Maria Das Gracas Volpe Nunes

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In this article we address the usefulness of linguistic-independent methods in extractive Automatic Summarization, arguing that linguistic knowledge is not only useful, but may be necessary to improve the informativeness of automatic extracts. An assessment of four diverse AS methods on Brazilian Portuguese texts is presented to support our claim. One of(More)
In this paper we describe LIHLA, a lexical aligner which uses bilingual probabilistic lexicons generated by a freely available set of tools (NATools) and languageindependent heuristics to find links between single words and multiword units in sentence-aligned parallel texts. The method has achieved an alignment error rate of 22.72% and 44.49% on English–(More)
Although it is generally agreed that Word Sense Disambiguation (WSD) is an application dependent task, the great majority of the efforts has aimed at the development of WSD systems without considering their application. We argue that this strategy is not appropriate, since some aspects, such as the sense repository and the disambiguation process itself,(More)
In this paper, we describe the Universal Networking Language, an interlingua to be plugged in a Web environment aiming at allowing for many-to-many information exchange, 'many' here referring to many natural languages. The interlingua is embedded in a Knowledge-Base MT system whose languagedependent modules comprise an encoder, a decoder, and linguistic(More)
In spite of its potential for bidirectionality, Extensible Dependency Grammar (XDG) has so far been used almost exclusively for parsing. This paper represents one of the first steps towards an XDG-based integrated generation architecture by tackling what is arguably the most basic among generation tasks: lexicalization. Herein we present a constraint-based(More)
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