The present most recent final word about labels in MARY

Word representations, aiming to build vectors for each word, have been successfully used in a variety of applications. Most word representations are learned from large amounts of documents ignoring other information. This is rather suboptimal because ...

Statistical bilingual word alignment has been well studied in the field of machine translation. This article adapts the bilingual word alignment algorithm into a monolingual scenario to extract collocations from monolingual corpus, based on the fact ...

In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are represented as a set of possible labels for each training example, one of ...