posted by user: grupocole || 2252 views || tracked by 4 users: [display]

SSST 2013 : Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation

FacebookTwitterLinkedInGoogle

Link: http://www.cs.ust.hk/~dekai/ssst/
 
When Jun 13, 2013 - Jun 14, 2013
Where Atlanta, GA
Submission Deadline Mar 1, 2013
Notification Due Mar 29, 2013
Final Version Due Apr 12, 2013
Categories    NLP
 

Call For Papers



SSST-7: Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation

NAACL 2013 / SIGMT / SIGLEX Workshop Jun 13 or 14 2013, Atlanta, GA

*** Submission deadline: 01 Mar 2013 ***

The Seventh Workshop on Syntax, Semantics and Structure in Statistical Translation (SSST-7) seeks to build on the foundations established in the first six SSST workshops, which brought together a large number of researchers working on diverse aspects of structure, semantics and representation in relation to statistical machine translation. Its program each year has comprised high-quality papers discussing current work spanning topics including: new grammatical models of translation; new learning methods for syntax- and semantics-based models; formal properties of synchronous/transduction grammars (hereafter S/TGs); discriminative training of models incorporating linguistic features; using S/TGs for semantics and generation; and syntax- and semantics-based evaluation of machine translation.

The need for structural mappings between languages is widely recognized in the fields of statistical machine translation and spoken language translation, and there is a growing consensus that these mappings are appropriately represented using a family of formalisms that includes synchronous/transduction grammars and their tree-transducer equivalents. To date, flat-structured models, such as the word-based IBM models of the early 1990s or the more recent phrase-based models, remain widely used. But tree-structured mappings arguably offer a much greater potential for learning valid generalizations about relationships between languages.

Within this area of research there is a rich diversity of approaches. There is active research ranging from formal properties of S/TGs to large-scale end-to-end systems. There are approaches that make heavy use of linguistic theory, and approaches that use little or none. There is theoretical work characterizing the expressiveness and complexity of particular formalisms, as well as empirical work assessing their modeling accuracy and descriptive adequacy across various language pairs. There is work being done to invent better translation models, and work to design better algorithms. Recent years have seen significant progress on all these fronts. In particular, systems based on these formalisms are now top contenders in MT evaluations.

At the same time, SMT has seen a movement toward semantics over the past few years, which has been reflected at recent SSST workshops, including the last two editions which had semantics for SMT as a special theme. The issues of deep syntax and shallow semantics are closely linked and SSST-7 continues to encourage submissions on semantics for MT in a number of directions, including semantic role labeling and sense disambiguation for translation and evaluation.

We invite papers on:

* syntax-based / semantics-based / tree-structured SMT
* machine learning techniques for inducing structured translation models
* algorithms for training, decoding, and scoring with semantic representation structure
* empirical studies on adequacy and efficiency of formalisms
* creation and usefulness of syntactic/semantic resources for MT
* formal properties of synchronous/transduction grammars
* learning semantic information from monolingual, parallel or comparable corpora
* unsupervised and semi-supervised word sense induction and disambiguation methods for MT
* lexical substitution, word sense induction and disambiguation, semantic role labeling, textual entailment, paraphrase and other semantic tasks for MT
* semantic features for MT models (word alignment, translation lexicons, language models, etc.)
* evaluation of syntactic/semantic components within MT (task-based evaluation)
* scalability of structured translation methods to small or large data
* applications of S/TGs to related areas including:
speech translation
formal semantics and semantic parsing
paraphrases and textual entailment
information retrieval and extraction
* syntactically- and semantically-motivated evaluation of MT

ORGANIZERS

Marine CARPUAT, National Research Council Canada
Lucia SPECIA, University of Sheffield
Dekai WU, Hong Kong University of Science & Technology


IMPORTANT DATES

Mar 01, 2013 Paper due date
Mar 29, 2013 Notification of acceptance
Apr 12, 2013 Camera-ready deadline
Jun 13 or 14, 2013 Workshop

For more information: http://www.cs.ust.hk/~dekai/ssst/

Related Resources

ICMLA 2021   20th IEEE International Conference on Machine Learning and Applications
IJAD 2021   International Journal of Advanced Dermatology
SSDBM 2021   33rd International Conference on Scientific and Statistical Database Management (SSDBM 2021)
TSD 2021   The twenty-fourth International Conference on Text, Speech and Dialogue (TSD 2021).
VLSI 2021   12th International Conference on VLSI
MECHATROJ 2021   Mechatronics and Applications: An International Journal (MECHATROJ)
SEMAPRO 2021   The Fifteenth International Conference on Advances in Semantic Processing
IJCSEIT 2021   International Journal of Computer Science, Engineering and Information Technology
STARSEM 2021   THE TENTH JOINT CONFERENCE ON LEXICAL AND COMPUTATIONAL SEMANTICS
WiMoA 2021   3th International Conference on Wireless, Mobile Network and Applications