| 1 |
Cross-Lingual Bridges with Models of Lexical Borrowing
|
|
|
|
In: http://www.cs.cmu.edu/%7Eytsvetko/papers/loanwords-jair.pdf (2016)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
Weakly-supervised grammar-informed Bayesian CCG parser learning
|
|
|
|
In: http://www.dhgarrette.com/papers/garrette_dyer_baldridge_smith_aaai2015.pdf (2015)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
Learning word representations with hierarchical sparse coding
|
|
|
|
In: http://proceedings.mlr.press/v37/yogatama15.pdf (2015)
|
|
BASE
|
|
Show details
|
|
|
| 4 |
Cross-Lingual Bridges with Models of Lexical Borrowing
|
|
|
|
In: http://demo.clab.cs.cmu.edu/cdyer/loanwords-jair.pdf (2015)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Discriminative lexical semantic segmentation with gaps: Running the MWE gamut. Transactions of the Association for Computational Linguistics
|
|
|
|
In: https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/download/281/80/ (2014)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
Crowdsourcing high-quality parallel data extraction from Twitter
|
|
|
|
In: http://anthology.aclweb.org/W/W14/W14-3356.pdf (2014)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
A discriminative graph-based parser for the abstract meaning representation
|
|
|
|
In: http://aclweb.org/anthology/P/P14/P14-1134.pdf (2014)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
A discriminative graph-based parser for the abstract meaning representation.
|
|
|
|
In: http://acl2014.org/acl2014/P14-1/pdf/P14-1134.pdf (2014)
|
|
Abstract:
Abstract Abstract Meaning Representation (AMR) is a semantic formalism for which a growing set of annotated examples is available. We introduce the first approach to parse sentences into this representation, providing a strong baseline for future improvement. The method is based on a novel algorithm for finding a maximum spanning, connected subgraph, embedded within a Lagrangian relaxation of an optimization problem that imposes linguistically inspired constraints. Our approach is described in the general framework of structured prediction, allowing future incorporation of additional features and constraints, and may extend to other formalisms as well. Our open-source system, JAMR, is available at: http://github.com/jflanigan/jamr
|
|
URL: http://acl2014.org/acl2014/P14-1/pdf/P14-1134.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1068.2697
|
|
BASE
|
|
Hide details
|
|
|
| 9 |
Tree Transduction Tools for Cdec
|
|
|
|
In: Prague Bulletin of Mathematical Linguistics , Vol 102, Iss 1, Pp 27-36 (2014) (2014)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Improved part-of-speech tagging for online conversational text with word clusters
|
|
|
|
In: http://aclweb.org/anthology/N/N13/N13-1039.pdf (2013)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Improved part-of-speech tagging for online conversational text with word clusters
|
|
|
|
In: http://www.ark.cs.cmu.edu/TweetNLP/owoputi+etal.naacl13.pdf (2013)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Improved part-of-speech tagging for online conversational text with word clusters
|
|
|
|
In: http://www.cs.cmu.edu/~nschneid/twpos-improved.pdf (2013)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Improved part-of-speech tagging for online conversational text with word clusters
|
|
|
|
In: http://www.cs.cmu.edu/~nasmith/papers/owoputi+oconnor+dyer+gimpel+schneider+smith.naacl13.pdf (2013)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Generating English determiners in phrase-based translation with synthetic translation options
|
|
|
|
In: http://wing.comp.nus.edu.sg/~antho/W/W13/W13-2234.pdf (2013)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Predicting a scientific community’s response to an article
|
|
|
|
In: http://aclweb.org/anthology-new/D/D11/D11-1055.pdf (2011)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Context-free reordering, finitestate translation
|
|
|
|
In: http://www.aclweb.org/anthology/N/N10/N10-1128.pdf (2010)
|
|
BASE
|
|
Show details
|
|
|
| 17 |
A Gibbs sampler for phrasal synchronous grammar induction
|
|
|
|
In: http://nlp.csie.ncnu.edu.tw/~shin/acl-ijcnlp2009/proceedings/CDROM/ACLIJCNLP/pdf/ACLIJCNLP088.pdf (2009)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Using a maximum entropy model to build segmentation lattices for mt
|
|
|
|
In: http://www.mt-archive.info/NAACL-HLT-2009-Dyer.pdf (2009)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Moses: Open source toolkit for statistical machine translation
|
|
|
|
In: http://www-csli.stanford.edu/~ccb/publications/moses-toolkit.pdf (2007)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Moses: Open Source Toolkit for Statistical Machine Translation
|
|
|
|
In: http://www.mt-archive.info/ACL-2007-Koehn.pdf (2007)
|
|
BASE
|
|
Show details
|
|
|
|
|
