Titlebook: Lehrbuch der Gesteins- und Bodenkunde; Für Land- und Forstw Ferdinand Senft Textbook 1877 Springer-Verlag Berlin Heidelberg 1877 Boden.Bode

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, short text NER etc. In this paper, we study the problem of Chinese governmental NER (CGNER). CGNER serves as the basis for automatic governmental text analysis, which can greatly benefit the public. Considering the characteristics of the governmental text, we first formulate the task of CGNER, add

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Ferdinand Senftmal performance since the current search engine promotes the results covering every query term, but not the truly important ones. Key term extraction has been studied to solve this problem, but another problem, i.e., vocabulary gap between query and documents, need to be discussed. Although various

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Ferdinand Senfttation focused methods usually focus on learning the representation of each sentence, while interaction focused methods typically aim to obtain the representations of different interaction signals. However, both sentence level representations and interaction signals are important for the complex sem

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Ferdinand Senft. In particular, this way of interaction was emphasised in contrast with traditional information retrieval systems based on formal query languages. Unfortunately, the limitations of the browsing paradigm were soon realised when approaching real and large hypermedia applications and thus the well-kno

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. In particular, this way of interaction was emphasised in contrast with traditional information retrieval systems based on formal query languages. Unfortunately, the limitations of the browsing paradigm were soon realised when approaching real and large hypermedia applications and thus the well-kno

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Teaching the Four Language Skills: Themes and Issues,ur language skills of listening, speaking, reading and writing. This chapter highlights the importance of contextually based teaching practices and innovations at the local level as well as the increasing incorporation of bottom-up and metacognitive abilities as they apply to the four skills.