TY  - GEN
A1  - Afantenos, Stergos
A1  - Peldszus, Andreas
A1  - Stede, Manfred
T1  - Comparing decoding mechanisms for parsing argumentative structures
T2  - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
N2  - Parsing of argumentative structures has become a very active line of research in recent years. Like discourse parsing or any other natural language task that requires prediction of linguistic structures, most approaches choose to learn a local model and then perform global decoding over the local probability distributions, often imposing constraints that are specific to the task at hand. Specifically for argumentation parsing, two decoding approaches have been recently proposed: Minimum Spanning Trees (MST) and Integer Linear Programming (ILP), following similar trends in discourse parsing. In contrast to discourse parsing though, where trees are not always used as underlying annotation schemes, argumentation structures so far have always been represented with trees. Using the 'argumentative microtext corpus' [in: Argumentation and Reasoned Action: Proceedings of the 1st European Conference on Argumentation, Lisbon 2015 / Vol. 2, College Publications, London, 2016, pp. 801-815] as underlying data and replicating three different decoding mechanisms, in this paper we propose a novel ILP decoder and an extension to our earlier MST work, and then thoroughly compare the approaches. The result is that our new decoder outperforms related work in important respects, and that in general, ILP and MST yield very similar performance.
T3  - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1062 
KW  - argumentation structure
KW  - argument mining
KW  - parsing
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-470527
SN  - 1866-8372
IS  - 1062
ER  - 
TY  - JOUR
A1  - Afantenos, Stergos
A1  - Peldszus, Andreas
A1  - Stede, Manfred
T1  - Comparing decoding mechanisms for parsing argumentative structures
JF  - Argument & Computation
N2  - Parsing of argumentative structures has become a very active line of research in recent years. Like discourse parsing or any other natural language task that requires prediction of linguistic structures, most approaches choose to learn a local model and then perform global decoding over the local probability distributions, often imposing constraints that are specific to the task at hand. Specifically for argumentation parsing, two decoding approaches have been recently proposed: Minimum Spanning Trees (MST) and Integer Linear Programming (ILP), following similar trends in discourse parsing. In contrast to discourse parsing though, where trees are not always used as underlying annotation schemes, argumentation structures so far have always been represented with trees. Using the ‘argumentative microtext corpus’ [in: Argumentation and Reasoned Action: Proceedings of the 1st European Conference on Argumentation, Lisbon 2015 / Vol. 2, College Publications, London, 2016, pp. 801–815] as underlying data and replicating three different decoding mechanisms, in this paper we propose a novel ILP decoder and an extension to our earlier MST work, and then thoroughly compare the approaches. The result is that our new decoder outperforms related work in important respects, and that in general, ILP and MST yield very similar performance.
KW  - Argumentation structure
KW  - argument mining
KW  - parsing
Y1  - 2018
U6  - https://doi.org/10.3233/AAC-180033
SN  - 1946-2166
SN  - 1946-2174
VL  - 9
IS  - 3
SP  - 177
EP  - 192
PB  - IOS Press
CY  - Amsterdam
ER  - 
TY  - GEN
A1  - Saint-Dizier, Patrick
A1  - Stede, Manfred
T1  - Foundations of the language of argumentation
T2  - Argument & computation
Y1  - 2017
U6  - https://doi.org/10.3233/AAC-170018
SN  - 1946-2166
SN  - 1946-2174
VL  - 8
IS  - 2 Special issue
SP  - 91
EP  - 93
PB  - IOS Press
CY  - Amsterdam
ER  - 
TY  - JOUR
A1  - Stede, Manfred
T1  - From connectives to coherence relations
BT  - a case study of German contrastrive connectives
JF  - Revue roumaine de linguistique : RRL = Romanian review of linguistics
N2  - The notion of coherence relations is quite widely accepted in general, but concrete proposals differ considerably on the questions of how they should be motivated, which relations are to be assumed, and how they should be defined. This paper takes a "bottom-up" perspective by assessing the contribution made by linguistic signals (connectives), using insights from the relevant literature as well as verification by practical text annotation. We work primarily with the German language here and focus on the realm of contrast. Thus, we suggest a new inventory of contrastive connective functions and discuss their relationship to contrastive coherence relations that have been proposed in earlier work.
KW  - coherence relation
KW  - connective
KW  - contrast
KW  - concession
KW  - corpus analysis
Y1  - 2020
SN  - 0035-3957
VL  - 65
IS  - 3
SP  - 213
EP  - 233
PB  - Ed. Academiei Române
CY  - Bucureşti
ER  -