Building shallow semantic representations from text corpora is the first step to perform more
complex tasks such as text entailment, enrichment of knowledge bases, or question …

Abstract Open Information Extraction (OIE) is a recent unsupervised strategy to extract great
amounts of basic propositions (verb-based triples) from massive text corpora which scales to …

This paper presents LinguaKit, a multilingual suite of tools for analysis, extraction,
annotation and linguistic correction, as well as its integration into a Big Data infrastructure …

In this article, we introduce an explicit count-based strategy to build word space models with
syntactic contexts (dependencies). A filtering method is defined to reduce explicit word …

In language learning, getting corrective feedback for writing tasks is an essential didactical
concept to improve learners' language skills. Although various tools for automatic correction …

This article proposes a syntactic parsing strategy based on a dependency grammar
containing formal rules and a compression technique that reduces the complexity of those …

Abstract The World Wide Web has a considerable amount of information expressed using
natural language. While unstructured text is often difficult for machines to understand, Open …

We address two challenges for automatic machine translation evaluation: a) avoiding the
use of reference translations, and b) focusing on adequacy estimation. From an economic …

This article proposes a syntactic parsing strategy based on a dependency grammar
containing both formal rules and a compression technique that reduces the complexity of …

This work presents a coreference resolution system of person entities based on a multi-pass
architecture which sequentially applies a set of independent modules, using an entity-centric …