Machine Learning Methods for Personalised, Abstractive Summarisation of Consumer-Generated Media

Lead Research Organisation: University of Sheffield
Department Name: Computer Science

Abstract

The success of Web 2.0 and CGM is based on tapping into the social nature of human interactions, by making it possible for people to voice their opinion, become part of a virtual community and collaborate remotely. If we take micro-blogging as an example, the growth in Twitter visits between 2008 and 2009 was over 1,000% and it is projected that by 2010 around 10% of all internet users will be on Twitter. This unprecedented rise in the volume and importance of online content has resulted in companies and individuals spending ever increasing amounts of time trying to keep up with relevant CGM. It is estimated that 700 person hours per year is the absolute minimum that companies and public services need to spend on CGM monitoring, online user engagement, and discovery of new information. This fellowship is about helping people to cope with the resulting information overload, through automatic methods that are capable of adapting to individual's information seeking goals and summarising briefly the relevant media and thus supporting information interpretation and decision making. Automatic text summarisation is key to our goal and consists of compressing the meaning of text documents while preserving the relevant information contained within them. While there has been a lot of research on well-authored texts such as news, summarisation of social media is still in its infancy, with research focused on product reviews. A key experimental finding has been that due to the characteristics of social media (product reviews in particular) it is better first to abstract the relevant information from the different documents and sites and then to use natural language generation to create a fluent text based on this information.In this fellowship I will investigate and evaluate new machine learning methods for personalised, abstractive multi-document summarisation across different social media. For example, diachronic summaries that combine Twitter posts, blog articles, and Facebook wall messages on a given topic. In contrast to previous work, we will pursue an inter-disciplinary approach, which will help us study the social dimension of CGM summarisation and establish actual user needs. The second research challenge is that the algorithms need to be robust in the face of this noisy, jargon-full and dynamic content, as well as needing models capable of representing the contradictory and strongly temporal nature of CGM. A key novel contribution of our work is personalising the summaries, based on a model of user interests, goals, and social context. Issues such as trustworthiness, privacy, and online communities (with their hubs and authorities) will also play an important role. The fourth research challenge is to generate personalised abstractive summaries that can help users with sensemaking and content interpretation. An exciting element of my research will be in studying the different kinds of summaries that are useful for a variety of real users (companies, journalists, and the general public) through multi-disciplinary collaborations with the Press Association, British Telecom, the Oxford Internet Institute, and Sheffield's Department of Journalism. A key project deliverable will be a publicly available browser plugin that provides easy access to the automatically generated summaries. This will allow me to evaluate the project results with real users, on a large scale. It will also provide a new evaluation challenge for the Natural Language Generation community, as researchers will be able to compare their summarisers against those delivered by our open-source algorithms. Last but not least, the fellowship covers not only foundational multi-disciplinary research but it also tests the results in several Digital Economy pilot experiments involving commercial partners (The Press Association, British Telecom, Fizzback).

Planned Impact

Since consumer-generated media have revolutionised our personal lives, the economy, and society as whole, this research has wide-ranging implications and relevance. The five year duration of this fellowship will give us the necessary flexibility, time and resources to undertake dissemination, exploitation, and training activities aimed at the multiple beneficiaries detailed below. Firstly, in order to achieve maximum impact, project results will be made open-source, which will include both computational algorithms and the data collections on which they were tested and evaluated. Having open-source results is needed not only because we aim to create an active research community around the project results, but also since we want to promote use by non-governmental organisations, educational institutions, and other non-profit users. Another important project result will be a free tool to help users become aware of the dangers of social media and allow them to monitor continuously what is being disclosed about them online (by themselves, family, and friends). In terms of economic impact, we will target: (i) the areas used as Digital Economy pilots, namely digital journalism, voice-of-the-customer service providers, and online brand, product, and reputation management; (ii) companies providing internet privacy and security services; (iii) companies providing product comparison services to consumers. Major beneficiaries are the Digital Economy sectors identified above. In addition to the project partners (BT, PA, Fizzback, and Nokia), through UK and international research projects the PI has built successful industrial collaborations with other large companies (Yahoo, Atos, Dassault Aviation, Elsevier, MPS Bank, Creditreform, NetInfo) and SMEs (Garlik, Innovantage, Ontotext, Matrixware, Mondeca, Ontoprise, ISOCO), where our previous research showed the potential of intelligent summarisation technology for knowledge management and business intelligence. Further knowledge transfer opportunities arise through the Sheffield University connections to the digital and new media industries in the Sheffield city region, which are growing at a faster rate than anywhere else in the UK in terms of specialist companies and new jobs. A unique opportunity arises also from the 100m South Yorkshire Digital Region project, which will pilot the Next Generation Broadband and thus provide the required infrastructure for advanced digital economy applications. The research proposed here also has significant societal relevance. The first dimension is user privacy and trust, which are an important element of our work. We plan to promote the new technology to users and companies with identity theft products (e.g. Garlik, with whom we have worked in the past), in order to help people with tracking personal data divulged on public web sites and social networks. This research is relevant to policies such as: Digital Britain, EU's e2010, Global Focus on ICT in Development. We will reach out towards policy makers through the new UK Ethical ICT and young people stakeholder group and through Sheffield's Digital World outreach activities. Last, but not least, this fellowship will impact significantly the research careers of all team members. It will provide the PI with the unique opportunity to realise a step-change in her career, in order to join the 7% of female grade A staff in engineering and technology. The inter-disciplinary nature of our research team will help researchers to gain knowledge of fields complementary to their primary expertise and to develop new cross-disciplinary research skills. The PhD students will gain transferable research and presentation skills and be prepared for post-doctoral positions in academic or applied research.

Publications

10 25 50
 
Description The research has focused on analysing and summarising large-volume, high velocity social media content, e.g. during election campaigns. A number of open-source software tools and datasets have been developed and made available for reuse. Successful collaborations and follow-up projects have been established, alongside a set of high profile impact outcomes around analysing online misinformation and fake news.
Exploitation Route Citations of the scientific publications; use of the software tools and datasets created; reports on the work by media organisations; take-up by companies and associated consulting opportunities.
Sectors Digital/Communication/Information Technologies (including Software)

 
Description The highest impact work has been the research on analysing tweets in the run up to the May 2016 General Elections in the UK, in collaboration with Nesta, as part of the Political Futures Tracker project. Subsequently, this lead to further work on analysing topics in tweets on the EU membership referendum (ako Brexit), which was reported on by BuzzFeed UK and the Daily Mail. The collaboration with Buzzfeed UK then continued around analysing Twitter abuse towards UK politicians in the run up to the 2017 general election, followed by the most recent work on uncovering a network directly connected to the Russia-linked accounts Twitter submitted to US Congress in November 2017. In December 2017 I gave oral evidence at the UK DCMS parliamentary committee enquiry on fake news. In Jan 2018 I submitted written evidence to the EC public consultation on fake news, followed by written evidence for the DCMS enquiry and the Singapore Select Committee on Deliberate Online Falsehoods. In March 2018 I will attend an invitation only Wilton Park workshop on Computational propaganda.
First Year Of Impact 2015
Sector Digital/Communication/Information Technologies (including Software)
Impact Types Societal,Economic,Policy & public services

 
Description Public Witness at Enquiry on Fake News by the UK Digital, Culture, Media and Sport Parliamentary Committee
Geographic Reach National 
Policy Influence Type Gave evidence to a government review
URL http://data.parliament.uk/writtenevidence/committeeevidence.svc/evidencedocument/digital-culture-med...
 
Description DecarboNet
Amount € 401,593 (EUR)
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 10/2013 
End 09/2016
 
Description EnviLOD
Amount £55,816 (GBP)
Organisation Jisc 
Sector Public
Country United Kingdom
Start 10/2012 
End 04/2013
 
Description GATE Cloud Exploratory: Adapting the General Architecture for Text Engineering to Cloud Computing
Amount £71,677 (GBP)
Funding ID EP/I034092/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Academic/University
Country United Kingdom
Start 01/2011 
End 09/2011
 
Description H2020-INFRAIA-2014-2015
Amount € 986,125 (EUR)
Organisation European Commission 
Department Horizon 2020
Sector Public
Country European Union (EU)
Start 09/2015 
End 08/2019
 
Description Horizon 2020 COMRADES
Amount € 321,250 (EUR)
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 01/2016 
End 12/2018
 
Description Horizon 2020 KNOWMAK
Amount € 249,750 (EUR)
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 01/2017 
End 12/2019
 
Description PHEME
Amount € 2,916,000 (EUR)
Funding ID No. 611233 
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 01/2014 
End 12/2016
 
Description TrendMiner
Amount € 621,707 (EUR)
Organisation European Commission 
Sector Public
Country European Union (EU)
Start 11/2011 
End 10/2014
 
Description uComp: Embedded Human Computation for Knowledge Extraction and Evaluation
Amount £375,621 (GBP)
Funding ID EP/K017896/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Academic/University
Country United Kingdom
Start 11/2012 
End 11/2015
 
Description Buzzfeed UK - Analysis of misinformation and political abuse on Twitter during the UK EU membership referendum and the 2017 General Election 
Organisation BuzzFeed, Inc.
PI Contribution Analysed topics, voting intentions, online abuse, and suspected bot accounts:
Collaborator Contribution They did manual post-analysis of the data and data visualisations, for presentation to general readers.
Impact - https://www.buzzfeed.com/jamesball/3-million-brexit-tweets-reveal-leave-voters-talked-about-imm? - https://www.buzzfeed.com/tomphillips/twitter-abuse-of-mps-during-the-election-doubled-after-the - https://www.buzzfeed.com/tomphillips/we-found-45-suspected-bot-accounts-sharing-pro-trump-pro
Start Year 2016
 
Description Collaboration with Asimina Vasilau, University of Birmingham 
Organisation University of Birmingham
Country United Kingdom 
Sector Academic/University 
PI Contribution Collaboration around analysis and summarisation of privacy issues discussed in social media
Start Year 2012
 
Description Collaboration with British Library on their Envia project 
Organisation The British Library
Country United Kingdom 
Sector Public 
PI Contribution ? A short feasibility study for the British Library?s Envia project, around use of text mining to improve the quality of metadata in their Envia digital library of environmental science content. A bid for short follow-up collaborative project has been submitted to the JISC Digital Infrastructure programme .
Start Year 2011
 
Description Collaboration with British Telecom 
Organisation BT Group
Country United Kingdom 
Sector Private 
PI Contribution Cllaboration around next-generation business intelligence and trend tracking in social media. In the final year of the project, once the CGM summarisation algorithms are mature and tested, we will work together on using these to analyse information from micro-blogs and forums, in order to improve customer relationship management.
Start Year 2010
 
Description Collaboration with Fizzback 
Organisation Fizzback
Country United Kingdom 
Sector Private 
PI Contribution Fizzback provide customer engagement services to UK companies in transport, communications, and retail. In the forth project year, we will implement a DE pilot to study summarisation of customer feedback on transport services, received through noisier channels such as text messages and Twitter.
Start Year 2010
 
Description Collaboration with Ontotext 
Organisation Ontotext
Country Bulgaria 
Sector Private 
PI Contribution Ontotext is a Bulgarian SME specialising in semantic technology. I have been collaborating with them around the challenge of using Linked Data and their award-winning OWLIM semantic repository as knowledge sources for the CGM text mining and summarisation algorithms.
Start Year 2010
 
Description Collaboration with Rob Procter, Univ. of Warwick 
Organisation University of Warwick
Country United Kingdom 
Sector Academic/University 
PI Contribution The open-source social media analysis and summarisation tools
Collaborator Contribution Qualitative studies of social media and annotated datasets
Impact Workshop co-organised at WWW'2015. Multidisciplinary collaboration with computational social science researchers
Start Year 2013
 
Description Collaboration with the NTAP project (http://ntap.no/) 
Organisation University of Bergen
Country Norway 
Sector Academic/University 
PI Contribution The NTAP project is developing methods and tools to detect, analyse and visualize the distribution, flow and development of knowledge and opinions across online social networks. This is a collaboration between the Department of Information Science and Media Science at the University of Bergen and Uni Computing, a department in Uni Research (a university-owned research company); the project has several international and industrial partners. NTAP is funded by the Norwegian Research Council, VERDIKT program, and runs from January 2012 ? July 2015.
Start Year 2013
 
Description Collaboration with the Oxford Internet Institute (OII) 
Organisation University of Oxford
Department Oxford Internet Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution I am collaborating with social scientists from the OII, due to their expertise in social network analysis, trust and privacy, and visualising online networks. We work together on using these to build models of users? digital identity, based on information disclosed by them in social media. Our current focus is on geo-locating wikipedia contributors and twitter users.
Start Year 2010
 
Description Collaboration with the Press Association 
Organisation Press Association
Country United Kingdom 
Sector Private 
PI Contribution The PA is the UK's leading multi-media news and information provider and supplier of business-to-business media services. We are working together on CGM summarisation to support the needs of digital journalism. I have already interviewed several journalists as part of the user requirements gathering stage. Later on, they will be approached for evaluation. In addition, I have been training some of their staff in text mining tools, most notably using our GATE open-source text mining toolkit. Further knowledge transfer opportunities will be pursued through a related European project, which is currently under negotiation.
Start Year 2010
 
Description Nesta (from 2015) 
Organisation Nesta
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Collaboration on Political Futures Tracker - analysing social media in the run up to the 2015 General Election to uncover the top political themes, how positive or negative people feel about them, and how far parties and politicians are looking to the future
Collaborator Contribution Data visualisation and writing up of the blog posts
Impact https://www.nesta.org.uk/news/political-futures-tracker
Start Year 2015
 
Description TechCity UK (2018) - Analysis of Reddit posts 
Organisation Tech City UK
Country United Kingdom 
Sector Public 
PI Contribution Analysis of social media content, to establish young people's attitudes towards careers in ICT - https://talent.techcityuk.com/future-talent-key-findings/
Collaborator Contribution Manual data analysis, visualisation, and report write-up
Impact https://talent.techcityuk.com/future-talent-key-findings/
Start Year 2017
 
Title GATE Crowdsourcing Plugin 
Description The GATE Crowdsourcing plugin provides tools for two main types of crowdsourcing tasks: a). annotation: present crowdworkers with a snippet of text (e.g. a sentence) and ask them to mark all the mentions of a particular annotation type. b). classi?cation: present crowdworkers with a snippet of text containing an existing annotation with several possible labels (e.g. meanings of a word), and ask them to select the most appropriate label (or "none of the above"). 
Type Of Technology Webtool/Application 
Year Produced 2014 
Impact The application is open-source. Crowdsourcing is an increasingly popular, collaborative approach for acquiring annotated corpora. Despite this, reuse of corpus conversion tools and user interfaces between projects is still problematic, since these are not generally made available. The GATE Crowdsourcing plugin offers infrastructural support for mapping documents to crowdsourcing units and back, as well as automatically generating reusable crowdsourcing interfaces for NLP classification and sequence annotation tasks. 
URL https://gate.ac.uk/wiki/crowdsourcing.html
 
Title GATE Twitter part-of-speech tagger 
Description The tagger is an adapted and augmented version of a leading CRF-based tagger, customised for English tweets. It's released as both a GATE PR and also a standalone command-line tool (Java, so any operating system). It achieves 91% accuracy on tokens on our evaluation set, which is very high for this genre. Importantly, it has relatively high whole-sentence-correct performance. 
Type Of Technology Webtool/Application 
Year Produced 2013 
Impact The tagger is available open-source. Part-of-speech tagging tweets is hard. The tagger achieves competitive accuracy, and uses the Penn Treebank tagset, so that all other tools should integrate seamlessly. 
URL https://gate.ac.uk/wiki/twitter-postagger.html
 
Title TwitIE 
Description TwitIE is an open-source GATE pipeline for Information Extraction over tweets, one of the noisiest forms of social media text. 
Type Of Technology Webtool/Application 
Year Produced 2013 
Impact The application is open-source. NLP on social media data is hard. Content is often brief, contains mistakes, lacks context, and is uncurated - very different from the well-formed news text that tools typically operate over. TwitIE is a GATE pipeline for Information Extraction over tweets, one of the noisiest forms of social media text. 
URL https://gate.ac.uk/wiki/twitie.html
 
Description 3 Million Brexit Tweets Reveal Leave Voters Talked About Immigration More Than Anything Else 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Media reporting on our groundbreaking analysis of tweets on the EU membership referendum
Year(s) Of Engagement Activity 2016
URL https://www.buzzfeed.com/jamesball/3-million-brexit-tweets-reveal-leave-voters-talked-about-imm
 
Description 9th GATE Training Course: Mining social media content with GATE 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Summer school lectures on social media analysis
Year(s) Of Engagement Activity 2016
 
Description A workshop on fake news analysis 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact Around 50 researchers, students, and participants from industry participated in the practical workshop, learning about tools and methods for analysing fake news and misinformation on social media.
Year(s) Of Engagement Activity 2017
URL http://www.sobigdata.eu/computational-fake-news-analysis-practical-workshop
 
Description AAAI 2015 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact 'Towards detecting rumours in social media' - presented at AAAI Workshop on AI for Cities 2015
Year(s) Of Engagement Activity 2015
 
Description Blog on On GATE, Text Analysis, Summarisation, Linked Data and Mining Social Media 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact A blog on my research on text mining and summarisation of social media, with focus on Twitter.
Year(s) Of Engagement Activity 2012,2014,2015,2016,2017
 
Description Blog post on the Brexit Analyser 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact A blog post on our work on analysing tweets on the EU membership referendum
Year(s) Of Engagement Activity 2016
URL http://gate4ugc.blogspot.co.uk/2016/07/the-tools-behind-our-brexit-analyser.html
 
Description GATE for social media mining - a tutorial 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A half-day tutorial on text mining and summarisation of Twitter, Facebook, and other social media


.
Year(s) Of Engagement Activity 2013
 
Description Invited talk - University of Cambridge 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Invited talk at the University of Cambridge, which resulted in questions and discussions afterwards with researchers in related fields.
Year(s) Of Engagement Activity 2015
URL http://talks.cam.ac.uk/talk/index/53855
 
Description Invited talk at British Telecom 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact Invited talk at British Telecom, Ipswich, UK, on Natural Language Processing for Social Media
Year(s) Of Engagement Activity 2015
 
Description Keynote talk at the CHIST-ERA 2011 conference 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact At present, 200 million Twitter users send 140 million tweets a day, Facebook has 750 million active users, who spend over 700 billion minutes per month on the site, and increasingly knowledge is generated utilising the "wisdom of the crowd", on Wikipedia, Quora, and other similar sites. This unprecedented rise in the volume and importance of online textual content has resulted in companies and individuals increasingly struggling with information overload, or, as Clay Shirky defines it - a filter failure.

This talk will discuss how text analytics and natural language processing can help address these issues, through the development of methods capable of extracting useful knowledge from noisy, contradictory content; inferring an individual's information seeking goals; offering personalised information access, and making use of distributed human computation, by harnessing the knowledge of a large number of humans. I will also touch upon the challenge of developing research infrastructures for experimentation with large-scale Text-to-Knowledge (T2K) analytics, at affordable costs for research teams and companies.

http://conference2011.chistera.eu/communication/kalina-bontcheva
Year(s) Of Engagement Activity 2011
URL http://conference2011.chistera.eu/communication/kalina-bontcheva
 
Description Oral evidence at the UK DCMS parliamentary committee enquiry on fake news 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact Gave oral oral evidence to the DCM&S parliamentary committee, based on my research on methods for analysing misinformation on social media. Questions included:
What is 'fake news'? Where does biased but legitimate commentary shade into propaganda and lies?
What impact has fake news on public understanding of the world, and also on the public response to traditional journalism? If all views are equally valid, does objectivity and balance lose all value?
Is there any difference in the way people of different ages, social backgrounds, genders etc use and respond to fake news?
Have changes in the selling and placing of advertising encouraged the growth of fake news, for example by making it profitable to use fake news to attract more hits to websites, and thus more income from advertisers?
Year(s) Of Engagement Activity 2017
URL http://data.parliament.uk/writtenevidence/committeeevidence.svc/evidencedocument/digital-culture-med...
 
Description PHEME booth at ICT 2015 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Opportunity to engage and network with the 6000+ participants at the event
Year(s) Of Engagement Activity 2015
 
Description PROMISE Winter School 2013 Bridging between Information Retrieval and Databases 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The aim of the PROMISE Winter School 2013 on "Bridging between Information Retrieval and Databases" is to give participants a grounding in the core topics that constitute the multidisciplinary area of information access and retrieval to unstructured, semi-structured, and structured information. The school is a week-long event consisting of guest lectures from invited speakers who are recognized experts in the field. The school is intended for PhD students, Masters students or senior researchers such as post-doctoral researchers form the fields of databases, information retrieval, and related fields.
Year(s) Of Engagement Activity 2013
URL http://www.promise-noe.eu/documents/10156/91889f81-86ba-46e4-9f50-3186d1be2340
 
Description Participation in a Wilton Park dialogue on Computational propaganda 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact Wilton Park dialogue: Computational propagandaWednesday 21 - Friday 23 March 2018 | WP1605
A specially convened dialogue. This 'offline' event is invite only and was held under the 'Wilton Park Protocol', whereby all discussion is off the record.
Year(s) Of Engagement Activity 2018
 
Description Presentation at EACL'2014 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Tutorial: Natural language processing for social media at EACL'2014
Year(s) Of Engagement Activity 2014
URL http://eacl2014.org/tutorial-social-media
 
Description RDSM Workshop 2015 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Workshop: Rumors and Deception on Social Media: Detection, Tracking, and Visualization at WWW 2015, RDSM Workshop
Year(s) Of Engagement Activity 2015
 
Description Twitter account - https://twitter.com/kbontcheva 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Kalina Bontcheva tweets about her research
Year(s) Of Engagement Activity 2010,2011,2012,2013,2014
 
Description Workshop on Scalability in Natural Language Processing 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact This workshop, held with RANLP 2013, aims to introduce contemporary work and to discuss novel methods for natural language processing at a large scale, and explore how the resulting technology and methods can be reused in applications both on the Web and in the physical world.
Year(s) Of Engagement Activity 2013
 
Description Workshops at 7th GATE summer school 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Workshops in Mining social media with GATE at the 7th GATE summer school.
Year(s) Of Engagement Activity 2013,2014
URL https://gate.ac.uk/conferences/fig/fig7.html
 
Description Written evidence submitted to the EC public consultation on fake news 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact The consultation collected written submissions answering the following questions:
Definition of fake information and their spread online
Assessment of measures already taken by platforms, news media companies and civil society organisations to counter the spread of fake information online
Scope for future actions to strengthen quality information and prevent the spread of disinformation online.
Year(s) Of Engagement Activity 2017
URL https://ec.europa.eu/info/consultations/public-consultation-fake-news-and-online-disinformation_en