This paper studies the performance of different parsers over a large Spanish treebank. The aim of this work is to assess the limitations of state-of-the-art parsers. We want to select the most appropriate parser for subcategorization Frame acquisition, and we focus our analysis on two aspects: the accuracy drop when parsing out-of-domain data, and the performance over specific labels relevant to our task.HM has been partially funded by the European Commission’s 7th Frame- work Program under grant agreement 238405 (CLARA). MP has been funded by the European Project PANACEA (FP7-ICT-2010- 248064)
This article presents an ensemble parse approach to detecting and selecting high-quality linguistic ...
This paper presents the development of an open-source Spanish Dependency Grammar implemented in Free...
In this paper, we argue that in current Universal Dependencies treebanks, the annotation of Spanish ...
International audienceStatistical parsers are trained on treebanks that are composed of a few thousa...
As the interest of the NLP community grows to develop several treebanks also for languages other tha...
The growing work in multi-lingual parsing faces the challenge of fair comparative evaluation and per...
In the last decade, many accurate dependency parsers have been made publicly available. It can be di...
We describe a parser used in the CoNLL 2006 Shared Task, “Multingual Depen-dency Parsing. ” The pars...
This web service performs dependency parsing in Spanish using a Malt Parser instance. It parses plai...
En este artículo presentamos los resultados de nuestros experimentos en producción automática de léx...
Each year the Conference on Com-putational Natural Language Learning (CoNLL)1 features a shared task...
The present article describes the conversion of the Catalan and Spanish AnCora treebanks to the Univ...
We present a simple and effective semisupervised method for training dependency parsers. We focus on...
We present a study that compares data-driven dependency parsers obtained by means of annotation proj...
The aim of this thesis is to improve Natural Language Dependency Parsing. We employ a linear Shift R...
This article presents an ensemble parse approach to detecting and selecting high-quality linguistic ...
This paper presents the development of an open-source Spanish Dependency Grammar implemented in Free...
In this paper, we argue that in current Universal Dependencies treebanks, the annotation of Spanish ...
International audienceStatistical parsers are trained on treebanks that are composed of a few thousa...
As the interest of the NLP community grows to develop several treebanks also for languages other tha...
The growing work in multi-lingual parsing faces the challenge of fair comparative evaluation and per...
In the last decade, many accurate dependency parsers have been made publicly available. It can be di...
We describe a parser used in the CoNLL 2006 Shared Task, “Multingual Depen-dency Parsing. ” The pars...
This web service performs dependency parsing in Spanish using a Malt Parser instance. It parses plai...
En este artículo presentamos los resultados de nuestros experimentos en producción automática de léx...
Each year the Conference on Com-putational Natural Language Learning (CoNLL)1 features a shared task...
The present article describes the conversion of the Catalan and Spanish AnCora treebanks to the Univ...
We present a simple and effective semisupervised method for training dependency parsers. We focus on...
We present a study that compares data-driven dependency parsers obtained by means of annotation proj...
The aim of this thesis is to improve Natural Language Dependency Parsing. We employ a linear Shift R...
This article presents an ensemble parse approach to detecting and selecting high-quality linguistic ...
This paper presents the development of an open-source Spanish Dependency Grammar implemented in Free...
In this paper, we argue that in current Universal Dependencies treebanks, the annotation of Spanish ...