For meaning representations in NLP, we focus our attention on thematic aspects and conceptual vectors. The learning strategy of conceptual vectors relies on a morphosyntaxic analy...
Didier Schwab, Mathieu Lafourcade, Violaine Prince
This paper proposes a learning and extracting method of word sequence correspondences from non-aligned parallel corpora with Support Vector Machines, which have high ability of th...
We report about the current state of development of a document suite and its applications. This collection of tools for the flexible and robust processing of documents in German i...
In this paper we investigate the task of automatically identifying the correct argument structure for a set of verbs. The argument structure of a verb allows us to predict the rel...
This paper investigates methods to automatically infer structural information from large XML documents. Using XML as a reference format, we approach the schema generation problem ...
Information extraction (IE) systems are costly to build because they require development texts, parsing tools, and specialized dictionaries for each application domain and each na...
It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze th...
Parsli is a finite-state (FS) parser which can be tailored to the lexicon, syntax, and semantics of a particular application using a hand-editable declarative lexicon. The lexicon...
We discuss a grammar development process used to generate the trees of the wide-coverage Lexicalized Tree Adjoining Grammar (LTAG) for English of the XTAG Project. Result of the c...