Titlebook: Computational Processing of the Portuguese Language; 7th International Wo Renata Vieira,Paulo Quaresma,Maria Carmelita Dias Conference proc

干旱

https://doi.org/10.1007/978-3-8349-6000-9rom corpora, writing synset concept glosses, and encoding both language-independent conceptual-semantic relations and cross-lingual conceptual-semantic relations between WordNet.Br and Princeton WordNet.

DEMN

Generalize

REPENTINO – A Wide-Scope Gazetteer for Entity Recognition in Portugueseluded in traditional gazetteers. We will present some figures regarding the current content of the gazetteer and describe future work regarding the evaluation of this resource and its enrichment with additional information.

斷斷續(xù)續(xù)

Using Natural Alignment to Extract Translation Equivalents separated by “natural boundaries”. The results obtained using this method are very close to those obtained using sentence alignment. Some experiments were performed on English-Portuguese and English-Spanish parallel texts.

飲料

FLIT

SIEMêS – A Named-Entity Recognizer for Portuguese Relying on Similarity Ruleslain SIEMêS architecture and its named-entity identification and classification procedure. We also briefly discuss the results of the participation of SIEMêS in HAREM, the named-entity evaluation contest for Portuguese, and describe future work.

貝雷帽

FER

nonradioactive

Adaptation of Data and Models for Probabilistic Parsing of Portuguese for training the parser. Our best configuration achieves 80.6% dependency accuracy on unseen test material, well above adjacency baselines and on par with previous results for unlabeled dependencies.

虛弱