no code implementations • RANLP 2021 • Alberto Muñoz-Ortiz, Michalina Strzyz, David Vilares
Different linearizations have been proposed to cast dependency parsing as sequence labeling and solve the task as: (i) a head selection problem, (ii) finding a representation of the token arcs as bracket strings, or (iii) associating partial transition sequences of a transition-based parser to words.
1 code implementation • COLING 2020 • Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
We present a bracketing-based encoding that can be used to represent any 2-planar dependency tree over a sentence of length n as a sequence of n labels, hence providing almost total coverage of crossing arcs in sequence labeling parsing.
1 code implementation • COLING 2020 • Carlos Gómez-Rodríguez, Michalina Strzyz, David Vilares
We define a mapping from transition-based parsing algorithms that read sentences from left to right to sequence labeling encodings of syntactic trees.
3 code implementations • 5 Feb 2020 • David Vilares, Michalina Strzyz, Anders Søgaard, Carlos Gómez-Rodríguez
We first cast constituent and dependency parsing as sequence tagging.
1 code implementation • IJCNLP 2019 • Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
We explore whether it is possible to leverage eye-tracking data in an RNN dependency parser (for English) when such information is only available during training, i. e., no aggregated or token-level gaze features are used at inference time.
1 code implementation • ACL 2019 • Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
We use parsing as sequence labeling as a common framework to learn across constituency and dependency syntactic abstractions.
no code implementations • 6 Apr 2019 • Michalina Strzyz, Carlos Gómez-Rodríguez
This paper proposes a novel technique that applies case-based reasoning in order to generate templates for reusable parse tree fragments, based on PoS tags of bigrams and trigrams that demonstrate low variability in their syntactic analyses from prior data.
1 code implementation • NAACL 2019 • Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels.