Comparing Arguments in Discussions of Two Parliaments
Mare Koit
a
Institute of Computer Science, University of Tartu, Narva mnt 18, Tartu, Estonia
Keywords: Argument, Parliament, Comparison, Argument Structure, Inter-argument Relations, Annotated Corpus.
Abstract: Estonian argument corpus includes verbatim records (in Estonian) of sessions held in the Parliament of
Estonia (Riigikogu). Arguments used in discussions and inter-argument relations are annotated in the corpus.
By using the corpus, argument structures (basic, convergent, divergent, linked, and hybrid) and inter-argument
relations (rebuttal, attack, and support) are studied. For comparison, a discussion in the UK Parliament House
of Commons is analysed. Similarities and differences are considered between arguments of both parliaments.
Our further aim is extending the corpus in order to make it possible the automatic recognition of arguments
in Estonian political texts and comparison of discussions in the Riigikogu with other parliaments and other
languages.
1 INTRODUCTION
Verbatim records of sittings of many parliaments can
be accessed online. The CLARIN ERIC infrastructure
offers access to 27 parliamentary corpora
(Parliamentary corpora, 2022). The first stage of the
ParlaMint project has produced freely available
comparable and interoperable corpora of 17 European
parliaments with almost half a billion words
(ParlaMint, 2022). The corpora are uniformly
encoded, structured and supplied with metadata about
11 thousand speakers, and are linguistically annotated
following the Universal Dependencies formalism and
with named entities. The corpora have already been
used in several studies, incl. the 2021 Helsinki Digital
Humanities Hackathon (Erjavec et al., 2022). There,
the research questions focused on the identification of
differences and similarities in parliamentary debates
on the COVID pandemic in four countries (Calabretta
et al., 2021).
The parliamentary data allows compare
proceeding on bills in different parliaments and can
be used for linguistic, political, sociological,
historical etc. research. Discussions in parliaments
include numerous arguments.
Therefore, in the first part of the paper, we analyse
discussions on motions in the Parliament of Estonia
(Riigikogu) by using an annotated argument corpus.
The corpus currently includes a part of verbatim
a
https://orcid.org/0000-0002-7318-087X
records (in Estonian) of sittings in the Riigikogu (cf.
Riigikogu, 2022). In the corpus, argument
components (premises and claims) and inter-
argument relations (rebuttal, attack, and support) are
annotated. The first attempt to analyze and model the
formal structure and relations of arguments in
Estonian political discourse is made in (Koit, 2020).
The current paper considers the arguments presented
by the Members of the Parliament (MPs) when
passing an act. In the second part of the paper, we
compare our parliamentary discussions with the UK
Parliament House of Commons. The aim is to
demonstrate how the annotated corpora can be used
for the analysis and comparison of parliamentary
discussions.
The remainder of the paper is structured as
follows. Section 2 describes related work. In Section
3, we examine a discussion in the Riigikogu by using
the annotated argument corpus. We consider the
arguments presented by the MPs the structure of
arguments and do they support or attack the bill or its
amendments. In Section 4, we consider a discussion
in the UK Parliament in order to compare the
structure of arguments and inter-argument relations
with the Riigikogu. In Section 5, we discuss the
similarities and differences between the arguments in
both parliaments. Section 6 draws conclusions and
figures out future work. Our further aim is to make it
possible to automatically analyze Estonian
156
Koit, M.
Comparing Arguments in Discussions of Two Parliaments.
DOI: 10.5220/0011539400003335
In Proceedings of the 14th Inter national Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD, pages 156-164
ISBN: 978-989-758-614-9; ISSN: 2184-3228
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
parliamentary discourse and compare it with other
parliaments.
2 RELATED WORK
Argumentation in political discussions is studied in
many works (Bara et al., 2007; Stab and Gurevych,
2014; Naderi and Hirst, 2015; Petukhova et al., 2015;
Atkinson et al., 2015).
Amgoud et al. (2015) propose a formal language
for representing arguments occurring in natural
language, and demonstrate that it is possible to
represent rebut, attack and support relations between
arguments as formulas of the same language.
Lippi and Torroni (2016) study whether vocal
features of speech can improve the automatic
extraction of arguments from text. They develop a
machine learning classifier and train it on an original
dataset based on the 2015 UK political elections
debate.
Stab and Gurevych (2017) introduce a corpus of
402 persuasive essays annotated with discourse-level
argumentation structures. Three annotators
independently annotated a random subset of 80
essays. The remaining essays were annotated by the
expert annotator. The annotation scheme models the
argumentation structure of a document as a connected
tree.
Petukhova et al. (2018) describe the Metalogue
Debate Trainee Corpus. A debate is a communication
process in which participants argue for or against a
certain position proposed for the dispute. In the
training scenario, each debate session is motivated by
a motion new law proposal or changes to an existing
law. The actual debate training session starts by the
Proponent presenting the motion and an argument in
favor of it. An argument is defined as consisting of a
statement that can be supported by evidence. A
statement (claim) is an assertion that deserves
attention. There may be a conclusion which presents
a result, which can be derived from certain evidence
(premises). The task of the Opponent is to attack the
proponent’s argument. Both trainees can be in the role
of either a proponent or opponent.
Haddadan et al. (2018) present the annotation
guidelines for annotating arguments in political
debates. The dataset is taken from the U.S.
Commission on Presidential Debates website.
Menini et al. (2018) apply argumentation mining
techniques, to study political speeches where there is
no direct interaction between opponents. They use a
tool called OVA+ (Janier et al., 2014), an on-line
interface for the manual analysis of natural language
arguments.
Stab and Gurevych (2017) and Lawrence and
Reed (2019) consider argument diagramming which
aims at transferring natural language arguments into
a structured representation. An argument diagram
(argument structure) is a node-link diagram whereby
each node represents an argument component (i.e., a
statement of natural language) and each link
represents a directed argumentative relation
indicating that the source component is a justification
of the target component. There are different types of
argument diagrams (Stab and Gurevych, 2017:626).
A basic argument, the minimal form of an argument,
includes a claim supported by a single premise. In a
linked argument, multiple premises work together to
support a conclusion, each premise requires the others
in order to work fully. In a convergent argument,
multiple premises are used to independently support
a single conclusion. In a divergent argument, the
same premise supports multiple conclusions. In a
sequential (serial) argument, one premise leads to
another and this, in turn, leads to the conclusion.
More complicated, hybrid arguments, involve several
combinations of the above elements into a larger
argument structure.
Calegari and Sartor (2020) are modelling the
burden of persuasion in legal proceedings. The
burden of persuasion indicates that it is necessary to
give a dialectically convincing argument to establish
a claim. In order to be convincing, the argument must
prevail over all counter-arguments that are non-
rejected on other grounds.
Quijano-Sánchez and Cantador (2020) propose an
extension of an argumentative model. Their new
generic model considers argument structures with
different semantic components and relationships. A
case study is carried out on contents of the Spanish
Parliament demonstrating how to extract structured
arguments from texts.
Navaretta and Hansen (2020) consider
differences in the word use of two left-winged and
two right-winged Danish parties and study how these
differences can be used to automatically identify the
party of politicians from their speeches. The analysis
shows that the most frequently occurring lemmas
reflect either the ideology or the position of the
parties.
Ruiz-Dolz et al. (2021) present a large, richly
annotated debate corpus VivesDebate. The corpus has
been created from the transcripts of 29 complete
competitive debates in Catalan and includes 139,756
words. The annotation contains argumentative
propositions, argumentative relations, debate
Comparing Arguments in Discussions of Two Parliaments
157
interactions and professional evaluations of the
arguments and argumentation.
This article studies discussions in two parliaments
in order to identify arguments and relations between
arguments. An annotated corpus of Estonian
Parliament discussions is introduced and compared
with the corpus of UK Parliament debates. We aim at
demonstrating how the annotated corpora can be used
for comparisons.
3 ARGUMENTS PRESENTED IN
THE PARLIAMENT OF
ESTONIA
Let us start with the analysis of discussions held in the
Parliament of Estonia, in order to figure out how the
arguments are used in discussions.
3.1 Empirical Material
Our empirical material comes from the Estonian
argument corpus. The corpus currently includes
verbatim records of the proceedings on seven bills in
the Riigikogu (social care, animal protection, etc.).
Arguments and inter-argument relations are
annotated in the corpus (Koit, 2020).
The passing of acts and resolutions is an important
task of the Riigikogu. A bill initiated by the
government will pass three readings, during which it
is refined and amended. The proceeding of a bill is
managed by the relevant leading committee. The
proceedings have predetermined structure (Figure 1).
First, the representatives of the government and the
leading committee make their reports about the bill
and/or its amendments. After every presentation, MPs
can ask questions which will be answered by the
presenter. Then negotiation follows where arguments
for and against the bill and its amendments are given.
Arguments can be presented also in reports and when
asking and answering questions. The 2
nd
and 3
rd
readings in addition include voting on amendments
and final voting, respectively.
As an example, let us consider the bill on sale and
consumption of alcohol proceeded in 2001. The
records of three sittings consist of 27,768 tokens in
total.
3.2 Argument Structures
An argument is a series of statements in a natural
language, called the premises, intended to determine
the degree of truth of another statement – the claim.
- - 1
st
reading
Presenter (Minister): Report
{
MP: question
Presenter: answer
}
Co-presenter (Head of leading committee):
Report
{
MP: question
Co-presenter: answer
}
- - negotiation
{
MP: argument
}
- - 2
nd
reading
Presenter (Head of leading committee): Report
on amendments
{
MP: question
Presenter: answer
}
- - negotiation
{
MP: argument
}
voting on amendment motions
- - 3
rd
reading
- - negotiation
{
MP: argument
}
final voting
Figure 1: General structure of proceeding a bill in the
Riigikogu. The brackets {} connect a part that can be
repeated; ’- -’ starts a comment. MP any member of
Riigikogu.
When analysing persuading essays, Stab and
Gurevych (2014) make a distinction between the
main claim and a claim of an argument. In
parliamentary discussions, we similarly can
determine the main claim that is together with its
premises given in the report of Minister in the
beginning of the first reading. We can consider a set
of the statements supporting the main claim (i.e. main
premises) together with the main claim as the main
argument. Example 1 presents the main argument of
proceeding the bill on alcohol. The annotation
follows (Koit, 2020).
As said before, arguments can be presented in
reports as well as when asking and answering
questions. Nevertheless, 75% of arguments are given
in special parts of readings negotiations (cf. Koit,
2021). The total number of arguments is 48 (in
addition to the main argument).
KEOD 2022 - 14th International Conference on Knowledge Engineering and Ontology Development
158
(1)
<main argument>
<main claim>
<…>kehtiva alkoholiseaduse asendamiseks vastu
võtta uus seadus. adopt a new law that will
substitute the existing one.
</main claim>
<premise>
Kehtivast seadusest kaks korda mahukama eelnõu
väljatöötamisel on peetud silmas vajadust tagada
tooteohutus <…>, illegaalsete alkoholikäitlejate
vastutuse möödapääsmatus. … assure product safety
<…>, responsibility of illegal dealers.
</premise>
<…>
<premise>
<…> tänavakaubanduses oleks igasugune
alkoholimüük keelatud. <…> prohibit selling alcohol
in street commerce.
</premise>
<premise>
<…> puskariajamine nii oma tarbeks kui müügi
eesmärgil on keelatud. <…> prohibit distillation of
homebrew both for own usage and for sale.
</premise>
</main argument>
In majority of cases, an argument has only one
premise and one claim, i.e. its structure (diagram) is
basic (Stab and Gurevych, 2017:626). The next most
frequent structure is linked where the argument has
more than one premise that work together to support
a claim (like the main argument, Example 1). There
are some arguments with two or more premises that
independently support a claim (convergent
arguments). There are also some hybrid arguments
that involve several combinations of simpler
arguments into a larger argument structure (Example
2).
(2)
Ma arvan, et I think that
<argument>
<premise>
<argument>
<premise>
kui me peaksime millegi bensiinijaamas müümise
keelama, if we prohibit selling of something in petrol
stations,
</premise>
<claim>
siis me peaksime keelama just nimelt lahjade
alkohoolsete jookide müügi, siidrite, lahjade õllede
müügi, then we have to prohibit just selling of cider,
bear etc.,
</claim>
</argument>
</premise>
<claim>
sest need võivad tekitada autojuhil isu ja arvamuse, et
selle võib ta siiski ära juua. because they whet
appetite and bring a driver to believe that he may
drink them off.
</claim>
</argument>
This hybrid argument includes two basic
argument structures inside. Let us mention that there
is a different option to annotate the argument (2) as
serial. However, we are departing from the current
annotation of our argument corpus.
Divergent arguments have not been used by MPs
when proceeding the bill on alcohol (according to our
annotation).
The distribution of different argument structures
is shown in Figure 2.
Figure 2: Distribution of argument structures when
proceeding the bill on alcohol (number of arguments).
3.3 Arguments for and against the Bill
Three types of relations can appear between the
arguments: support, attack and rebuttal (Amgoud et
al., 2015).
An argument can support a premise or a claim of
another argument. An argument also can attack
another argument or its premise (Example 3). The
distribution of different inter-argument relations is
shown in Figure 3.
(3)
<argument>
- - attacking a premise of the main argument (1)
<premise>
Kui aina rohkem piiratakse alkoholi kättesaadavust If
availability of alcohol will be restricted more and
more
</premise>
25
7
9
0
7
#arguments
Argumentstructures:Estonia
Comparing Arguments in Discussions of Two Parliaments
159
<claim> see on Põhjamaade kogemus hakkavad
levima igasugused kompenseerivad toimingud ja
äritsemised. – that is the experience of the Nordic
countries – then all kinds of neutralising activities
and trades will escalate.
</claim>
</argument>
Figure 3: Distribution of inter-argument relations when
proceeding the bill on alcohol (number of arguments).
The number of attacking arguments is twice
bigger as compared with the number of supporting
ones. However, majority (66%) of the arguments are
related to amendments and do not attack the premises
of the main argument presented in the report of
Minister in the first reading. An argument can support
(a premise or claim of) a previous argument and at the
same time, explicitly attack another argument or its
premise. Two arguments curiously rebut the main
argument.
4 ARGUMENTS PRESENTED IN
THE UK PARLIAMENT
For comparison, let us consider a discussion in the
UK Parliament from the same year (2001). The
proceedings can be accessed online, similarly with
many other parliaments.
4.1 Empirical Material
A debate is a formal discussion of a specific proposal
(motion) in the House of Commons or House of
Lords. Members take it in turns to speak and there are
rules and conventions that are followed. Debates can
be read in the Official Report (Hansard) and viewed
online via Parliament TV. We selected the Tobacco
Advertising and Promotion Bill (2001) discussed in
the House of Commons. We analyse the second
reading which is the first opportunity for MPs for
debate on the bill (the verbatim record includes
55,327 tokens). The Secretary of State for Health
opens the discussion. His presentation includes the
main argument (Example 4).
(4)
<main argument>
<main claim>
The Bill will ban tobacco advertising and sponsorship
in this country.
</main claim>
<premise>
It will do so to protect public health, to safeguard
children and to reduce health inequalities.
</premise>
<…>
<premise>
Smoking kills 120,000 people <…> every year.
</premise>
<…>
<premise>
It is one of the principal causes of the health gap
between the richest and the poorest in our country.
</premise>
</main argument>
After the report of the Secretary of State, the official
opposition spokesperson responds with their views on
the bill. The discussion continues with other
opposition parties and backbench MPs giving their
opinions. After every report, MPs can ask questions
that will be answered by the presenter. Finally, the
Commons decides whether the Bill should be given
its second reading by voting, meaning it can proceed
to the next stage. Therefore, the procedure is quite
different as compared with the Riigikogu. However,
arguments can be presented in every report as well as
when asking and answering questions.
4.2 Argument Structures
An expert annotated the arguments and inter-
argument relations in the proceedings. In total, 41
arguments have been found in addition to the main
argument (4). More than half of the arguments (63%)
have the simplest, basic structure, i.e. including one
premise and one claim (Example 5).
(5)
<argument>
<claim>
There are all kinds of pragmatic arguments against
the Bill
</claim>
<premise>
<…> its most offensive aspect is that it proposes a
total ban on the advertising of a legal, much-used
27
13
6
2
attack support att./supp. rebuttal
#arguments
Relations:Estonia
KEOD 2022 - 14th International Conference on Knowledge Engineering and Ontology Development
160
product and denies consumers information that
would enable them to make an informed choice.
</premise>
</argument>
Out of the remaining arguments, there are some
linked and convergent arguments. There are also
some complex, hybrid arguments (Example 6).
(6)
<argument>
<claim>
If we want to stop children smoking —I am one who
does—
</claim>
<premise>
<argument>
<claim>
we must recognise that the most effective way is to
limit their access to cigarettes
</claim>
<premise>
by making the laws prohibiting under-age sales more
effective;
</premise>
<premise>
implementing education programmes designed to
discourage children from buying cigarettes
</premise>
<premise>
and encourage adults to exercise more responsibility;
</premise>
<premise>
and by clamping down on the illicit importation of
cigarettes.
</premise>
</argument>
</premise>
</argument>
The premise of the argument (6) is a different, linked
argument. The distribution of argument structures is
shown in Figure 4.
4.3 Arguments for and against the Bill
The arguments attack or support premises of the main
argument presented in the first report. Some
arguments attack or support premises of the (single)
amendment presented by the opposition (stating there
is insufficient evidence that the ban would reduce
tobacco consumption).
The number of attacking arguments is slightly
greater than of supporting ones. For example, the
argument (5) is the only which rebuts the main
argument. The argument (6) supports a premise and
the claim of the main argument. The distribution of
relations is shown in Figure 5.
Figure 4: Distribution of argument structures when
proceeding the Tobacco Bill (number of arguments).
Figure 5: Distribution of inter-argument relations when
proceeding the Tobacco Bill (number of arguments).
5 DISCUSSION
We are analysing arguments presented in two
different parliaments when discussing a bill in the
Estonian Riigikogu and the UK Parliament House of
Commons. The legislation procedures are different
but arguments are presented in both parliaments.
In the Riigikogu, the representatives of
government and the leading committee make reports
about the bill. Every report will be followed by
questions of MPs. 75% of arguments are presented
during special parts of readings negotiations, the
remaining 25% – in reports and questions or answers
(Figure 1).
Discussions in the UK Parliament are more
complicated because the Parliament has two Houses.
We consider here only one sitting in the House of
Commons the 2
nd
reading of the bill. Here,
arguments for and against the bill are presented in
reports and in following question-answer dialogues.
We compare the argument structures and inter-
argument relations in the two parliaments. We also
26
2
6
0
7
#arguments
Argumentstructures:UK
21
18
11
0
5
10
15
20
25
attack support att./supp. rebuttal
#arguments
Relations:UK
Comparing Arguments in Discussions of Two Parliaments
161
figure out the general procedures of presentation of
arguments in both parliaments.
Figure 6: Distribution of argument structures (% of
arguments): comparison of two parliaments.
In the Riigikogu, 48 arguments are presented
either in reports, when asking and answering
questions, or in negotiations on the general principles
and the amendments of the bill (in addition to the
main argument). In the UK Parliament, 41 arguments
are given in reports and when asking and answering
questions.
Considering the structure (diagrams) of the
arguments, we can conclude that the debaters give
preference to the simplest, basic arguments in both
parliaments (Figure 6). Such an argument seems to be
the strongest and most accessible to transfer the
message expressing the relation between a premise
and a claim.
More complex, hybrid arguments are only used in
seven cases both in the Riigikogu and in the UK
Parliament. Obviously, such arguments are not
always easy to understand. Divergent arguments
where more than one claim follows to one premise
have not been found in neither of proceedings. The
main argument presented in the very first report has
the linked structure in both parliaments. Here, the
premises work together to conclude the claim.
Comparative distribution of relations (rebuttal,
attack, support) between the arguments is shown in
Figure 7. Relations make it possible to figure out the
progress of the debate. In the Riigikogu, negotiation
curiously starts with an argument rebutting the main
argument ([…] If we approve the bill in the present
form then we express our satisfaction with the high
consumption of alcohol […]). After that, many
arguments are presented to support or attack some
amendments (only 39 amendments out of proposed
97 have been accepted after voting). Few arguments
support the main claim (‘to adopt the bill’) or to the
contrary, attack premises of the main argument.
Finally, it turns out that the arguments supporting the
bill are more convincing than the counterarguments
and the debate after final voting ends with adopting
the act.
Figure 7: Distribution of inter-argument relations (% of
arguments): comparison of two parliaments.
In the UK Parliament House of Commons, the
debate starts with arguments supporting some
premises or the claim of the main argument.
Attacking arguments are presented later in the debate.
Although their total number is greater, the voting
decides that the bill can proceed to the next stage.
Therefore, similarly with the Riigikogu, the
supporting arguments turn out to be more convincing.
In the UK Parliament, arguments are often
presented by using check questions (Bunt et al.,
2020). There are 51 check questions out of 73 asked
questions. Differently from the Riigikogu, 3
rd
person
is used when applying to another person in
discussion, e.g. Does the Secretary of State think …?,
The hon. Gentleman is wrong (not Do you think…?,
You are wrong as in the Riigikogu). Specific style
(negative question) often appears in the UK
Parliament (e.g. Does he not …?). That is different in
the Riigikogu – Estonian MPs argue more personally
and directly. It seems to be a cultural difference.
In this study, we compared the form and functions
of arguments in two different parliaments. In order to
characterize the MPs by their used arguments (incl.
the structures and language features of arguments) we
need to study different proceedings with the same
participants. This requests extending our corpus in
order to make a step toward the automatic recognition
of arguments.
0
20
40
60
80
%arguments
Argumentstructures
Estonia UK
0
20
40
60
attack support att./supp. rebuttal
%arguments
Relations
Estonia UK
KEOD 2022 - 14th International Conference on Knowledge Engineering and Ontology Development
162
6 CONCLUSIONS
In the first part of the paper, a discussion on the bill
of alcohol in the Riigikogu is analyzed. For
comparison, the 2
nd
reading of the Tobacco
Advertising and Promotion Bill in the UK Parliament
House of Commons is considered in the second part
of the paper. Argument structures and inter-argument
relations are compared in two parliaments. The
simplest, basic arguments prevail in both parliaments.
Although the number of supporting arguments is less
than of attacking ones, the former arguments turn out
to be more convincing and both discussions end with
approving the bill.
The current aim has been to demonstrate how
annotated argument corpora can be used for
characterizing and comparing the discussions in two
parliaments. Our corpus has to be extended in order
to make it possible the automatic recognition of
arguments as well as further analysis of political
discussions. This remains for further work.
ACKNOWLEDGEMENTS
This work was supported by the European Union
through the European Regional Development Fund
(Centre of Excellence in Estonian Studies).
REFERENCES
Amgoud, L., Besnard, P., Hunter, A., 2015. Logical
Representation and Analysis for RC-Arguments. In
Proc. of ICTAI, 104–110.
Atkinson, K., Baroni, P., Giacomin, M., Hunter, A.,
Prakken, H., Reed, C., Simari, G., Thimm, M., Villata,
S., 2017. Towards Artificial Argumentation. In AI
Magazine, 38(3). https://doi.org/10.1609/aimag.v38i3.-
2704
Bara, J., Weale, A., Bicquelet, A. 2007. Analysing
Parliamentary Debate with Computer Assistance. In
Swiss Political Science Review 13(4), 577–605.
Bunt, H., Petukhova, V., Gilmartin, E., Pelachaud, C.,
Fang, A.C., Keizer, S., Prévot, L. The ISO Standard for
Dialogue Act Annotation, Second Edition. 2020. In
Proc. of LREC, 549–558.
Calabretta, I., Dalton, C., Griscom, R., Kołczyńska, M.,
Pahor de Maiti, K., Ros, R. 2021. Parliamentary debates
in the COVID times. https://dhhackathon.-
wordpress.com/2021/05/28/parliamentary-debates-in-
the-covid-times/
Calegari, R., Sartor, G. 2020. Burden of Persuasion in
Argumentation. In Proc. of ICLP, 151–163.
Erjavec, T., Ogrodniczuk, M., Osenova, P. et al. 2022. The
ParlaMint corpora of parliamentary proceedings. In
Language Resources and Evaluation.
https://doi.org/10.1007/s10579-021-09574-0
Haddadan, S., Cabrio, E., Villata, S., 2018. Annotation of
Argument Components in Political Debates Data. In
Proc. of the Workshop on Annotation in Digital
Humanities, 12–16.
Janier, M., Lawrence, J., Reed, C., 2014. OVA+: An
Argument Analysis Interface. In Frontiers in Artificial
Intelligence and Applications. Vol, 266, 463–464.
Koit, M., 2021. How Are the Members of a Parliament
Arguing? Analysis of an Argument Corpus. In Proc. of
ICAART. Vol. 2, 1046−1053.
Koit, M., 2020. Annotating Arguments in a Parliamentary
Corpus: An Experience. In Proc. of KEOD. Vol 2,
213−218.
Lawrence, J., Reed, C., 2019. Argument Mining: A Survey.
In Computational Linguistics, vol. 45 (4), 765–818.
https://doi.org/10.1162/COLI.a.00364
Lippi, M., Torroni, P., 2016. Argument mining from
speech: detecting claims in political debates. In Proc. of
AAAI’16, 2979-2985.
Menini, S., Cabrio, E., Tonelli, S., and Villata, S., 2018.
Never retreat, never retract: Argumentation analysis for
political speeches. In Proc. of AAAI-18, 4889–4896.
Naderi, N., Hirst, G. 2015. Argumentation mining in
parliamentary discourse. In Proc. of CMNA-15, 1625.
Navarretta, C., Hansen, D.H. 2020. Identifying Parties in
Manifestos and Parliament Speeches. 2020. In Proc. of
ParlaCLARIN II, 51–57.
Parliamentary corpora. 2022. https://www.clarin.eu/-
resource-families/parliamentary-corpora
ParlaMint: Towards Comparable Parliamentary Corpora.
2022. https://www.clarin.eu/content/parlamint-towards
-comparable-parliamentary-corpora
Petukhova, V., Malchanau, A., Oualil, Y., Klakow, D., Luz,
S., Haider, F., Campbell, N., Koryzis, D.,
Spiliotopoulos, D., Albert, P., Linz, N., Alexandersson,
J. 2018. The Metalogue Debate Trainee Corpus: Data
Collection and Annotations. In Proc. of LREC, 749-755.
Petukhova, V., Malchanau, A., Bunt, H., 2015. Modelling
argumentative behaviour in parliamentary debates: data
collection, analysis and test case. In LNCS, vol 9935.
Springer, Cham. https://doi.org/10.1007/978-3-319-
46218-9_3
Quijano-Sánchez, L., Cantador, I., 2020. Structured
argumentation modeling and extraction: Understanding
the semantics of parliamentary content. In Proc. of
CIRCLE. http://ceur-ws.org/Vol-2621/
Riigikogu (Parliament of Estonia). 2022.
https://www.riigikogu.ee/en/
Ruiz-Dolz, R., Nofre, M., Taulé, M., Heras, S., García-
Fornes, 2021. A. VivesDebate: A New Annotated
Multilingual Corpus of Argumentation in a Debate
Tournament. In Appl. Sci., 11, 7160.
https://doi.org/10.3390/app11157160
Stab, C., Gurevych, I., 2017. Parsing Argumentation
Structures in Persuasive Essays. In Computational
Linguistics, 43(3), 619–659.
Comparing Arguments in Discussions of Two Parliaments
163
Stab, C., Gurevych, I., 2014. Annotating Argument
Components and Relations in Persuasive Essays. In
Proc. of COLING, 1501–1510, Dublin, Ireland.
Tobacco Advertising and Promotion Bill. 2001.
http://hansard.millbanksystems.com/commons/2001/ja
n/22/
Wagemans, J. H. M., 2016. Constructing a Periodic Table
of Arguments. In P. Bondy & L. Benacquista (Eds.), In
Argumentation, Objectivity, and Bias: Proceedings of
the 11th international conference of the Ontario society
for the study of argumentation (OSSA), 1–12.
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