20 citations · 25 across the 10 of their papers we have counts for
17 papers
Structured Sentiment Analysis as Transition-based Dependency Graph Parsing
Daniel Fernández-González
Structured sentiment analysis (SSA) aims to automatically extract people's opinions from a text in natural language and adequately represent that information in a graph structure.…
Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers
Daniel Fernández-González
Intelligent voice assistants, such as Apple Siri and Amazon Alexa, are widely used nowadays. These task-oriented dialogue systems require a semantic parsing module in order to proc…
Transition-based Semantic Role Labeling with Pointer Networks
Daniel Fernández-González
Semantic role labeling (SRL) focuses on recognizing the predicate-argument structure of a sentence and plays a critical role in many natural language processing tasks such as machi…
Discontinuous Grammar as a Foreign Language
Daniel Fernández-González, Carlos Gómez-Rodríguez
In order to achieve deep natural language understanding, syntactic constituent parsing is a vital step, highly demanded by many artificial intelligence systems to process both text…
Dependency Parsing with Bottom-up Hierarchical Pointer Networks
Daniel Fernández-González, Carlos Gómez-Rodríguez
Dependency parsing is a crucial step towards deep language understanding and, therefore, widely demanded by numerous Natural Language Processing applications. In particular, left-t…
Reducing Discontinuous to Continuous Parsing with Pointer Network Reordering
Daniel Fernández-González, Carlos Gómez-Rodríguez
Discontinuous constituent parsers have always lagged behind continuous approaches in terms of accuracy and speed, as the presence of constituents with discontinuous yield introduce…
Multitask Pointer Network for Multi-Representational Parsing
Daniel Fernández-González, Carlos Gómez-Rodríguez
We propose a transition-based approach that, by training a single model, can efficiently parse any input sentence with both constituent and dependency trees, supporting both contin…
Transition-based Semantic Dependency Parsing with Pointer Networks
Daniel Fernández-González, Carlos Gómez-Rodríguez
Transition-based parsers implemented with Pointer Networks have become the new state of the art in dependency parsing, excelling in producing labelled syntactic trees and outperfor…
Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing
Daniel Fernández-González, Carlos Gómez-Rodríguez
Sequence-to-sequence constituent parsing requires a linearization to represent trees as sequences. Top-down tree linearizations, which can be based on brackets or shift-reduce acti…
Discontinuous Constituent Parsing with Pointer Networks
Daniel Fernández-González, Carlos Gómez-Rodríguez
One of the most complex syntactic representations used in computational linguistics and NLP are discontinuous constituent trees, crucial for representing all grammatical phenomena…
Left-to-Right Dependency Parsing with Pointer Networks
Daniel Fernández-González, Carlos Gómez-Rodríguez
We propose a novel transition-based algorithm that straightforwardly parses sentences from left to right by building attachments, with being the length of the input sentenc…
Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing
Daniel Fernández-González, Carlos Gómez-Rodríguez
We introduce novel dynamic oracles for training two of the most accurate known shift-reduce algorithms for constituent parsing: the top-down and in-order transition-based parsers.…
A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing
Daniel Fernández-González, Carlos Gómez-Rodríguez
We propose an efficient dynamic oracle for training the 2-Planar transition-based parser, a linear-time parser with over 99% coverage on non-projective syntactic corpora. This nove…
Faster Shift-Reduce Constituent Parsing with a Non-Binary, Bottom-Up Strategy
Daniel Fernández-González, Carlos Gómez-Rodríguez
An increasingly wide range of artificial intelligence applications rely on syntactic information to process and extract meaning from natural language text or speech, with constitue…
Non-Projective Dependency Parsing with Non-Local Transitions
Daniel Fernández-González, Carlos Gómez-Rodríguez
We present a novel transition system, based on the Covington non-projective parser, introducing non-local transitions that can directly create arcs involving nodes to the left of t…
A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing
Daniel Fernández-González, Carlos Gómez-Rodríguez
Restricted non-monotonicity has been shown beneficial for the projective arc-eager dependency parser in previous research, as posterior decisions can repair mistakes made in previo…
Parsing as Reduction
Daniel Fernández-González, André F. T. Martins
We reduce phrase-representation parsing to dependency parsing. Our reduction is grounded on a new intermediate representation, "head-ordered dependency trees", shown to be isomorph…