1 |
Multitask Easy-First Dependency Parsing: Exploiting Complementarities of Different Dependency Representations
|
|
|
|
In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03168039 ; 28th International Conference on Computational Linguistics, Dec 2020, Barcelona (on line), Spain. ⟨10.18653/v1/2020.coling-main.225⟩ (2020)
|
|
BASE
|
|
Show details
|
|
2 |
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
A Panoramic Survey of Natural Language Processing in the Arab World ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
The Paradigm Discovery Problem ...
|
|
|
|
Abstract:
This work treats the paradigm discovery problem (PDP), the task of learning an inflectional morphological system from unannotated sentences. We formalize the PDP and develop evaluation metrics for judging systems. Using currently available resources, we construct datasets for the task. We also devise a heuristic benchmark for the PDP and report empirical results on five diverse languages. Our benchmark system first makes use of word embeddings and string similarity to cluster forms by cell and by paradigm. Then, we bootstrap a neural transducer on top of the clustered data to predict words to realize the empty paradigm slots. An error analysis of our system suggests clustering by cell across different inflection classes is the most pressing challenge for future work. ... : Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ...
|
|
URL: https://dx.doi.org/10.3929/ethz-b-000462310 http://hdl.handle.net/20.500.11850/462310
|
|
BASE
|
|
Hide details
|
|
7 |
NADI 2020: The First Nuanced Arabic Dialect Identification Shared Task ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Gender-Aware Reinflectionusing Linguistically Enhanced Neural Models ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
The Paradigm Discovery Problem
|
|
|
|
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
|
|
BASE
|
|
Show details
|
|
|
|