Titlebook: Indigenous Australia and the Unfinished Business of Theology; Cross-Cultural Engag Jione Havea Book 2014 Palgrave Macmillan, a division of

惊呼

John Francis Fitz-Herbertaracterize specific-domains vocabularies. Translating multiword expressions is a challenge for current Statistical Machine Translation (SMT) systems because corpus-based approaches are effective only when large amounts of parallel corpora are available. However, parallel corpora are only available f

单独

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ADORE

William W. Emilsenional similarity is important for various natural language processing tasks such as, relational search, noun-modifier classification, and analogy detection. Despite this need, the features that accurately express the relational similarity between two word pairs remain largely unknown. So far, method

栏杆

Stephen Burnsional similarity is important for various natural language processing tasks such as, relational search, noun-modifier classification, and analogy detection. Despite this need, the features that accurately express the relational similarity between two word pairs remain largely unknown. So far, method

恶臭

Jonathan Y. Tanaracterize specific-domains vocabularies. Translating multiword expressions is a challenge for current Statistical Machine Translation (SMT) systems because corpus-based approaches are effective only when large amounts of parallel corpora are available. However, parallel corpora are only available f

Inflammation

L. Lee Levett-Olsonss work is done using semantically relevant features between entities because semantic information is difficult to identify without manual annotation. In this paper, we present a work for relation extraction using semantic information as we believe that semantic information is the most relevant and

hematuria

Sang Taek Leeng to be applied to diverse texts, there arise high demands for the NER for new named entity (NE) definition in different domains. For these special NE definitions, only a small annotated corpus is available in the beginning, and a rapid and low-cost development of an NER is needed in practice. To s

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Vertebra

ng to be applied to diverse texts, there arise high demands for the NER for new named entity (NE) definition in different domains. For these special NE definitions, only a small annotated corpus is available in the beginning, and a rapid and low-cost development of an NER is needed in practice. To s