Congratulations to Marcos Zampieri, whose paper has been accepted at NAACL 2019.
Reference: Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, and Ritesh Kumar (2019) Predicting the Type and Target of Offensive Posts in Social Media.
You may access the NAACL paper here: https://arxiv.org/abs/1902.09666
We are pleased to announce that the paper titled “Bridging the Gap: Attending to Discontinuity in Identification of Multiword Expressions” from researchers in RGCL has been accepted into the main track of the Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019). This is joint work by Omid Rohanian, Shiva Taslimipoor, Le An Ha, Samaneh Kouchaki, and Prof. Ruslan Mitkov.
A preprint of this paper will soon be available on ArXiv.
In our paper:
Evans, R., & Orasan, C. (2013). Annotating signs of syntactic complexity to support sentence simplification. In I. Habernal & V. Matousek (Eds.), Text, Speech and Dialogue. Proceedings of the 16th International Conference TSD 2013. Plzen, Czech Republic: Springer. pp. 92 – 104
we present the annotation of a dataset that is used by our syntactic simplification method to identify places where rewriting rules have to be applied in order to produce simpler sentences.
The datasets are available in XML format as three independent files, each representing a different genre
Each file contains a list of sentences annotated using the following format:
<S ID="2"><SIGN ID="2" CLASS="SSEV">That</SIGN> is
<SIGN ID="3" CLASS="HELP">,</SIGN> a high-fibre diet,
fluid <SIGN ID="4" CLASS="CLN">,</SIGN> etc.</S>
The sentences are marked using the S tag, whilst the signs by the tag SIGN. The type of sign is encoded by the attribute CLASS. The sentences were annotated in isolation, so the files above do not contain coherent texts, but sequences of sentences extracted from different files.
To understand the difference between different classes and how the annotation process was carried out please consult the annotation guidelines. Specific questions about the annotation should be sent to Richard Evans. A demo of the sign tagger is available at http://rgcl.wlv.ac.uk/demos/SignTaggerWebDemo/
You can find out more about our approach for syntactic simplification in our recent paper
Evans, Richard, and Constantin Orǎsan. 2018. “Identifying Signs of Syntactic Complexity for Rule-Based Sentence Simplification.” Natural Language Engineering. https://doi.org/10.1017/S1351324918000384.
Congratulations to Mireille Makary for completing her Viva Voce exam on 17th October. Mireille, a part-time distance RGCL student, was defending her thesis ‘Ranking retrieval systems using minimal human assessments’.
After the Viva, Mireille celebrated with the group in the traditional RGCL way!
Every year, the University of Wolverhampton awards 10 research fellowships to support projects led by researchers who obtained their PhD in the last 5 years. The initiative is called ERAS – Early Research Award Scheme (ERAS)  and provides a budget of up to 5,000 pounds to each project. The program has existed since 2016 and applications are selective on a competitive basis.
Marcos Zampieri, a member of RGCL and RIILP, was selected to be part of the 2018-2019 cohort of ERAS fellows with a project entitled “Identifying and Categorizing Offensive Language in Social Media”. The project deals with the application of computational methods to identify offensive and aggressive language and hate speech in social media. The funding will support the annotation of a large offensive language dataset that will be used in a SemEval 2019 task .
For more information, please check Marcos’ recent publications on the topic [3,4,5].
The Research Group in Computational Linguistics (RGCL) has been successful in their application for a European Masters in Technology for Translation and Interpreting (EM TTI).
EM TTI will be run by the strong consortium consisting of the University of Wolverhampton, University of Malaga (Spain), University of Ljubljana (Slovenia) and New Bulgarian University (Bulgaria) and will deliver a cohesive, integrated European-wide programme. Bringing together these four Higher Education institutions, who are leading researchers in computational aspects of language study, as well as in state-of-the-art technology for translation and interpreting, will give the students access to high-profile academics and best practices across the field. Students on the two-year degree course have the opportunity to study at multiple universities and undertake industry placements related to their dissertation.
EM TTI will produce specialists in translation and interpreting who are up-to-date with the latest applications which support their daily work. The disciplines involved are translation, interpreting, language technology, and linguistics.
This was a highly competitive application process. Prof. R Mitkov, the coordinator of the programme and Director of the Research Institute commented ‘This programme is not only the first Erasmus Mundus Master programme on Technology for Translation and Interpreting but the very first Master programme in the world on this topic. It will not only enhance the visibility of the research group and university, but will also create a very special teaching and research vibrant environment on the topics covered. ‘
The funding of 3 million Euros granted by the EC will cover 60 scholarships across the consortium. The offer of scholarships will drive competition for places and ensure candidates of the highest calibre are selected. Students will be awarded a Multiple Master’s degree from the institutions where they study.
The new programme will begin in September 2019, with applications opening in November/December 2018. For any further information, please contact Amanda Bloore, Project and Funding Officer for RIILP (A.Bloore@wlv.ac.uk).