Search Results for author: Chris Reed

Found 23 papers, 4 papers with code

The Keystone Role Played by Questions in Debate

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.


Disagreement Space in Argument Analysis

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.

QT30: A Corpus of Argument and Conflict in Broadcast 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.

Argument Mining

Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes

1 code implementation17 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.

Argument Mining Representation Learning

Extracting Implicitly Asserted Propositions 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.

Argument Mining

Detecting Attackable Sentences in Arguments

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.

BIG-bench Machine Learning

Machine-Aided Annotation for Fine-Grained Proposition Types 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.

BIG-bench Machine Learning

Argument Mining: A Survey

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.

Argument Mining Natural Language Understanding +1

A Cascade Model for Proposition Extraction in Argumentation

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.

Argument Mining Text Segmentation

An Online Annotation Assistant for Argument Schemes

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.

Decompositional Argument Mining: A General Purpose Approach for Argument Graph Construction

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.

Argument Mining graph construction

Advances in Argument Mining

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.

Argument Mining Opinion Mining +1

Using Complex Argumentative Interactions to Reconstruct the Argumentative Structure of Large-Scale Debates

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.

Argument Mining Decision Making

Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library

no code implementations3 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.

General Classification Philosophy +1

Corpus Resources for Dispute Mediation Discourse

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.

A Corpus of Argument Networks: Using Graph Properties to Analyse Divisive Issues

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.

Argument Mining

A Model for Processing Illocutionary Structures and Argumentation in Debates

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.

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