posted by organizer: LauraRusu || 14306 views || tracked by 24 users: [display]

Big NLP 2016 : Big Data and Natural Language Processing workshop hosted at IEEE Big Data 2016

FacebookTwitterLinkedInGoogle

Link: http://wp.lancs.ac.uk/bignlp2016/
 
When Dec 5, 2016 - Dec 8, 2016
Where Washington DC
Submission Deadline Oct 3, 2016
Notification Due Oct 25, 2016
Final Version Due Nov 8, 2016
Categories    NLP   big data   computer science
 

Call For Papers

Big Data and Natural Language Processing workshop hosted at IEEE Big Data 2016
http://wp.lancs.ac.uk/bignlp2016/

The modality of textual data has been somewhat under-represented in big data and data science research thus far. This is despite the fact that large amounts of data are stored in unstructured textual format. We intend that this workshop will address this shortcoming and bring together academic and industrial researchers to exchange cutting edge research in the emerging area of extremely large-scale natural language processing (NLP). This topic has emerged in several areas in parallel in recent years: information retrieval and search engines, text mining, machine learning, web-derived corpus/computational linguistics, digital libraries, high performance and parallel computing. Common to all these areas is some or all of the main parts of the NLP pipeline: collection, cleaning, annotation, indexing, storage, retrieval and analysis of voluminous quantities of naturally occurring language data from the web or large-scale national and international digitisation initiatives. By hosting this event at IEEE Big Data 2016, we hope to encourage the communities to come together to consider synergies between NLP and data science.

In this context, numerous issues should be considered including those linked to the five Vs of big data: (a) Volume: is having more data for training and testing NLP techniques always better? (b) Variety: are all types of data available on a sufficiently large scale? (c) Velocity: how are parallel methods best applied to carry out NLP on a large scale? (d) Variability: how does inconsistent data impact on the accuracy of NLP techniques? (e) Veracity: how does the accuracy of data affect inferences that can be drawn from it?

Research topics:
Topics covered by the workshop include, but are not restricted to, the following:
Application focused papers e.g. security informatics
Crowdsourcing approaches to large-scale language analysis
Use of big data to train/test methods for low resource languages where existing NLP approaches do not exist
Efficient NLP for analysing large data sets
Challenges of scaling the NLP pipeline
Big Data Management for NLP
Storage and access for large linguistic data sets
Language processing via GPGPUs
Parallel and distributed computing techniques for language analysis e.g. HPC, MapReduce, Hadoop, Spark and cloud based machine learning
Visualisation methods for the analysis of large corpora

Dates:
Oct 3, 2016: Due date for full workshop papers submission
Oct 25, 2016: Notification of paper acceptance to authors
Nov 8, 2016: Camera-ready of accepted papers
Dec 5-8, 2016: Workshops

Program Chairs:
Dr Paul Rayson (Lancaster University, UK)
Dr Mark Stevenson (Sheffield University, UK)
Dr John Mariani (Lancaster University, UK)
Dr Laura Irina Rusu (IBM Research Australia)
Gandhi Sivakumar (Watson CoC, IBM Australia)

Program committee members:
Dr Nikos Aletras (Amazon UK)
Dr Enrique Alfonseca (Google Zurich)
Professor Laurence Anthony (Waseda University, Japan)
Dr Piotr Ba?ski (IDS-Mannheim, Germany)
Dr Alistair Baron (Lancaster University, UK)
Dr Eddie Bell (Lyst, UK)
Matt Coole (Lancaster University, UK)
Professor John Keane (University of Manchester, UK)
Dr Dawn Knight (Cardiff University, UK)
Dr Marc Kupietz (IDS-Mannheim, Germany)
Dr Jochen Leidner (Thomson Reuters, UK)
Dr Diana Maynard (Sheffield University, UK)
Dr Rao Muhammad Adeel Nawab (COMSATS, Pakistan)
Dr Sebastian Riedel (UCL, UK)
Dr Mahsa Salehi (IBM Research, Australia)
Dr Irena Spasi (Cardiff University, UK)
Dr Stephen Wattam (Lancaster University, UK)

Related Resources

ACL 2019   57th Annual Meeting of the Association for Computational Linguistics
ICDM 2019   19th Industrial Conference on Data Mining ICDM 2019
NAACL-HLT 2019   Annual Conference of the North American Chapter of the Association for Computational Linguistics
CL-MISRNLP 2020   Special Issue of Computational Linguistics: Multilingual and Interlingual Semantic Representations for Natural Language Processing
ICDMML 2019   【ACM ICPS EI SCOPUS】2019 International Conference on Data Mining and Machine Learning
ISCSAI 2018   2018 International Symposium on Computer Science and Artificial Intelligence
ICITS--EI Compendex, SCOPUS 2019   2019 The 7th International Conference on Information Technology and Science (ICITS 2019)--EI Compendex, SCOPUS
NLE-DL 2018   Natural Language Engineering Special Issue on Informing Neural Architectures for NLP with Linguistic and Background Knowledge
KomIS@ACM-SAC 2019   ACM SAC 2019 - KomIS track: Application of AI and Big Data Analytics
ISBDAI 2018   2018 International Symposium on Big Data and Artificial Intelligence