3 research outputs found

    Increasing information accessibility on the Web: a rating system for specialized dictionaries

    Get PDF
    The paper illustrates the features of the WLR (Web Linguistic Resources) portal, which collects specialized online dictionaries and asses their suitability for different functions using a specifically designed rating system. The contribution aims to demonstrate how the existing tool has improved the usefulness of lexico-graphical portals and how its effectiveness can be further increased by transforming the portal into a collaborative resource.Questo contributo descrive le caratteristiche del portale WLR (Web Linguistic Resources) che raccoglie dizionari specialistici della Rete e ne stima l’utilizzabilità per diverse funzioni, avvalendosi di uno specifico sistema di valutazione. Viene quindi mostrato come questo strumento incrementi l’utilizzabilità dei portali lessicografici finora sviluppati e come la sua efficacia possa essere ulteriormente migliorata trasformandolo in risorsa collaborativa

    Designing a Methodology for Semantic Type Tagging of Argument Positions

    Get PDF
    A verb argument position can be described by the semantic type that characterizes the words filling that position. We investigate a number of linguistic issues underlying the tagging of an Italian corpus with the semantic types provided by the T-PAS (Typed Predicate-Argument Structure) resource. Our main interest is to evaluate whether our annotation methodology can be employed effectively for the extension of the annotation of the corpus associated with the resource. In order to achieve this goal we compare quantitative data about the tagging and qualitative data derived from the Inter-Annotator Agreement

    Grounding the Lexical Sets of Causative-Inchoative Verbs with Word Embedding

    No full text
    Abstract English. Lexical sets contain the words filling the argument positions of a verb in one of its senses. They can be extracted from corpora automatically. The purpose of this paper is demonstrating that their vector representation based on word embedding provides insights onto many linguistic phenomena, such as causativeinchoative verbs. A first experiment aims at investigating the internal structure of the sets, which are known to be radial and continuous categories cognitively. A second experiment shows that the distance between the intransitive subject set and transitive object set is correlated with the spontaneity of the event expressed by the verb, defined according to morphological coding and frequency. Italiano. I set lessicali contengono le parole che occupano le posizioni argomentali di un verbo in una delle sue accezioni, e possono essere estratti in modo automatico dai corpora. L'obiettivo di questo articolo è dimostrare che la loro rappresentazione vettoriale illumina alcuni fenomeni linguistici, come i verbi ad alternanza causativo-incoativa. Un esperimento investiga la struttura interna degli insiemi, che a livello cognitivo sono ritenuti categorie radiali e continue. Inoltre, un secondo esperimento mostra che la distanza fra l'insieme dei soggetti intransitivi e l'insieme degli oggetti transitivi è correlata alla spontaneità dell'evento espresso dal verbo, definita secondo la marca morfologica e la frequenza
    corecore