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Cross-Lingual Bridges with Models of Lexical Borrowing
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In: http://www.cs.cmu.edu/%7Eytsvetko/papers/loanwords-jair.pdf (2016)
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Weakly-supervised grammar-informed Bayesian CCG parser learning
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In: http://www.dhgarrette.com/papers/garrette_dyer_baldridge_smith_aaai2015.pdf (2015)
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Learning word representations with hierarchical sparse coding
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In: http://proceedings.mlr.press/v37/yogatama15.pdf (2015)
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Cross-Lingual Bridges with Models of Lexical Borrowing
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In: http://demo.clab.cs.cmu.edu/cdyer/loanwords-jair.pdf (2015)
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Discriminative lexical semantic segmentation with gaps: Running the MWE gamut. Transactions of the Association for Computational Linguistics
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In: https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/download/281/80/ (2014)
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Crowdsourcing high-quality parallel data extraction from Twitter
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In: http://anthology.aclweb.org/W/W14/W14-3356.pdf (2014)
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A discriminative graph-based parser for the abstract meaning representation
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In: http://aclweb.org/anthology/P/P14/P14-1134.pdf (2014)
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A discriminative graph-based parser for the abstract meaning representation.
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In: http://acl2014.org/acl2014/P14-1/pdf/P14-1134.pdf (2014)
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Tree Transduction Tools for Cdec
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In: Prague Bulletin of Mathematical Linguistics , Vol 102, Iss 1, Pp 27-36 (2014) (2014)
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Improved part-of-speech tagging for online conversational text with word clusters
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In: http://aclweb.org/anthology/N/N13/N13-1039.pdf (2013)
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Abstract:
We consider the problem of part-of-speech tagging for informal, online conversational text. We systematically evaluate the use of large-scale unsupervised word clustering and new lexical features to improve tagging accuracy. With these features, our system achieves state-of-the-art tagging results on both Twitter and IRC POS tagging tasks; Twitter tagging is improved from 90 % to 93% accuracy (more than 3 % absolute). Qualitative analysis of these word clusters yields insights about NLP and linguistic phenomena in this genre. Additionally, we contribute the first POS annotation guidelines for such text and release a new dataset of English language tweets annotated using these guidelines. Tagging software, annotation guidelines, and large-scale word clusters are available at:
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URL: http://aclweb.org/anthology/N/N13/N13-1039.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.378.1798
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Improved part-of-speech tagging for online conversational text with word clusters
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In: http://www.ark.cs.cmu.edu/TweetNLP/owoputi+etal.naacl13.pdf (2013)
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Improved part-of-speech tagging for online conversational text with word clusters
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In: http://www.cs.cmu.edu/~nschneid/twpos-improved.pdf (2013)
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Improved part-of-speech tagging for online conversational text with word clusters
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In: http://www.cs.cmu.edu/~nasmith/papers/owoputi+oconnor+dyer+gimpel+schneider+smith.naacl13.pdf (2013)
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Generating English determiners in phrase-based translation with synthetic translation options
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In: http://wing.comp.nus.edu.sg/~antho/W/W13/W13-2234.pdf (2013)
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Predicting a scientific community’s response to an article
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In: http://aclweb.org/anthology-new/D/D11/D11-1055.pdf (2011)
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Context-free reordering, finitestate translation
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In: http://www.aclweb.org/anthology/N/N10/N10-1128.pdf (2010)
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A Gibbs sampler for phrasal synchronous grammar induction
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In: http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/ACLIJCNLP/pdf/ACLIJCNLP088.pdf (2009)
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Using a maximum entropy model to build segmentation lattices for mt
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In: http://www.mt-archive.info/NAACL-HLT-2009-Dyer.pdf (2009)
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Moses: Open source toolkit for statistical machine translation
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In: http://www-csli.stanford.edu/~ccb/publications/moses-toolkit.pdf (2007)
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Moses: Open Source Toolkit for Statistical Machine Translation
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In: http://www.mt-archive.info/ACL-2007-Koehn.pdf (2007)
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