Agnieszka Falenska

3 paper cards in Mova's library · 2017–2020

Agnieszka Falenska wrote 3 of the papers Mova reads, in 2017–2020, most of them on Dependency parsing, Universal Dependencies, Treebanks; often with Jonas Kuhn, Anders Björkelund, Xiang Yu.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era (2020)
The paper asks whether combining a graph-based and a transition-based parser still helps once the parsers use BiLSTM encoders and ELMo embeddings.
Head-First Linearization with Tree-Structured Representation (2019)
The paper linearises a dependency tree, that is, it finds the word order of an unordered tree. It has two parts. The encoder is a bidirectional Tree-LSTM that passes information first up the tree and then down, so that each token sees the whole tree. The decoder is head-first: it starts at the head and attaches…
'IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks' (2017)
This is the IMS system for the CoNLL 2017 raw-text-to-UD task, which finished third overall and second on the surprise languages.