Argumentation Mining in User-Generated Web Discourse

The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers, multiple domains, and unrestricted noisy user-generated Web discourse. (ii) We bridge the gap between normative argumentation theories and argumentation phenomena encountered in actual data by adapting an argumentation model tested in an extensive annotation study. (iii) We create a new gold standard corpus (90k tokens in 340 documents) and experiment with several machine learning methods to identify argument components. We offer the data, source codes, and annotation guidelines to the community under free licenses. Our findings show that argumentation mining in user-generated Web discourse is a feasible but challenging task.Comment: Cite as: Habernal, I. & Gurevych, I. (2017). Argumentation Mining in User-Generated Web Discourse. Computational Linguistics 43(1), pp. 125-17

A literature survey of methods for analysis of subjective language

Subjective language is used to express attitudes and opinions towards things, ideas and people. While content and topic centred natural language processing is now part of everyday life, analysis of subjective aspects of natural language have until recently been largely neglected by the research community. The explosive growth of personal blogs, consumer opinion sites and social network applications in the last years, have however created increased interest in subjective language analysis. This paper provides an overview of recent research conducted in the area

Collective intelligence for OER sustainability

To thrive, the Open Educational Resource (OER) movement, or a given initiative, must make sense of a complex, changing environment. Since “sustainability” is a desirable systemic capacity that our community should display, we consider a number of principles that sharpen the concept: resilience, sensemaking and complexity. We outline how these motivate the concept of collective intelligence (CI), we give examples of what OER-CI might look like, and we describe the emerging Cohere CI platform we are developing in response to these requirements

From intersubjectivity to interculturalism in digital learning environments

The paper presents the work of the research program “Studies on\ud Intermediality as Intercultural Mediation” a joint international venture that seeks\ud to provide blended-learning -both online and in-classroom- methodologies for the\ud development of interculturalism and associated emotional empathic responses\ud through the study of art and literary fiction.1\ud Technological development is consistent with human desire to draw on\ud previous information and experiences in order to apply acquired knowledge to\ud present life conditions and, furthermore, make improvements for the future.\ud Therefore, it is logical that human agentive consciousness has been directed\ud towards encouraging action at a distance by all possible means. The evolution in\ud media technologies bears witness to this fact.\ud This paper explores the paradoxes behind the growing emphasis on spatial\ud metaphors during the 20th-century and a dynamic concept of space as the site of\ud relational constructions where forms and structural patterns become formations\ud constructed in interaction, and where the limit or border becomes a constitutive\ud feature, immanently connected with the possibility of its transgression. The paper\ud contends that the development of mass media communication, and particularly the\ud digital turn, has dramatically impacted on topographical spaces, both sociocultural and individual, and that the emphasis on „inter‟ perspectives, hybridism,\ud ambiguities, differences and meta-cognitive articulations of awareness of limits\ud and their symbolic representations, and the desire either to transgress limits or to\ud articulate „in-between‟, intercultural „third spaces‟, etc. are symptomatic of\ud structural problems at the spatial-temporal interface of culture and its\ud representations. Finally, the paper brings into attention research on the\ud neuroscientific basis of intersubjectivity in order to point out the material basis of\ud human knowledge and cognition and its relationship to the archiving of historical\ud memory and information transfer through education. It also offers and brief\ud introduction to the dynamics of SIIM

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past decade or so, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of relatively recent research topics that have arisen partly as a result of growing synergies between NLG and other areas of artificial intelligence; (c) draw attention to the challenges in NLG evaluation, relating them to similar challenges faced in other areas of Natural Language Processing, with an emphasis on different evaluation methods and the relationships between them.Comment: Published in Journal of AI Research (JAIR), volume 61, pp 75-170. 118 pages, 8 figures, 1 tabl

How to bring forth good social learning in teacher education through technology

A core theme of this context statement is the contribution that digital technology can make to social learning in online and face-to-face contexts. The work contributes to the field of educational technology across sectors, by considering some of the obstacles currently facing practitioners such as new curricula, new pedagogical approaches and the fast pace of change. I present a rationale for technology supporting social learning and discuss several significant themes, such as the role of learning communities in supporting the co-creation of knowledge, the pedagogic approaches that support computational thinking, digital literacy and mobile learning, and the potential of international projects and online courses to make purposeful connections between teachers and learners. Looking firstly with a distant lens at the forms of technology-enabled learning communities (TELCs) in my public works, and then with a closer lens at the interactions and behaviours within them, I present a characterisation of the learning landscape that involves a topology and typology of TELCs. These consist of five distinct forms of TELCs together with a set of five dualities that describe conditions for knowledge-building. This framework contributes towards an understanding of the epistemology of TELCs within the context of my public works. It offers descriptive and diagnostic tools for analysing the nature of learning, knowing and knowledge-building within TELCs, and demonstrates how some key variables are interrelated. As such, it has relevance to the design and evaluation of social online learning and makes a contribution to the debate around theories of learning in a digital age