This document describes the current state of Onto.PT, a new large wordnet for Portuguese, freely available, and created automatically after exploiting and integrating existing lexical resources in a wordnet structure. Besides an overview on Onto.PT, its creation and evaluation, we enumerate the developments of version 0.6. Moreover, we provide a quantitative view on this version, its comparison...

The acquisition of knowledge from text is an incomplete and incremental process. When anchored to a particular knowledge model it provides potentially useful information to the legal expert in the form of new concepts and relations, in order to improve the domain coverage. This paper explores the feasibility of various legal text-based ontology enrichment techniques, and discusses the transform...

This paper presents two simple experiments performed in order to enlarge the coverage of PULO, a Lexical Ontology, based and aligned with the Princeton WordNet. The first experiment explores the triangulation of the Galician, Catalan and Castillian wordnets, with translation dictionaries from the Apertium project. The second, explores Dicionário-Aberto entries, in order to extract synsets from ...

Noticing that different information sources often provide complementary coverage of word sense and meaning, we propose a simple and yet effective strategy for measuring lexical semantics. Our model consists of a committee of vector space models built on a text corpus, Web search results and thesauruses, and measures the semantic word relatedness using the averaged cosine similarity scores. Desp...

We present the implementation of a system which extracts not only lexicalized grammars but also feature-based lexicalized grammars from Korean Sejong Treebank. We report on some practical experiments where we extract TAG grammars and tree schemata. Above all, full-scale syntactic tags and well-formed morphological analysis in Sejong Treebank allow us to extract syntactic features. In addition, ...

We present a multilingual joint approach to Word Sense Disambiguation (WSD). Our method exploits BabelNet, a very large multilingual knowledge base, to perform graphbased WSD across different languages, and brings together empirical evidence from these languages using ensemble methods. The results show that, thanks to complementing wide-coverage multilingual lexical knowledge with robust graph-...

VerbNet is an English lexical resource for verbs that has proven useful for English NLP due to its high coverage and coherent classification. Such a resource doesn’t exist for other languages, despite some (mostly automatic and unsupervised) attempts. We show how to semi-automatically adapt VerbNet using existing resources designed for different purposes. This study focuses on French and uses t...

This paper presents a mechanism of new word identification in Chinese text where probabilities are used to filter candidate character strings and to assign POS to the selected strings in a ruled-based system. This mechanism avoids the sparse data problem of pure statistical approaches and the over-generation problem of rule-based approaches. It improves parser coverage and provides a tool for t...

PanLex is a lemmatic translation resource which combines a large number of translation dictionaries and other translingual lexical resources. It currently covers 1353 language varieties and 12M expressions, but aims to cover all languages and up to 350M expressions. This paper describes the resource and current applications of it, as well as lextract, a new effort to expand the coverage of PanL...

A weakly-supervised method is applied to anonymized queries to extract lexical interpretations of compound noun phrases (e.g., “fortune 500 companies”). The interpretations explain the subsuming role (“listed in”) that modifiers (fortune 500) play relative to heads (companies) within the noun phrases. Experimental results over evaluation sets of noun phrases from multiple sources demonstrate th...