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Natural Language Argumentation Mining, Processing, and Reasoning over Textual Arguments Schloss Dagstuhl, 1822 April 2016 1 Organizers Elena Cabrio University of Nice Sophia Antipolis 2 Organizers Elena Cabrio Serena Villata

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Natural Language Argumentation Mining, Processing, and Reasoning

  • ver Textual Arguments

Schloss Dagstuhl, 18–22 April 2016

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Organizers

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Elena Cabrio

University of Nice Sophia Antipolis

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Organizers

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Elena Cabrio

University of Nice Sophia Antipolis

Serena Villata

CNRS

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Organizers

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Graeme Hirst

University of Toronto

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Adam Wyner

University of Aberdeen

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The schedule

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SLIDE 7 Monday 18 April Tuesday 19 April Wednesday 20 April Thursday 21 April Friday 22 April 8:50–10:20
  • 1. Introduction
  • 5. Legal Argumentation
  • 9. From natural language to formal models of argumentati
  • 11. Argumentation and humans
  • 15. Discussion
  • Introduction.
  • Tony Hunter , tutorial: Structured argumentation.
Chair: Francesca Toni
  • Vern Walker: The need for annotated corpora from
legal documents, and for (human) protocols for creating them: The attribution problem
  • Michał Araszkiewicz : Case-based reasoning structures
in statutory interpretation
  • Leon van der Torre : Norms and arguments
  • Kevin Ashley : Putting argument mining to work: an
experiment in legal argument retrieval using the LUIMA type system and pipeline Chair: Nancy Green [18-min talks]
  • Pietro Baroni , Massimiliano Giacomin, and Beishui
Liao: Uncertainty and fuzziness from natural language to argumentation models
  • Adam Wyner , Anthony Hunter, and Tom Van Engers :
Working on the argument pipeline: Through flow issues between natural language argument, instantiated arguments, and argumentation frameworks
  • Leila Amgoud, Philippe Besnard, and Anthony Hunter:
Logical representation and analysis for RC-arguments
  • Federico Cerutti : Interfaces to formal argumentation
  • Francesca Toni : Towards relation-based argumentation
mining Chair: Smaranda Muresan
  • Fabio Paglieri : A plea for sustainable argument
technologies
  • Katarzyna Budzynska : Mining dialogical arguments and
ethos
  • Serena Villata : Emotions and personality traits in
argumentation: An empirical evaluation
  • Ariel Rosenfeld and Sarit Kraus : Strategical
argumentative agent for human persuasion: A preliminary report Issues, challenges, ideas, prospects, next steps. 10:20–10:35 Coffee break Coffee break Coffee break Coffee break Coffee break 10:35:12:15 2. Tutorials
  • 6. Argument mining and the Web
  • 10. Unshared Untask, session III
  • 12. Argument mining for writing support
  • 16. Discussion; closing
  • Claire Cardie , turorial: Sentiment and argument
mining.
  • Questions and discussions (both tutorials).
Chair: Laura Alonso Alemany
  • Henning Wachsmuth and Benno Stein : "PageRank" for
argument relevance
  • Giorgos Flouris, Antonis Bikakis, Theodore Patkos and
Dimitris Plexousakis : Argument extraction challenges in a new web paradigm
  • Smaranda Muresan : Argumentation mining in online
interactions: Opportunities and challenges
  • Elena Cabrio : Tweeties squabbling: Argument mining
  • n social media
Access dataset III for each group. Discuss, analyse, and take notes. Chair: Simone Teufel
  • Christian Stab and Iryna Gurevych : Argumentative
writing support: structure identification and quality assessment of arguments
  • Diane Litman : Temporal argument mining for writing
assistance
  • Robert Mercer: Locating and extracting key
components of argumentation from scholarly scientific writing
  • Nancy Green : On recognizing argumentation schemes
in formal text genres Issues, challenges, ideas, prospects, next steps. 12:15–13:30 Lunch Lunch Lunch Lunch Lunch 13:30–15:30 3. Argument mining
  • 7. Unshared Untask, session II
  • 13. Unshared Untask, plenary wrap-up
Chair: Jodi Schneider
  • Andreas Peldszus and Manfred Stede : Joint prediction
in MST-style discourse parsing for argumentation mining
  • Patrick Saint-Dizier : Argument mining: The bottleneck
  • f knowledge
  • Vincent Ng : Experiments on under-studied
argumentation mining tasks: Argument strength scoring and reason classification
  • Orith Toledo-Ronen, Roy Bar-Haim and Noam Slonim:
Expert stance graphs for computational argumentation
  • Mark Snaith, John Lawrence and Chris Reed : Mining
arguments and protocols [presented by Katarzyna Budzynska ] Access dataset II for each group. Discuss, analyse, and take notes. Discussion with all groups about the data, the notes, and a preliminary sketch of the paper. 15:30–16:00 Coffee and cake Coffee and cake Coffee and cake 16:00–17:40 4. Unshared Untask, session I
  • 8. Argumentation mining: other applications
  • 14. By request
Ival Habernal and Adam Wyner — Introduction. Formation of groups. Access dataset I for each group. Discuss, analyse, and take notes. Chair: Claire Cardie
  • Graeme Hirst and Nona Naderi: Crowdsourced and
expert annotations for argument frame discovery
  • Jan Šnajder : Social media argumentation mining: The
quest for deliberateness in raucousness
  • Jodi Schneider and Richard D. Boyce : Medication safety
as a use case for argumentation mining
  • Rizkiyanto, Courtney Schriek, Jan Martijn van der Werf
and Floris Bex : Design reasoning and design rationale Chair: Elena Cabrio This session is reserved for extra talks, new ideas, and discussions that any participant may initiate. If you'd like some time in this session, please ask Elena. 18:00–19:00 Dinner Dinner Dinner Dinner Excursion to TBD

Dagstuhl seminar 16161 — Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments — 18–22 April 2016 Revised 2016-04-17

Except where noted, all talks are 20 minutes, including questions, leaving 10–20 minutes at the end of the session for more questions and general discussion. Chairs will be asked to enforce time limits without favour or mercy!
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The schedule

  • Four sessions, starting 8.50 daily.
  • Meal and break times set by Dagstuhl.
  • Finish with lunch on Friday.
  • Box lunches available for early departures.
  • Wednesday afternoon excursion (optional).

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The schedule

  • Two tutorials.
  • UnShared UnTask (four sessions).
  • Seven sessions for talks and discussion.
  • One “by request” session.
  • Two all-discussion sessions.

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Evenings

  • Evenings free for discussion, walks in the

woods, etc.

  • Refreshments at about 20:00 in lounge /

aufenthaltsraum (006).

  • Suggestions for evening events?

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Wednesday excursion

  • Vote for destination: 


Völklinger Hütte or Mettlach

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Völklinger Hütte

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Völklinger Hütte

  • Ironworks, 1881–1986, now museum
  • UNESCO Heritage Site
  • Extensive contemporary gardens
  • Technology, rust, botany!
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Mettlach

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Mettlach

  • Cloef lookout point over the Saar loop.
  • Villeroy & Boch — museum, shop, “experience

centre”, guided tour.

  • Small (modern) brewery.
  • Birkenstock outlet centre.
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Wednesday excursion

  • Völklinger Hütte

– 20 people ⇒ €45, 30 people ⇒ €35


(bus, entrance fee, guided tour (max 30 people)).

  • Mettlach

– 20 people ⇒ €23, 30 people ⇒ €15 (bus only).


V&B museum €4, plus €4–6 for tour (max 25 people).

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UnShared UnTask

  • If you have not received a Google Drive

invitation to collaborate this morning, we need your e-mail address.

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Dagstuhl Reports

  • Collector: Alexis Palmer.
  • Will need your abstract soon after the

seminar

– LaTeX source. – To be submitted via Dagstuhl Reports website.

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Administrative details

  • Do not cite or quote pre-submissions.
  • Sign your book in the library (always open).
  • Computers and printers in labs.
  • Wine, supplies, etc: Take what you want, pay
  • n check-out.
  • Check out and pay on Friday before lunch.
  • Taxis can be arranged for departure.

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Natural Language Argumentation Mining, Processing, and Reasoning

  • ver Textual Arguments

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Natural Language Argumentation Mining, Processing, and Reasoning

  • ver Textual Arguments

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Natural Language Argumentation Mining, Processing, and Reasoning

  • ver Textual Arguments

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Natural Language Argumentation Mining, Processing, and Reasoning

  • ver Textual Arguments

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Natural Language Argumentation Mining, Processing, and Reasoning

  • ver Textual Arguments

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Goals

What are we here for?

  • To understand better the specific kinds of

tasks that NLP can carry out in argumentation.

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Goals

Interdisciplinarity

  • To build more connections between the

research communities in NLP who work on argumentation and those in AI and formal argumentation theory.

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Goals

Domain-specificity

  • To understand better how computational

argumentation tasks are tied, or not, to their specific domains …

… such as scientific papers, legal argumentation, political discussions, and mathematical proofs (qua arguments) …

… looking for new cross-domain generalizat- ions.

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Goals

Domain-specificity

  • To establish a set of domain-specific and

cross-domain use-cases that will guide the direction of research in the field.

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Goals

Understand the challenges

  • To understand better the technical challenges

to success in each of these tasks, and to discuss how the challenges can be addressed.

  • To develop and explicate specific challenge

problems for the integration of argumentation theory and NLP …

… that are beyond the state of the art (but not too much so), and in which success would have the greatest effect on the field.

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Goals

Start to solve the problems

  • To propose preliminary solutions to open

challenges in textual argumentation …

… including: argument retrieval in text, argument summarization, identification of semantic relations among arguments, …

… and to outline follow-on development.

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Tangible results

  • Dagstuhl reports
  • A book, a paper, …??

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