We’re delighted that our survey of the field of Argument Mining is just out with Computational Linguistics. It provides the most up-to-date review currently accessible and is available now online.
Abstract. Argument Mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural language. Understanding argumentative structure makes it possible to determine not only what positions people are adopting, but also why they hold the opinions they do, providing valuable insights in domains as diverse as financial market prediction and public relations. This paper explores the techniques that establish the foundations for argument mining, provides a review of recent advances in argument mining techniques, and discusses the challenges faced in automatically extracting a deeper understanding of reasoning expressed in language in general.
On Monday 17th June, Chris is addressing the Parliamentary & Scientific Committee at Westminster at its monthly meeting which this month is dedicated to the theme of Fake News. He’ll be talking on what fake news isn’t as well as what it is — and the consequences for what can be done.
Following our work delivering tutorials at IJCAI2016, ACL2016 and ESSLLI2017, Chris Reed and Katarzyna Budzynska are this year delivering a tutorial at ACL2019 in Florence on Sunday, 28 July.
We will be focusing on argument mining, and given that it is such a fast moving area, the way in which the field has been shaped by advances over the past three years.
The tutorial has its own dedicated website at arg.tech/acl2019tut
If you have any queries, please do not hesitate to contact the tutors — and we hope to see you in Florence in August.
Henrique Lopes Cardoso is visiting us this week from the University of Porto Dept of Informatics Engineering to develop our collaboration around argument mining. He today gave us a short introduction to the exciting work at Porto on argument mining and related themes and will be working over the coming ten days with IAT and our infrastructure, and meeting with members of the team.
We’re excited to announce that we’ve been successful in a recent Defence and Security Accelerator programme run by the Defence Science & Technology Laboratory.
The way that an individual engages in dialogue is as unique to them as their fingerprint. So can we automatically identify individuals from their discourse behaviour? This is the idea now being implemented in our Dialogical Fingerprinting work with DSTL. Work starts today and preliminary results will be available for public release towards the end of the year.
We’re delighted to welcome Bonnie Webber here today: she’ll be talking to us about her work on discourse annotation and the new PDTB amongst other things, and we’ll then be looking at connections between PDTB and IAT. If you’d like to join the discussion in East lab, just fire an email to email@example.com.
Chris has been appointed to the Scientific Advisory Board of ContactEngine, the London based AI tech company that supports new models of customer engagement. ContactEngine have put out a press release.
Kevin Wiesmüller from the Digital Peace Talks Foundation joins our visitor program for the next few weeks to work on automatic processing and visualition of argument & debate.
London AI company ContactEngine recently invited Chris Reed to give an interview on AI and argument mining. They work on introducing AI into the conversations that corporates have with their customers, and have a series of interviews exploring new horizons. The interview has just been published, and is accompanied by a blog article from Mark Smith, their CEO.
Chris Reed is in San Francisco today to provide reaction to the launch (or ‘sneak preview’) of IBM’s Project Debater. You can find out more in a blog post by the head of IBM Research, Arvind Krishna, and in articles reporting the event in (amongst others) The Guardian, The Financial Times, BBC News, Wired magazine, The New York Times, Venturebeat, CNET, on radio with NPR and on the TV with CBS in the US and on BBC Breakfast in the UK.