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Multiturn dialogue models aim to generate human-like responses by leveraging conversational context, consisting of utterances from previous exchanges. Existing methods often neglect the interactions between these utterances or treat all of…

Computation and Language · Computer Science 2025-04-15 Akanksha Mehndiratta , Krishna Asawa

Human dialogues are scenario-based and appropriate responses generally relate to the latent context knowledge entailed by the specific scenario. To enable responses that are more meaningful and context-specific, we propose to improve…

Computation and Language · Computer Science 2020-10-07 Shaoxiong Feng , Xuancheng Ren , Hongshen Chen , Bin Sun , Kan Li , Xu Sun

We outline how utterances in dialogs can be interpreted using a partial first order logic. We exploit the capability of this logic to talk about the truth status of formulae to define a notion of coherence between utterances and explain how…

Computation and Language · Computer Science 2007-05-23 Bernd Ludwig , Guenther Goerz , Heinrich Niemann

In our world with full of uncertainty, debates and argumentation contribute to the progress of science and society. Despite of the increasing attention to characterize human arguments, most progress made so far focus on the debate outcome,…

Computation and Language · Computer Science 2020-02-11 Jichuan Zeng , Jing Li , Yulan He , Cuiyun Gao , Michael R. Lyu , Irwin King

Shared artifacts and environments play a prominent role in shaping the collaboration between their users. This article describes this role and explains how annotations can provide a bridge between direct communication and collaboration…

Human-Computer Interaction · Computer Science 2012-11-14 Syavash Nobarany

We present an empirical study aimed at analysing the use of viewpoints in an industrial Concurrent Engineering context. Our focus is on the viewpoints expressed in the argumentative process taking place in evaluation meetings. Our results…

Other Computer Science · Computer Science 2016-08-16 Géraldine Martin , Françoise Détienne , Elisabeth Lavigne

Argumentation is a process of evaluating and comparing a set of arguments. A way to compare them consists in using a ranking-based semantics which rank-order arguments from the most to the least acceptable ones. Recently, a number of such…

Artificial Intelligence · Computer Science 2016-02-03 Elise Bonzon , Jérôme Delobelle , Sébastien Konieczny , Nicolas Maudet

Many annotation tasks in natural language processing are highly subjective in that there can be different valid and justified perspectives on what is a proper label for a given example. This also applies to the judgment of argument quality,…

Computation and Language · Computer Science 2025-03-03 Philipp Heinisch , Matthias Orlikowski , Julia Romberg , Philipp Cimiano

Meeting summarization is a challenging task due to its dynamic interaction nature among multiple speakers and lack of sufficient training data. Existing methods view the meeting as a linear sequence of utterances while ignoring the diverse…

Computation and Language · Computer Science 2021-05-20 Xiachong Feng , Xiaocheng Feng , Bing Qin , Xinwei Geng

Current approaches to the annotation process focus on annotation schemas, languages for annotation, or are very application driven. In this paper it is proposed that a more flexible architecture for annotation requires a knowledge component…

Digital Libraries · Computer Science 2007-05-23 Afzal Ballim , Nastaran Fatemi , Hatem Ghorbel , Vincenzo Pallotta

Abstractive dialogue summarization is to generate a concise and fluent summary covering the salient information in a dialogue among two or more interlocutors. It has attracted great attention in recent years based on the massive emergence…

Computation and Language · Computer Science 2023-08-08 Qi Jia , Yizhu Liu , Siyu Ren , Kenny Q. Zhu

While multi-party conversations are often less structured than monologues and documents, they are implicitly organized by semantic level correlations across the interactive turns, and dialogue discourse analysis can be applied to predict…

Computation and Language · Computer Science 2021-10-12 Zhengyuan Liu , Nancy F. Chen

Citation recommendation aims to locate the important papers for scholars to cite. When writing the citing sentences, the authors usually hold different citing intents, which are referred to citation function in citation analysis. Since…

Information Retrieval · Computer Science 2025-01-31 Shutian Ma , Chengzhi Zhang , Heng Zhang , Zheng Gao

Humans do not make inferences over texts, but over models of what texts are about. When annotators are asked to annotate coreferent spans of text, it is therefore a somewhat unnatural task. This paper presents an alternative in which we…

Computation and Language · Computer Science 2020-03-03 Rahul Aralikatte , Anders Søgaard

When people converse about social or political topics, similar arguments are often paraphrased by different speakers, across many different conversations. Debate websites produce curated summaries of arguments on such topics; these…

Computation and Language · Computer Science 2018-01-29 Amita Misra , Brian Ecker , Marilyn A. Walker

Particularly in the structure of global discourse, coherence plays a pivotal role in human text comprehension and is a hallmark of high-quality text. This is especially true for persuasive texts, where coherent argument structures support…

Computation and Language · Computer Science 2025-02-13 Christopher van Le

How can we model arguments and their dynamics in online forum discussions? The meteoric rise of online forums presents researchers across different disciplines with an unprecedented opportunity: we have access to texts containing discourse…

Social and Information Networks · Computer Science 2024-07-04 Arman Irani , Michalis Faloutsos , Kevin Esterling

In this paper we provide a first analysis of the research questions that arise when dealing with the problem of communicating pieces of formal argumentation through natural language interfaces. It is a generally held opinion that formal…

Artificial Intelligence · Computer Science 2017-06-14 Federico Cerutti , Alice Toniolo , Timothy J. Norman

Most people participate in meetings almost every day, multiple times a day. The study of meetings is important, but also challenging, as it requires an understanding of social signals and complex interpersonal dynamics. Our aim this work is…

Applications · Statistics 2013-06-11 Been Kim , Cynthia Rudin

This paper presents a computational model of how conversational participants collaborate in order to make a referring action successful. The model is based on the view of language as goal-directed behavior. We propose that the content of a…

cmp-lg · Computer Science 2008-02-03 Peter A. Heeman , Graeme Hirst