Now showing items 21-40 of 1789

    • Detecting Summary-worthy Sentences: the Effect of Discourse Features 

      DROOG-HAYES, M; WIGGINS, GA; PURVER, MRJ; 13th IEEE International Conference on Semantic Computing (IEEE, 2019-02-01)
      We examine the benefit of a variety of discourse and semantic features for the identification of summary-worthy content in narrative stories. Using logistic regression models, we find that the most informative features are ...
    • Re-Representing Metaphor: Modelling metaphor perception using dynamically contextual distributional semantics 

      MCGREGOR, SE; AGRES, K; Rataj, K; PURVER, MRJ; WIGGINS, GA (Frontiers Media, 2019)
      In this paper, we present a novel context-dependent approach to modelling word meaning, and apply it to the modelling of metaphor. In distributional semantic approaches, words are represented as points in a high dimensional ...
    • Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things 

      YAO, Y; SUN, Y; PHILLIPS, CI; Cao, Y (IEEE, 2019)
      Further accelerated by the Internet of Things (IoT) concept, various devices are being continuously introduced into diverse application scenarios. To achieve unattended updates of IoT smart object(s), there remains a ...
    • Sounds too true to be good: diegetic infidelity–the case for sound in virtual reality 

      McArthur, A; Stewart, R; Sandler, M (Taylor & Francis, 2017-01-02)
      © 2017 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. Cinematic virtual reality (VR) elicits new possibilities for the treatment of sound in space. Distinct from screen-based practices ...
    • Automatic Transcription of Diatonic Harmonica Recordings 

      Lins, F; Johann, M; BENETOS, E; Schramm, R; IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE, 2019-05-12)
      This paper presents a method for automatic transcription of the diatonic Harmonica instrument. It estimates the multi-pitch activations through a spectrogram factorisation framework. This framework is based on Probabilistic ...
    • Sound-based transportation mode recognition with smartphones 

      WANG, L; Daniel, R; ICASSP 2019 (IEEE, 2019)
      Smartphone-based identification of the mode of transportation of the user is important for context-aware services. We investigate the feasibility of recognizing the 8 most common modes of locomotion and transportation from ...
    • Are Internet Tunnels Worthwhile? 

      Akter, H; Phillips, C; IEEE (2018)
    • Using Fuzzy Logic to Leverage HTML Markup for Web Page Representation 

      Garcia-Plaza, AP; Fresno, V; Martinez Unanue, R; Zubiaga, A (2017-08)
    • All-in-one: Multi-task Learning for Rumour Verification 

      Kochkina, E; Liakata, M; ZUBIAGA, A; International Conference on Computational Linguistics (Association for Computational Linguistics, 2018)
      Automatic resolution of rumours is a challenging task that can be broken down into smaller components that make up a pipeline, including rumour detection, rumour tracking and stance classification, leading to the final ...
    • Radio-Frequency and Microwave Techniques for Non-Invasive Measurement of Blood Glucose Levels. 

      Yilmaz, T; Foster, R; Hao, Y (MDPI, 2019-01-08)
      This paper reviews non-invasive blood glucose measurements via dielectric spectroscopy at microwave frequencies presented in the literature. The intent is to clarify the key challenges that must be overcome if this approach ...
    • WISC at mediaeval 2017: Multimedia satellite task 

      Tkachenko, N; Zubiaga, A; Procter, R (CEUR Workshop Proceedings, 2017-01-01)
      This working note describes the work of the WISC team on the Multimedia Satellite Task at MediaEval 2017. We describe the runs that our team submitted to both the DiRSM and FDSI subtasks, as well as our evaluations on the ...
    • Processing social media in real-time 

      Spina, D; Zubiaga, A; Sheth, A; Strohmaier, M (Elsevier, 2019-05-01)
      Social media provide a wealth of information that reveals insights into current affairs and ongoing events (Becker, Iter, Naaman, Gravano, 2012, Kwak, Lee, Park, Moon, 2010). A careful exploitation of this information can ...
    • Recurrent Neural Networks for Incremental Disfluency Detection 

      HOUGH, J; Schlangen, D (INTERSPEECH 2015, 2015-09)
      For dialogue systems to become robust, they must be able to detect disfluencies accurately and with minimal latency. To meet this challenge, here we frame incremental disfluency detection as a word-by-word tagging task ...
    • FIVR: Fine-grained Incident Video Retrieval. 

      Kordopatis-Zilos, G; Papadopoulos, S; Patras, I; Kompatsiaris, I
    • Engaging With Contemporary Dance: What Can Body Movements Tell us About Audience Responses? 

      Theodorou, L; Healey, PGT; Smeraldi, F (Frontiers, 2019-02-01)
      In live performances seated audiences have restricted opportunities for response. Some responses are obvious, such as applause and cheering, but there are also many apparently incidental movements including posture shifts, ...
    • Conceptual representations for computational concept creation 

      Xiao, P; Toivonen, H; Gross, O; Cardoso, A; Correia, J; Machado, P; Martins, P; Oliveira, HG; Sharma, R; Pinto, AM (Association for Computing Machinery, 2019-02-01)
      Computational creativity seeks to understand computational mechanisms that can be characterized as creative. The creation of new concepts is a central challenge for any creative system. In this article, we outline different ...
    • Adaptive Service Deployment using In-Network Mediation 

      Elhabbash, A; Blair, GS; Tyson, G; Elkhatib, Y (IEEE, 2018)
      Serendipitous peer discovery is important for emerging Internet applications, particularly in dynamic environments (e.g., the IoT, ubiquitous and fog domains) where a large number of resources operate different services ...
    • Detection and Resolution of Rumours in Social Media: A Survey 

      Zubiaga, A; Aker, A; Bontcheva, K; Liakata, M; Procter, R (ACM, Inc, 2018-06)
      Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i.e., items of information that are unverified at the time ...
    • A longitudinal assessment of the persistence of twitter datasets 

      Zubiaga, A (Wiley, 2018-08)
      Social media datasets are not always completely replicable. Having to adhere to requirements of platforms such as Twitter, researchers can only release a list of unique identifiers, which others can then use to recollect ...
    • A longitudinal analysis of the public perception of the opportunities and challenges of the Internet of Things 

      Zubiaga, A; Procter, R; Maple, C (PLoS, 2018-12-20)
      The Internet of Things (or IoT), which enables the networked interconnection of everyday objects, is becoming increasingly popular in many aspects of our lives ranging from entertainment to health care. While the IoT brings ...