no code implementations • COLING (CODI, CRAC) 2022 • Zlata Kikteva, Kamila Gorska, Wassiliki Siskou, Annette Hautli-Janisz, Chris Reed
Building on the recent results of a study into the roles that are played by questions in argumentative dialogue (Hautli-Janisz et al., 2022a), we expand the analysis to investigate a newly released corpus that constitutes the largest extant corpus of closely annotated debate.
no code implementations • LREC 2022 • Annette Hautli-Janisz, Zlata Kikteva, Wassiliki Siskou, Kamila Gorska, Ray Becker, Chris Reed
Broadcast political debate is a core pillar of democracy: it is the public’s easiest access to opinions that shape policies and enables the general public to make informed choices.
no code implementations • NLPerspectives (LREC) 2022 • Annette Hautli-Janisz, Ella Schad, Chris Reed
For a highly subjective task such as recognising speaker intention and argumentation, the traditional way of generating gold standards is to aggregate a number of labels into a single one.
no code implementations • 22 Feb 2024 • Ramon Ruiz-Dolz, Joaquin Taverner, John Lawrence, Chris Reed
Some of the major limitations identified in the areas of argument mining, argument generation, and natural language argument analysis are related to the complexity of annotating argumentatively rich data, the limited size of these corpora, and the constraints that represent the different languages and domains in which these data is annotated.
1 code implementation • Findings (EMNLP) 2021 • Yohan Jo, Haneul Yoo, JinYeong Bak, Alice Oh, Chris Reed, Eduard Hovy
Finding counterevidence to statements is key to many tasks, including counterargument generation.
1 code implementation • 17 May 2021 • Yohan Jo, Seojin Bang, Chris Reed, Eduard Hovy
While argument mining has achieved significant success in classifying argumentative relations between statements (support, attack, and neutral), we have a limited computational understanding of logical mechanisms that constitute those relations.
1 code implementation • EMNLP 2020 • Yohan Jo, Seojin Bang, Emaad Manzoor, Eduard Hovy, Chris Reed
Finding attackable sentences in an argument is the first step toward successful refutation in argumentation.
1 code implementation • EMNLP 2020 • Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy
Our study may inform future research on argument mining and the semantics of these rhetorical devices in argumentation.
no code implementations • LREC 2020 • Yohan Jo, Elijah Mayfield, Chris Reed, Eduard Hovy
We introduce a corpus of the 2016 U. S. presidential debates and commentary, containing 4, 648 argumentative propositions annotated with fine-grained proposition types.
no code implementations • CL 2019 • John Lawrence, Chris Reed
Argument mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language.
no code implementations • WS 2019 • John Lawrence, Jacky Visser, Chris Reed
Understanding the inferential principles underpinning an argument is essential to the proper interpretation and evaluation of persuasive discourse.
no code implementations • WS 2019 • Yohan Jo, Jacky Visser, Chris Reed, Eduard Hovy
Propositions are the basic units of an argument and the primary building blocks of most argument mining systems.
no code implementations • ACL 2019 • Debela Gemechu, Chris Reed
The entities addressed by a proposition are target concepts and the features selected to make a point about the target concepts are aspects.
no code implementations • ACL 2019 • Katarzyna Budzynska, Chris Reed
This course aims to introduce students to an exciting and dynamic area that has witnessed remarkable growth over the past 36 months.
no code implementations • WS 2017 • John Lawrence, Chris Reed
In this paper we consider the insights that can be gained by considering large scale argument networks and the complex interactions between their constituent propositions.
no code implementations • WS 2017 • John Lawrence, Chris Reed
These statements are then used to produce a matrix representing the inferential relationship between different aspects of the topic.
no code implementations • 3 Feb 2017 • Jaimie Murdock, Colin Allen, Katy Börner, Robert Light, Simon McAlister, Andrew Ravenscroft, Robert Rose, Doori Rose, Jun Otsuka, David Bourget, John Lawrence, Chris Reed
We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research.
no code implementations • LREC 2016 • Mathilde Janier, Chris Reed
Dispute mediation is a growing activity in the resolution of conflicts, and more and more research emerge to enhance and better understand this (until recently) understudied practice.
no code implementations • LREC 2016 • Barbara Konat, John Lawrence, Joonsuk Park, Katarzyna Budzynska, Chris Reed
Governments are increasingly utilising online platforms in order to engage with, and ascertain the opinions of, their citizens.
no code implementations • LREC 2014 • Kasia Budzynska, Mathilde Janier, Chris Reed, Patrick Saint-Dizier, Manfred Stede, Olena Yakorska
In this paper, we briefly present the objectives of Inference Anchoring Theory (IAT) and the formal structure which is proposed for dialogues.