How Do the Members of a Parliament Negotiate? Analysing
Verbatim Records
Mare Koit
1 a
, Haldur Õim
2 b
and Tiit Roosmaa
1 c
1
Institute of Computer Science, University of Tartu, J. Liivi 2, Tartu, Estonia
2
Institute of Estonian and General Linguistics, University of Tartu, Jakobi 2, Tartu, Estonia
Keywords: Negotiation, Parliament, Verbatim Record, Dialogue Act, Knowledge Representation.
Abstract: Negotiation is a strategic discussion that resolves an issue in a way that both parties find acceptable. Specific
forms of negotiation are used in many situations, among them in parliamentary discussions. In this paper we
report on a pilot study on verbatim records of sittings held in the Estonian Parliament. The structure of the
discussions will be represented by using the dialogue acts of a custom-made typology. It will be compared
with the structure of negotiation in everyday life. Our further aim is to create means for automatically
recognizing the structure and analysing the contents of parliamentary negotiations and political arguments.
To our knowledge, this is the first attempt to model Estonian political discussions.
1 INTRODUCTION
Negotiation is a communication whereby parties who
have opposing interests discuss the form of any joint
action that they might take to manage and ultimately
resolve the dispute between them (Dispute, 2017).
Specific forms of negotiation are used in many
situations: international affairs, the legal system,
government, industrial disputes or domestic
relationships as examples (Negotiation).
Parliamentary speech has always been in the
centre of the humanitarian and societal interest with
its influential language and content for the policy
making as well as for the social and political
environment (Working, 2017). The empirical study of
parliamentary discourse contributes to an
understanding of how policy issues are framed.
Studying parliamentary discourse can also be related
to comparative assessments of the deliberative
performance of different parliaments (Bara et al.,
2007).
In the current paper we present an approach to
modelling the discussions held in the Estonian
Parliament (Riigikogu) based on the verbatim records
of the sittings. In the records, repetitions and
disfluencies are omitted, while supplementary
a
https://orcid.org/0000-0002-7318-087X
b
https://orcid.org/0000-0002-1123-7252
c
https://orcid.org/0000-0001-7412-7168
information such as speaker names are added. We are
looking for the general structure of the discussions
including negotiations on motions where arguments
and counterarguments are presented. To our
knowledge, it is the first attempt to model Estonian
political discussions.
The paper is structured as follows. Section 2
describes the related work. In Section 3, we examine
two randomly selected discussions by using verbatim
records of sittings one from 1992 when the
Riigikogu has newly started its sessions after the
restitution of the Republic of Estonia, and another
from 2018. We represent the structure of both
discussions as a sequence of dialogue acts. In Section
4 we concentrate on the descriptive analysis of these
structures with the aim of establishing the similarities
and differences between them. These data can be used
for interpreting the changes in Estonian parliamentary
(political) discussions during the period under
consideration. Section 4 considers some problems
related to these structures, finding out the similarities
and differences between them. We also compare the
structure of the parliamentary negotiations with the
structure of everyday negotiation of two people.
Section 5 draws conclusions and figures out the future
work.
Koit, M., Õim, H. and Roosmaa, T.
How Do the Members of a Parliament Negotiate? Analysing Verbatim Records.
DOI: 10.5220/0008345303290335
In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019), pages 329-335
ISBN: 978-989-758-382-7
Copyright
c
2019 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
329
2 RELATED WORK
There are many ongoing initiatives for compiling
digital collections of parliament data (Workshop,
2017). The parliament-focused corpora are for
example, EuroParl a multilingual parallel corpus of
the sessions of the European Parliament in 1996
2011, Hansard corpus that includes speeches given in
the British Parliament from 1803-2005, speech data
from the Czech parliament, the Talk of Norway
corpus a collection of proceedings from the
Norwegian parliament, etc. Recent CLARIN-PLUS
survey on parliament data has identified over 20
corpora of parliamentary records, with over half of
them being available within the CLARIN
infrastructure. It is urgent to gather researchers
producing parliamentary corpora and making them
available, in order to share methods and approaches
of compiling, annotating and exploring them
(ParlaClarin, 2018).
Parliamentary debates are an important resource
because they contain impactful information and
special, formalized and often persuasive and
emotional language. The data can be used for
linguistic, historical, political, sociological etc.
research.
Bara et al., (2007) compare two approaches, one
semi-automated (Hamlet) and the other fully
automated (Alceste), when analysing debate from the
UK House of Commons on a private member’s bill
on abortion in 1966. The authors conclude that both
techniques have produced results which are pertinent
to the study of deliberation set within a parliamentary
context and that each of them has particular strengths.
The review of Atkinson et al., (2015) considers
the development of artificial tools that capture the
human ability to argue. Such systems can be used
when modelling political argumentation being able
automatically extract arguments and relations
between them.
Bunt et al., (2015) analyse plenary sessions in the
UK Youth Parliament and apply the information state
update approach to tracking and understanding the
argumentative behaviour of participants in a
parliamentary debate, in order to predict its outcome.
The paper of van Aggelen et al., (2017) describes
the design, generation and use of LinkedEP, an RDF
translation of the verbatim proceedings of the plenary
sessions of the European Parliament, including links
to four other datasets.
Vilares (2017) presents a model to analyse what is
going on in political debates, without relying on any
labelled data and assuming the perspectives of a topic
to be latent. It is implemented through a hierarchical
Bayesian model.
Abercrombie and Batista-Navarro (2018)
annotate Hansard debates with sentiment tags,
creating a novel corpus (HanDeSeT) for use in the
evaluation of automatic parliamentary speech-level
sentiment analysis systems. These consist of
proposed motions and the associated speeches of
Members of the House.
Venkata et al., (2018) analyse a dataset of
synopsis of Indian parliamentary debates. They
develop a generic software parser for the conversion
of unstructured pdf files into structured format, i.e.
into a relational database. They analyse the purpose
of the speeches of the members of parliament and
categorize them into four categories. They also
present the results on binary stance classification of
the speeches whether the member is in favour of the
debate topic or not.
A new series of workshops (ParlaClarin) are being
conducted to encourage research in parliamentary
debates for better harmonization, interoperability and
comparability of the resources and tools relevant for
the study of parliamentary discussions and decisions,
not only in Europe but worldwide.
3 TWO CASE STUDIES
In the following, we analyse the verbatim records of
some discussions held in the Parliament of Estonia.
Our aim is to figure out the structure of discussions
on a topic and represent it by a sequence of dialogue
acts.
3.1 Empirical Material
Our empirical material is formed by the records of the
Parliament of Estonia Riigikogu (cf. Riigikogu). An
important task of the Riigikogu is the passing of acts
and resolutions. Acts are the result of work in
multiple stages. The first stage of legislation involves
the drafting of a bill (a draft act). During the second
stage, the bill is initiated in the Riigikogu. The bill
will then pass three readings (in some cases two),
during which it is refined and amended. The
proceeding of a bill is managed by the relevant
leading committee. After having been passed by the
Riigikogu, the act is sent to the President of the
Republic for proclamation, and is then published in
State Gazette.
Verbatim records of the sittings of the Riigikogu
(in Estonian) are accessible on the Web as pdf files.
A corpus is formed that includes a part of the records
KEOD 2019 - 11th International Conference on Knowledge Engineering and Ontology Development
330
from 1995 to 2001 (in total, 13 million tokens), both
for download and on-line searching (Koondkorpus:
Riigikogu). For the current study, however, we have
randomly chosen two items outside of the corpus
one from the sittings in 1992 when the Riigikogu has
newly started after the restitution of the Republic of
Estonia, and another from 2018. The first item
considers the draft act on animal protection (it passed
two readings) and another on social care (three
readings). Both debates end after voting with
adopting of the acts by the members of Riigikogu
(MPs).
In our study, we are looking for the structure of
the debates held in the Riigikogu and especially, of
negotiations as parts of these debates where
arguments for and against a motion are presented. To
do so, we have annotated the records under
consideration by using a custom-made dialogue act
(DA) system that is based on Conversation Analysis
(Sidnell and Stivers, 2012).
The typology was worked out and has been used
for annotation of DAs in Estonian dialogues before
the ISO 24617-2 standard has been approved (Bunt et
al., 2017). In the used typology, the DAs are divided
into two groups (1) adjacency pair (AP) acts where
the first pair part expects a certain second pair part
(like questionanswer), and (2) non-AP acts which do
not expect any response (like giving additional
information which was not asked for). Names of the
DAs consist of two parts separated by a colon: the
first two letters give an abbreviation of the name of
an act-group, e.g. QU QUestion, AI Additional
Information. The third letter is used only for AP acts
the first (F) or the second (S) pair part of an AP. The
second part is the proper name of the act. There are
acts like QUF: Wh-question, QUS: Giving
information, AI: Justification, etc. The total number of
the acts is 126. An overview of the typology is given
in Appendix. Custom-made software has been used
for semi-automatic annotation carried out by the
authors of this paper.
As a rule, one DA corresponds to every sentence
but when annotating, any presented report as a part of
a discussion was considered as a whole, no DAs were
annotated inside. Still, both the DA system and the
tool have been designed for annotation of the
Estonian human-human spoken dialogues therefore
many manual corrections have been needed when
annotating the parliamentary records.
However, we plan to go over to the ISO standard
in our future work. The aim is to make our research
better comparable with other studies.
3.2 Animal Protection: The General
Structure of Parliamentary Debate
in 1992
The first analysed bill (from 1992) considers the
conditions of handling domestic animals, their
killing, stray animals, etc (cf. Riigikogu). It has been
initiated by the Minister of Environment.
The meetings are chaired by the President of
Riigikogu. The 1
st
reading starts with the report of the
leading committee. The presenter asserts that the bill
has been worked out by a specialist who is not a
member of the committee but he will make a co-
report. Then, questions are asked by the MPs and
answered by the presenter. For example: Is the bill
approved by the veterinary service? Are there some
rules for ritual killing? The co-presentation of the
specialist follows. Again, questions are asked by the
MPs and answered by the co-presenter. Not only
questions but motions to amend are made by MPs,
e.g. Some adjustments are needed in this paragraph
indicate who exactly will do the proposed actions.
After the 1
st
reading, the amendments concerning the
bill have to be delivered to the leading committee in
the written form.
The 2
nd
reading starts with the report of the
leading committee on the amendments which whether
have been accepted or not by the committee and on
the changes that were introduced into the bill. Then
questions are asked by the MPs and answered by the
presenter, e.g. Who is responsible for solving the
problem of stray dogs? Now the negotiation starts
where arguments and counterarguments are given for
and against the introduced corrections. New
amendments are also proposed, e.g. I propose to add
an explanation to §8 related to torture of animals by
infants. After the negotiation, a break is announced
by the Chair in order to introduce the final corrections
into the bill. After the break, a report is presented by
the leading committee on the accepted amendments.
The authors of the amendments not accepted have the
right to request voting (but nobody does it request in
this case). Finally, a voting follows where the MPs
adopt the act.
The general structure of the discussions is
represented in Fig.1. As said before, we consider any
presented report as a whole and do not annotate the
DAs that it includes. The authors of turns are given in
italics. MP, MP
i
, MP
J
is any member of Riigikogu.
The winding brackets connect a part that can be
repeated; round brackets connect a part that can be
missed; ’/’ separates alternative dialogue acts; ‘+’
marks multifunctional acts; ’- -’ starts a comment.
How Do the Members of a Parliament Negotiate? Analysing Verbatim Records
331
- - 1
st
reading
- - initiator of the draft Act Minister
Presenter a member of the leading committee Report
{
MP QUF: Wh-question/ DIF: Proposal
Presenter QUS: Giving information (PS: Giving information/
AI: Justification)
}
Co-presenter author of the draft Act Report
{
MP QUF: Wh-question/ Yes-no question/ DIF: Proposal
Co-presenter QUS: Giving information
}
- - break, presenting the amendment proposals to the leading
committee in written form
- - 2
nd
reading
Presenter a member of the leading committee Report
{
MP QUF: Wh-question/ Yes-no question/ DIF: Proposal
Presenter QUS: Giving information
}
- - negotiation
{
MP
i
OPF: Assertion/ Opinion / DIF: Proposal/ PS: Giving
information/ AI: Justification - - argument
MP
j
OPS/DIS: Accept/Reject/ OPF: Assertion/ Opinion/ PS:
Giving information/ AI: Justification - - argument
}
- - break; introducing the corrections into text
Presenter a member of the leading committee Report about
the corrections made
(- - voting on amendment motions)
- - final voting
Figure 1: The structure of discussions in 1992. The winding
brackets ’{’ and ’}’ connect a part that can be repeated;
round brackets connect a part that can be missed; ’/’
separates alternative DAs; ‘+’ marks multifunctional DAs;
- - starts a comment. MP, MP
i
, MP
j
any member of
Riigikogu.
3.3 Social Care: The General Structure
of Parliamentary Debate in 2018
The second analysed bill (from 2018) considers
introducing the changes into the valid law on social
care (cf. Riigikogu). It is initiated by the Government.
The aim is to create an additional supporting system
for youth security. The reason to introduce the
changes is that the rate of unemployed young people
is twice greater than the average unemployment.
The 1
st
reading starts with the report of the
Minister. He presents several arguments for the
planned changes, e.g. They are needed to better
perform the tasks proposed by the European
Committee; Early intervention helps to involve the
passive young people who are neither working nor
learning. After that, questions are asked by the MPs
and answered by the presenter. Then, a presentation
of the leading committee follows where an overview
of the discussion is given that took place in the
committee. Again, questions are asked and answered,
e.g. Do the changes increase the workload of
officials? Yes, but a compensation will be granted.
- - 1
st
reading
- - initiator Government
Presenter Minister Report
{
MP QUF: Wh-question / Yes-no question/ PS: Giving
information/ AI: Specification/ Explication/ Justification
Presenter QUS: Giving information
}
Co-presenter a member of leading committee Report
{
MP QUF: Wh-question
Co-presenter QUS: Giving information
}
- - negotiation
{
MP
i
OPF: Assertion/ Opinion - - argument
MP
j
OPS: Accept/ Reject + OPF: Assertion/ Opinion/ PS:
Giving information/ AI: Specification/ Explication/ Justification
- - argument
}
- - 2
nd
reading
Presenter a member of leading committee Report
{
MP QUF: Wh-question/ OPF: Assertion/ Opinion
Presenter QUS: Giving information + OPS: Accept/ Reject
}
- - negotiation
{
MP
i
OPF: Assertion/ Opinion/ DIF: Proposal/ PS: Giving
information/ AI: Specification/ Explication/ Justification
- - argument
MP
j
OPS: Accept / Reject + OPF: Assertion / Opinion/ DIS:
Accept/ Reject - - argument
}
- - voting on amendment motions
- - 3
rd
reading
- - negotiation
{
MP
i
OPF: Assertion/ Opinion/ DIF: Proposal - - argument
MP
j
OPS: Accept/ Reject + OPF: Assertion/ Opinion / DIS:
Accept/ Reject - - argument
}
- - chair announces the final voting
- - voting
Figure 2: The structure of discussions in 2018. The winding
brackets connect a part that can be repeated; round brackets
connect a part that can be missed; ’/’ separates alternative
DAs; ‘+’ marks multifunctional DAs; - -starts a comment.
MP, MP
i
, MP
j
any member of Riigikogu.
Negotiation is announced by the Chair on the general
principles of the bill. Here, arguments for and against
are presented, e.g. The changes will intervene into
private life; We (social democrats) definitely support
the changes. Between the 1
st
and 2
nd
readings, written
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amendments concerning the bill are transferred to the
leading committee.
The 2
nd
reading starts with the report of the
leading committee about the amendments accepted or
not. Questions are asked and answered, e.g. Why we
must change the valid law for the pilot project? This
pilot project is impossible without a law. Negotiation
follows where arguments for and against are given
concerning the amendments.
The corrected text of the bill has been distributed
to the MPs before the next reading. The last, 3
rd
reading starts with negotiation. Again, arguments and
counterarguments for/against the draft act are
proposed, e.g. We can’t support pursuing of young
people; Tax free service for people who need help
should be approved. Finally, the Chair announces the
final voting and the act will be adopted by the MPs.
Fig.2 represents the general structure of the
discussions.
4 DISCUSSION
Some preliminary inferences can be drawn from the
analysis. When comparing the structure of the
analysed items we can conclude that during the years,
our Riigikogu has refined its work. In 1992, the act
was approved after two readings while three readings
were needed in 2018. The record from 1992 includes
5,824 running words while the one from 2018
14,662. The number of questions asked (and
answered) also has increased. In 1992, from one to
five questions have been asked after every presented
report on the considered item but in 2018 from four
to fifteen. When comparing the structure and contents
of negotiations, we can summarize that the general
structure is similar in discussions on both topics but
the number of the presented arguments is bigger in
the negotiations in 2018 than 1992 (respectively,
eight and three). In both years, motions to amend
were put to voting. In 1992, MP who has made the
amendment did not request voting. In 2018, on the
contrary, all the amendments have been voted. We
can see how the political culture improved during the
years the MPs are now more informed and self-
conscious.
However, in order to draw general inferences, a
thoroughgoing analysis will be needed. This remains
for the future research.
In our previous paper, we have analysed the
structure of everyday face-to-face negotiations taken
from the Estonian Dialogue Corpus (Koit, 2016).
There are two participants (A and B) involved in
negotiations. A makes a proposal to B to do an action.
Then arguments for and against will be presented by
the participants and finally, a decision will be made
by B accept or not the proposal. The typical
structure of the negotiation is presented in Fig.3.
As expected, in parliamentary negotiations, the
situation is more complicated. It is multi-party event,
i.e. all MPs can have a floor when negotiating a
motion (i.e. the proposal that has been considered in
a preceding report). In the report, arguments for the
motion are also given (but we currently do not
annotate them). Arguments for and against presented
in negotiation are not single DAs but always
sequences of DAs where information is repeated,
justified and explained. In the two analysed cases,
arguments for the motion are prevailing over the
counterarguments and both acts are approved.
A DIF: Proposal
(PS: Giving information/ AI: Justification - -argument)
- - negotiation
{
B DIF: Request/ QUF: Wh question / OPF: Assertion
(PS: Giving information/ AI: Justification - - argument)
A DIS: Giving information/ OPS: Reject + OPF: Assertion
(PS: Giving information/ AI: Justification - -argument)
}
- - decision
B DIS: Accept/ Deferral/ DIS: Reject
Figure 3: The structure of everyday negotiation (A makes a
proposal to B to do an action). The winding brackets
connect a part that can be repeated; round brackets connect
a part that can be missed; ’/’ separates alternatives; ‘+’
marks multifunctional acts; ’- -’ starts a comment.
The inner structure of arguments presented in
parliamentary negotiations needs an additional study.
An argument is made of three parts: a set of premises
representing the reason, a conclusion representing the
supported claim, and a link showing how the premises
lead to the conclusion (Amgoud et al., 2015).
However, the automatic recognition of DAs and
arguments in Estonian parliamentary discourse
remains for the further work.
The approach introduced in this research can be
applied also for the study of parliamentary
discussions in other languages where DAs are
annotated. It is challenging to compare the structure
of negotiations in order to draw conclusions about the
similarities and differences between the political
discussions in different countries and cultures.
5 CONCLUSIONS
Verbatim records of sittings of the Parliament of
Estonia were considered in the paper. This is a
How Do the Members of a Parliament Negotiate? Analysing Verbatim Records
333
preliminary study where two occasionally chosen
items are analysed one from 1992 when the
Parliament newly started its work after the restitution
of the Republic of Estonia, and another from 2018.
We established the general structure of the
discussions on both items (animal protection and
social care, respectively) and represented them by
using the dialogue acts of a custom-made typology.
We compared the two structures and concluded that
although they are similar, in 2018 the discussion was
much longer and more exhaustive. This is not
surprising because, first, a large number of new laws
had to be adopted in 90ties, and second, the
Parliament had rather little experience in legislation.
The structure of parliamentary negotiation has been
compared with the structure of everyday negotiation.
Still, we are aware that exhaustive analysis of more
empirical material is needed in order to draw general
inferences about the structure and changes in political
discussions.
The further work will be concentrated on the
automatic analysis of the structure of Estonian
parliamentary discussions and the recognition of
political arguments.
ACKNOWLEDGEMENTS
This work was supported by institutional research
funding IUT (20-56) of the Estonian Ministry of
Education and Research, and by the European Union
through the European Regional Development Fund
(Centre of Excellence in Estonian Studies).
REFERENCES
Abercrombie, G., Batista-Navarro, R. 2018. A Sentiment-
labelled Corpus of Hansard Parliamentary Debate
Speeches. In LREC 2018 Workshop ParlaCLARIN:
Creating and Using Parliamentary Corpora, 4347.
Amgoud, L., Besnard, P., Hunter, A. 2015. Logical
Representation and Analysis for RC-Arguments. In
IEEE 27th International Conference on Tools with
Artificial Intelligence (ICTAI), 104110.
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, Vol 38, No 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): 577605.
Bunt, H., Petukhova, V., Traum, D., Alexandersson, J.
2017. Dialogue Act Annotation with the ISO 24617-2
Standard. In D. Dahl (Ed.), Multimodal Interaction with
W3C Standards: Toward Natural User Interfaces to
Everything, Chapter 6, 109135.
Dispute, 2017. Dispute Resolution Reference Guide.
https://www.justice.gc.ca/eng/rp-pr/csj-sjc/dprs-sprd/
res/drrg-mrrc/03.html
Koit, M. 2016. Developing a Model of Agreement
Negotiation Dialogue. In A. Fred, J. Dietz, D. Aveiro,
K. Liu, J. Bernardino and J. Filipe (Eds). Proc. of 8th
International Joint Conference on Knowledge
Discovery, Knowledge Engineering and Knowledge
Management (KEOD), Vol. 2, 157−162. Portugal,
Porto.
Koondkorpus: Riigikogu https://keeleressursid.ee/et/
keeleressursid-cl-ut/korpused/83-article/clutee-lehed/
216-koondkorpus-riigikogu
Negotiation (What is Negotiation?). https://www.skillsyou
need.com/ips/negotiation.html
ParlaCLARIN 2018. https://www.clarin.eu/ParlaCLARIN
Riigikogu (Parliament of Estonia) https://www.
riigikogu.ee/en/
Sidnell, J. Stivers, T. (eds.), 2012. Handbook of
Conversation Analysis, Boston: Wiley-Blackwell.
Van Aggelen, A.E., Hollink, L., Kemman, M., Kleppe, M.,
Beunders, H. 2017. The debates of the European
Parliament as Linked Open Data. In Semantic Web
Interoperability, Usability, Applicability, Vol. 8, No. 2,
271281.
Venkata, S., Rohit, K., Navjyoti, S. 2018. Analysis of
Speeches in Indian Parliamentary Debates. In
Computer Science > Computation and Language
https://arxiv.org/abs/1808.06834
Vilares, D. 2017. Detecting Perspectives in Political
Debates. In Proceedings of Conference on Empirical
Methods in Natural Language Processing, 15731582.
Copenhagen, Denmark.
Working, 2017. CLARIN-PLUS Workshop "Working with
Parliamentary Records" https://www.clarin.eu/
event/2017/clarin-plus-workshop-working-
parliamentary-records
APPENDIX OVERVIEW OF THE
USED DIALOGUE ACT
TYPOLOGY
I. Adjacency Pair (AP) Acts
Dialogue Managing Acts
1. Conventional (ritual) acts (greeting, thanking,
etc.), e.g. RIF: Greeting, RIS: Greeting, RIF:
Wish, RIS: Thanking.
2. Topic change acts (are used to start a new topic or
sub-topic), e.g. TCF: Initiation, TCS: Accept.
3. Contact control acts (typically occur in phone
conversations and are used as formulas that can be
presented as lists), e.g. CCF: Initiation, CCS:
Confirmation).
KEOD 2019 - 11th International Conference on Knowledge Engineering and Ontology Development
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4. Adjusting the conditions of answer (ACF:
Adjusting the conditions of answer, ACS:
Adjusting the conditions of answer).
Repair Acts
5. Repairs initiated and made by different
participants, e.g. RPF: Non-understanding, RPS:
Repair.
Information Acts
6. Directives and grants (request, proposal, offer,
etc.), e.g. DIF: Request, DIS: Giving information.
7. Questions and answers, e.g. QUF: Wh-question,
QUS: Giving information.
8. Opinions and responses (assertion, opinion, etc.),
e.g. OPF: Assertion, OPS: Accept, OPS: Reject.
II. Non-Adjacency Pair (non-AP) Acts
Dialogue Managing Acts
1. Conventional (contact, call, etc.), e.g. RS:
Introduce.
Repair Acts
2. Repairs initiated and made by the same person, e.g.
RP: Self-repair.
Information Acts
3. Primary single acts (narration, promise, giving
information, etc.), e.g. PS: Giving information.
4. Additional information (specification,
explanation, justification, etc.), e.g. AI:
Specification.
5. Voluntary responses (continuer,
acknowledgement, etc.), e.g. VR: Neutral
continuer.
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