Кросс-Лингвистический Парсинг

Previous research on annotation projection for parser induction across languages showed only limited success and often required substantial language-specific post-processing to fix inconsis- tencies and to lift the performance onto …...

AbstractContinuous word representations appeared to be a useful feature in many natural language processing tasks. Using fixed-dimension pre-trained word embeddings allows avoiding sparse bag-of-words representation and to train models with …...

AbstractState-of-the-art contextual embeddings are obtained from large language models available only for a few languages. For others, we need to learn representations using a multilingual model. There is an ongoing …...

AbstractThis paper considers the task of parsing low-resource languages in a scenario where parallel English data and also a limited seed of annotated sentences in the target language are available, …...