Titlebook: Argumentation Mining; Manfred Stede,Jodi Schneider Book 2019 Springer Nature Switzerland AG 2019

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Personality Facets Recognition from Textargumentation mining in Section 1.2, followed by an outline of reasons for studying automatic argumentation mining in Section 1.3. We finish the chapter by explaining the structure of the book in Section 1.4.

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隱藏

Mahsa S. Shahshahani,Jaap Kampsies in left-wing vs. right-wing newspapers, the editorials ideally need to be mapped to a complete constellation of statements, their argumentative relationships, and the reasoning patterns underlying those relationships.

CT-angiography

essential-fats

Lecture Notes in Computer Sciences a number of downstream applications—most of which have been mentioned already in previous chapters, but here they are collected. Notice that this is not intended as comprehensive survey; we merely provide some indicative pointers to the literature as food for thought. We close with a short outlook in Section 10.4.

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Summary and Perspectives,s a number of downstream applications—most of which have been mentioned already in previous chapters, but here they are collected. Notice that this is not intended as comprehensive survey; we merely provide some indicative pointers to the literature as food for thought. We close with a short outlook in Section 10.4.

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跳動

Corpus Annotation,tions of some corpora that have been made freely available to the research community (Section 4.2). There is some overlap, as several of these corpora use schemes we describe in Section 4.1, but for most corpora there are separate, purpose-specific schemes being used.

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Assessing Argumentation,rlying reasoning pattern or . (cf. Section 3.3), which explains why (or not) a particular constellation of inferences works. Finally, we discuss work on the . of arguments, which encompasses both measuring how ‘good’ an argument is, as well as a set of various other attributes that researchers have drawn attention to.