Search Results for author: Michalina Strzyz

Found 8 papers, 6 papers with code

Not All Linearizations Are Equally Data-Hungry in Sequence Labeling Parsing

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.

Dependency Parsing

A Unifying Theory of Transition-based and 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.

Dependency Parsing

Bracketing Encodings for 2-Planar Dependency Parsing

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.

Dependency Parsing POS

Towards Making a Dependency Parser See

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.

Sequence Labeling Parsing by Learning Across Representations

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.

Constituency Parsing Dependency Parsing

Speeding Up Natural Language Parsing by Reusing Partial Results

no code implementations6 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.


Viable Dependency Parsing as Sequence Labeling

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.

Dependency Parsing

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