This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety of morphosyntactic features plus semantic roles features is developed and evaluated. Our system achieves an F1 of 81.4% in recognition and a 64.2% in classification. We demonstrate that the application of semantic rol...

Task-modality has been found to constrain the production of LREs in adults and children. However, there are no studies with young learners that have offered a comprehensive analysis LREs. To this end, paper will examine effect task-modality on features targeted them, as well their level engagement/elaboration during primary-school learners’ performance task containing both an oral written compo...

We present the first open-source tool for annotating morphosyntactic tense, mood and voice for English, French and German verbal complexes. The annotation is based on a set of language-specific rules, which are applied on dependency trees and leverage information about lemmas, morphological properties and POS-tags of the verbs. Our tool has an average accuracy of about 76%. The tense, mood and ...

We present an enriched version of the Penn Arabic Treebank (Maamouri et al., 2004), where latent features necessary for modeling morpho-syntactic agreement in Arabic are manually annotated. We describe our process for efficient annotation, and present the first quantitative analysis of Arabic morphosyntactic phenomena.

A reasonably simple, domain-independent, large-scale approach of lexictd semantics to paraphrase recognition is presented in this paper. It relies on the enrichment of morphosyntactic rules and the addition of fbur boolean syntactico-semantic features to a set of 1.,(}23 words. It results in a significant enhancement of precision of 30% with a slight decrease in recall of 10%.

The production of phonological features of African American English (AAE) was examined for 64 typically developing African American children in the 2nd through the 5th grade. Students read aloud passages written in Standard American English. Sixty of the students read the passages using AAE, and 8 different phonological features were represented in their readings. Phonological features were mor...

We investigate the question whether an explicit feature representation for morphological features is necessary when parsing German with a fully lexicalized, statistical dependency parser. We use two morphosyntactic phenomena of German to show that while lexicalization does indeed suffice to a large extent when recovering the internal structure of noun phrases, an accurate explicit representatio...

In this paper, we present the methodology developed by the SLI (Computational Linguistics Group of the University of Vigo) for the building and processing of the CLUVI Corpus, showing the TMX-based XML specification designed to encode both morphosyntactic features and translation alignments in parallel corpora, and the solutions adopted for making the CLUVI parallel corpora freely available ove...

This thesis is focused on temporal information processing, which is a task framed in the field of natural language processing. The aim of this task is to obtain the temporal location and ordering of the events expressed in text or discourse, which requires the automatic interpretation of temporal expressions, events, and the temporal relations between them. The majority of current approaches ar...