Papers by Katarzyna Krasnowska-Kieraś

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Challenge:	a new method of analysing sentence embeddings shows that linguistic information is retained in the vector representations of sentences.
Approach:	They propose a method of analysing the content of sentence embeddings based on probing tasks and contrasting languages.
Outcome:	The proposed method is based on probing tasks and classification datasets for two contrasting languages.

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Challenge:	Using constituency and dependency trees, syntactic representations are preferred for tasks such as nominal phrase extraction and identification of terminology.
Approach:	They propose a parsing technique that generates headed constituency trees which combine information typically contained in constituency and dependency trees.
Outcome:	The proposed method generates headed constituency trees with discontinuities and can generate constituency tree with discontinuity.