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- Universidade de Santiago de CompostelaES166 papers
- Uppsala UniversitySE145 papers
- Sorbonne UniversitéFR144 papers
- Universitat de BarcelonaES143 papers
- University of CambridgeGB142 papers
- University of GroningenNL142 papers
- Heidelberg UniversityDE140 papers
- University of EdinburghGB140 papers
- University of BristolGB139 papers
- Rutherford Appleton LaboratoryGB138 papers
- Eötvös Loránd UniversityHU136 papers
- University of BonnDE133 papers
7 papers · 2 filters
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…
Memory limitations are hidden in grammar
Carlos Gómez-Rodríguez, Morten H. Christiansen, Ramon Ferrer-i-Cancho
The ability to produce and understand an unlimited number of different sentences is a hallmark of human language. Linguists have sought to define the essence of this generative cap…
Anti dependency distance minimization in short sequences. A graph theoretic approach
Ramon Ferrer-i-Cancho, Carlos Gómez-Rodríguez
Dependency distance minimization (DDm) is a word order principle favouring the placement of syntactically related words close to each other in sentences. Massive evidence of the pr…
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…