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Shallow discourse parsing for German

Autor*in: Bourgonje, Peter

Erschienen: 2021

Verlag: Universität Potsdam, Potsdam

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Quelle:	Verbundkataloge
Beteiligt:	Stede, Manfred (Akademischer Betreuer)
Sprache:	Englisch
Medientyp:	Dissertation
Format:	Online
Weitere Identifier:	doi: 10.25932/publishup-50663 urn: urn:nbn:de:kobv:517-opus4-506632
Weitere Schlagworte:	discourse parsing; connectives; data annotation; NLP pipelines; text structure; Shallow Discourse Parsing; end-to-end discourse parsing; Diskurs-parsing; Konnektoren; Daten-annotation; Textstruktur; end-to-end diskurs-parsing
Umfang:	Online-Ressource
Bemerkung(en):	Dissertation, Potsdam, Universität Potsdam, 2021

Shallow discourse parsing for German

Autor*in: Bourgonje, Peter

Erschienen: 2021

While the last few decades have seen impressive improvements in several areas in Natural Language Processing, asking a computer to make sense of the discourse of utterances in a text remains challenging. There are several different theories that aim... mehr

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Potsdam: Universität Potsdam, Universitätsbibliothek

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Universität Potsdam, Universitätsbibliothek

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While the last few decades have seen impressive improvements in several areas in Natural Language Processing, asking a computer to make sense of the discourse of utterances in a text remains challenging. There are several different theories that aim to describe and analyse the coherent structure that a well-written text inhibits. These theories have varying degrees of applicability and feasibility for practical use. Presumably the most data-driven of these theories is the paradigm that comes with the Penn Discourse TreeBank, a corpus annotated for discourse relations containing over 1 million words. Any language other than English however, can be considered a low-resource language when it comes to discourse processing. This dissertation is about shallow discourse parsing (discourse parsing following the paradigm of the Penn Discourse TreeBank) for German. The limited availability of annotated data for German means the potential of modern, deep-learning based methods relying on such data is also limited. This dissertation explores ...

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Quelle:	Verbundkataloge
Beteiligt:	Stede, Manfred (AkademischeR BetreuerIn); Kosseim, Leila (AkademischeR BetreuerIn)
Sprache:	Englisch
Medientyp:	Dissertation
Format:	Online
Weitere Identifier:	urn: urn:nbn:de:kobv:517-opus4-506632 doi: 10.25932/publishup-50663
Umfang:	1 Online-Ressource (vii, 140 Blätter, 5625 KB), Illustrationen, Diagramme
Bemerkung(en):	Dissertation, Universität Potsdam, 2021

Shallow discourse parsing for German

Autor*in: Bourgonje, Peter

Erschienen: 2021

Verlag: Universität Potsdam, Potsdam

Zugang:

Resolving-System

Verlag (kostenfrei)