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Found 9 papers, 1 papers with code
On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations
The adaptation of pretrained language models to solve supervised tasks has become a baseline in NLP, and many recent works have focused on studying how linguistic information is encoded in the pretrained sentence representations.
FORGe at SemEval-2017 Task 9: Deep sentence generation based on a sequence of graph transducers
We present the contribution of Universitat Pompeu Fabra{'}s NLP group to the SemEval Task 9. 2 (AMR-to-English Generation).
DefExt: A Semi Supervised Definition Extraction Tool
We present DefExt, an easy to use semi supervised Definition Extraction Tool.
Example-based Acquisition of Fine-grained Collocation Resources
Collocations such as {``}heavy rain{''} or {``}make [a] decision{''}, are combinations of two elements where one (the base) is freely chosen, while the choice of the other (collocate) is restricted, depending on the base.
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