71 citations · 188 across the 18 of their papers we have counts for
7 papers · 1 filter
Towards Making a Dependency Parser See
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 aggregat…
Artificially Evolved Chunks for Morphosyntactic Analysis
Mark Anderson, David Vilares, Carlos Gómez-Rodríguez
We introduce a language-agnostic evolutionary technique for automatically extracting chunks from dependency treebanks. We evaluate these chunks on a number of morphosyntactic tasks…
Sequence Labeling Parsing by Learning Across Representations
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. To do so, we cast the problem as multitask learning (M…
HEAD-QA: A Healthcare Dataset for Complex Reasoning
David Vilares, Carlos Gómez-Rodríguez
We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Span…
Harry Potter and the Action Prediction Challenge from Natural Language
David Vilares, Carlos Gómez-Rodríguez
We explore the challenge of action prediction from textual descriptions of scenes, a testbed to approximate whether text inference can be used to predict upcoming actions. As a cas…
Viable Dependency Parsing as Sequence Labeling
Michalina Strzyz, David Vilares, Carlos Gómez-Rodríguez
We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had b…