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Deciphering Undersegmented Ancient Scripts Using Phonetic Prior
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In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 69-81 (2021) (2021)
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Typology-aware neural dependency parsing : challenges and directions
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Transfer learning for low-resource natural language analysis
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Hierarchical low-rank tensors for multilingual transfer parsing
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In: http://aclweb.org/anthology/D/D15/D15-1213.pdf (2015)
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Context-dependent type-level models for unsupervised morpho-syntactic induction
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Linguistically Motivated Models for Lightly-Supervised Dependency Parsing
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In: http://people.csail.mit.edu/tahira/main.pdf (2014)
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Low-rank tensors for scoring dependency structures
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In: http://people.csail.mit.edu/tommi/papers/Lei-ACL14.pdf (2014)
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Abstract:
Accurate scoring of syntactic structures such as head-modifier arcs in dependency parsing typically requires rich, high-dimensional feature representations. A small subset of such features is often se-lected manually. This is problematic when features lack clear linguistic meaning as in embeddings or when the information is blended across features. In this paper, we use tensors to map high-dimensional fea-ture vectors into low dimensional repre-sentations. We explicitly maintain the pa-rameters as a low-rank tensor to obtain low dimensional representations of words in their syntactic roles, and to leverage mod-ularity in the tensor for easy training with online algorithms. Our parser consistently outperforms the Turbo and MST parsers across 14 different languages. We also ob-tain the best published UAS results on 5 languages.1 1
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URL: http://people.csail.mit.edu/tommi/papers/Lei-ACL14.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.647.396
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The MIT Faculty has made this article openly available. Please share how this access benefits you
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In: http://dspace.mit.edu/openaccess-disseminate/1721.1/59314/ (2014)
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Multilingual Part-of-Speech Tagging: Two Unsupervised Approaches
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In: http://dspace.mit.edu/openaccess-disseminate/1721.1/62804/ (2014)
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Linguistically motivated models for lightly-supervised dependency parsing
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Morphological segmentation : an unsupervised method and application to Keyword Spotting ; Unsupervised method and application to KWS
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Learning to map into a universal pos tagset
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In: http://people.csail.mit.edu/yuanzh/papers/emnlp2012.pdf (2012)
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Grounding Linguistic Analysis in Control Applications
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In: http://people.csail.mit.edu/branavan/papers/branavan-thesis.pdf (2012)
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In-domain relation discovery with meta-constraints via posterior regularization
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In: http://people.csail.mit.edu/regina/my_papers/sem_acl2011.pdf (2011)
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Learning to win by reading manuals in a monte-carlo framework
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In: http://www.aclweb.org/anthology/P11-1028/ (2011)
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Non-linear monte-carlo search in civilization II
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In: http://people.csail.mit.edu/branavan/papers/ijcai2011.pdf (2011)
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