Can LSTM Learn to Capture Agreement? The Case of Basque

@article{Ravfogel2018CanLL,
  title={Can LSTM Learn to Capture Agreement? The Case of Basque},
  author={Shauli Ravfogel and Francis M. Tyers and Yoav Goldberg},
  journal={CoRR},
  year={2018},
  volume={abs/1809.04022}
}
Sequential neural networks models are powerful tools in a variety of Natural Language Processing (NLP) tasks. The sequential nature of these models raises the questions: to what extent can these models implicitly learn hierarchical structures typical to human language, and what kind of grammatical phenomena can they acquire? We focus on the task of agreement prediction in Basque, as a case study for a task that requires implicit understanding of sentence structure and the acquisition of a… CONTINUE READING
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