transfer parsing Yuan Zhang; Regina Barzilay In: http://aclweb.org/anthology/D/D15/D15-1213.pdf (2015) BASE Show details 7 Context-dependent type-level models for unsupervised morpho-syntactic induction Lee, Yoong Keok. - : Massachusetts Institute of Technology, 2015 Abstract: Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015. ; This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. ; Cataloged from student-submitted PDF version of thesis. ; Includes bibliographical references (pages 126-141). ; This thesis improves unsupervised methods for part-of-speech (POS) induction and morphological word segmentation by modeling linguistic phenomena previously not used. For both tasks, we realize these linguistic intuitions with Bayesian generative models that first create a latent lexicon before generating unannotated tokens in the input corpus. Our POS induction model explicitly incorporates properties of POS tags at the type-level which is not parameterized by existing token-based approaches. This enables our model to outperform previous approaches on a range of languages that exhibit substantial syntactic variation. In our morphological segmentation model, we exploit the fact that axes are correlated within a word and between adjacent words. We surpass previous unsupervised segmentation systems on the Modern Standard Arabic Treebank data set. Finally, we showcase the utility of our unsupervised segmentation model for machine translation of the Levantine dialectal Arabic for which there is no known segmenter. We demonstrate that our segmenter outperforms supervised and knowledge-based alternatives. ; by Yoong Keok Lee. ; Ph. D. Keyword: Electrical Engineering and Computer Science URL: http://hdl.handle.net/1721.1/97759 BASE Hide details 8 Linguistically Motivated Models for Lightly-Supervised Dependency Parsing Tahira Naseem; Regina Barzilay; Leslie A. Kolodziejski In: http://people.csail.mit.edu/tahira/main.pdf (2014) BASE Show details 9 Low-rank tensors for scoring dependency structures Tao Lei; Yu Xin; Yuan Zhang... In: http://people.csail.mit.edu/tommi/papers/Lei-ACL14.pdf (2014) BASE Show details 10 The MIT Faculty has made this article openly available. Please share how this access benefits you Citable Link; Unsupervised Multilingual; Grammar Induction... In: http://dspace.mit.edu/openaccess-disseminate/1721.1/59314/ (2014) BASE Show details 11 Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches Citable Link; Tahira Naseem; Benjamin Snyder... In: http://dspace.mit.edu/openaccess-disseminate/1721.1/62804/ (2014) BASE Show details 12 Linguistically motivated models for lightly-supervised dependency parsing Naseem, Tahira. - : Massachusetts Institute of Technology, 2014 BASE Show details 13 Morphological segmentation : an unsupervised method and application to Keyword Spotting ; Unsupervised method and application to KWS Narasimhan, Karthik Rajagopal. - : Massachusetts Institute of Technology, 2014 BASE Show details 14 Parsing with sparse annotated resources Zhang, Yuan, Ph. D. Massachusetts Institute of Technology. - : Massachusetts Institute of Technology, 2013 BASE Show details 15 Learning to map into a universal pos tagset Yuan Zhang; Roi Reichart; Regina Barzilay... In: http://people.csail.mit.edu/yuanzh/papers/emnlp2012.pdf (2012) BASE Show details 16 Grounding Linguistic Analysis in Control Applications Satchuthananthavale Rasiah; Kuhan Branavan; Regina Barzilay In: http://people.csail.mit.edu/branavan/papers/branavan-thesis.pdf (2012) BASE Show details 17 Grounding linguistic analysis in control applications Branavan, Satchuthananthavale Rasiah Kuhan. - : Massachusetts Institute of Technology, 2012 BASE Show details 18 In-domain relation discovery with meta-constraints via posterior regularization Harr Chen; Edward Benson; Tahira Naseem... In: http://people.csail.mit.edu/regina/my_papers/sem_acl2011.pdf (2011) BASE Show details 19 Learning to win by reading manuals in a monte-carlo framework S. R. K. Branavan; David Silver; Regina Barzilay In: http://www.aclweb.org/anthology/P11-1028/ (2011) BASE Show details 20 Non-linear monte-carlo search in civilization II S. R. K. Branavan; David Silver; Regina Barzilay In: http://people.csail.mit.edu/branavan/papers/ijcai2011.pdf (2011) BASE Show details Page: 1 2 3 4 5...7

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