Tools

LEADER 03762cam a22005297i 4500

001 ssj0003451898;

003 WaSeSS;

005 20260712090213.0;

006 m d ;

007 cr n ;

008 220419s2021 ne sb 000 0 eng d;

010 a| 2021444223;

020 a| 9783898387637q| (AKA, print);

020 a| 9781643681924q| (IOS Press,print);

020 a| 9781643681931q| (IOS Press, online);

035 a| (WaSeSS)ssj0003451898;

049 a| EREEa| NEHH;

050 00 a| MLCM 2026/01025 (P);

100 1 a| Bourgonje, Peter.?| UNAUTHORIZED;

245 10 a| Shallow discourse parsing for Germanh| [electronic resource] /c| Peter Bourgonje, Universitat Potsdam.;

260 a| Amsterdam, The Netherlands :b| IOS Press;

260 a| Berlin :b| Akademische Verlagsgesellschaft AKA,c| [2021];

300 a| xix, 165 pages :b| illustrations ;c| 24 cm.;

334 a| single unitb| mono0| http://id.loc.gov/vocabulary/issuance/mono;

490 0 a| Dissertations in artificial intelligence ;v| volume 351;

500 a| Minimal Level Cataloging Plus.5| DLC;

504 a| Includes bibliographical references (pages 147-165).;

506 a| Available only to authorized users.;

520 a| 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.;

538 a| Mode of access: World Wide Web;

650 0 a| Natural language processing (Computer science)0| http://id.loc.gov/authorities/subjects/sh88002425=| ^A235570;

650 0 a| German languagex| Data processing0| http://id.loc.gov/authorities/subjects/sh2008118052=| ^A206922;

655 0 a| Electronic books.=| ^A491897;

758 1| http://id.loc.gov/resources/instances/22514206;

758 4| http://id.loc.gov/ontologies/bibframe/instanceOf1| http://id.loc.gov/resources/works/22514206;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3069419&scope=site&custid=s5822723&authtype=ip,shib;

856 40 z| Full text available from Sage IOS Press Booksu| http://www.booksonline.iospress.nl/extern/enterbookseriesbook.aspx?ISBN=978-1-64368-193-1;

884 a| DLC bibframe2marc v3.1-devg| 20260212q| DLCu| https://github.com/lcnetdev/bibframe2marc/tree/v3.1-dev;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 6711735;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6711735-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 3/13/2026x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6711735-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 3/13/2026x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6711735-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 3/13/2026x| EBOOKz| JERESOURCE;

Shallow discourse parsing for German / Peter Bourgonje, Universitat Potsdam.

Author/creator	Bourgonje, Peter
Format	Electronic
Publication Info	Amsterdam, The Netherlands : IOS Press
Publication Info	Berlin : Akademische Verlagsgesellschaft AKA, [2021]
Description	xix, 165 pages : illustrations ; 24 cm.
Supplemental Content	Full text available from eBooks on EBSCOhost
Supplemental Content	Full text available from Sage IOS Press Books
Subjects	Natural language processing (Computer science) German language--Data processing.

Series	Dissertations in artificial intelligence ; volume 351
Abstract	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.
General note	Minimal Level Cataloging Plus.
Bibliography note	Includes bibliographical references (pages 147-165).
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021444223
ISBN	9783898387637 (AKA, print)
ISBN	9781643681924 (IOS Press,print)
ISBN	9781643681931 (IOS Press, online)

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Online Content Full text available from eBooks on EBSCOhost Full text available from Sage IOS Press Books	✔ Available

Shallow discourse parsing for German / Peter Bourgonje, Universitat Potsdam.

Click here for more information about this title

Availability