The 2nd Conference on Recent Advances in Artificial Intelligence (RAAI) took place on June 25-26 in Buchrest, Romania. It was organized by Prof. Liviu P. Dinu and colleagues from the Faculty of Mathematics and Computer Science of the University of Bucharest.
The conference lasted two days. The first day focused on Natural Language Processing with three invited speakers: Cornelia Caragea from Kansas State University, Marius Pasca from Google, and Marcos Zampieri from the University of Wolverhampton, as well as several presenters from Romania and from abroad. The second day featured presentations on computer vision and other areas of A.I. including a panel discussion with researchers and developers from local A.I. companies such as Bitdefender.
Marcos’ presentation entitled “Automatic Language Identification: A Solved Task? ModellingDialectal Variation in Language Identification Systems” provided an overview of the main challenges in language identification with special focus on dialectal variation taking the lessons learned in the five years of the VarDial workshop into account.
Last week, the RGCL PhD Students presented their research to their peers and staff members from across the University. The posters were well received.
Richard Evans: ‘Sentence Simplification for Language Processing’
My research is about the development and evaluation of automatic methods for the analysis and simplification of sentences. The analysis step is shallow, making it efficient and robust when processing long complex sentences. The simplification method is iterative, allowing it to simplify sentences containing multiple occurrence and multiple types of complexity.
Ahmed Omer: ‘Arabic Stylometry’
Computational Stylometry is the computer analysis of writing style. Successful techniques for computational stylometry characterise the texts under study by large numbers of linguistic features, such as the frequencies of word, character, or sentence length.
The degree of stylistic difference between a pair of documents can then be found by any of a number of measures which compare the sets of linguistic features for each document.
Omid Rohanian: ‘ NLP Approaches to estimating Text Difficulty’
I am exploring NLP approaches in investigating text difficulty at the level of concepts. I regard conceptual difficulties, as linguistic phenomena that cause some form of complication in language understanding. This complication can manifest itself in elongation of processing, which could be captured in eye tracking data, or in the form of misunderstanding the intended meaning. Conceptual difficulties alter literal meaning, and in order to comprehend them, one might need to do additional processing.
If you are interested in pursuing a PhD with the Research Group in Computational Linguistics, please find further information on our Master and PhD studies page.
RGCL would like to congratulate two members of staff – Dr Sara Moze and Dr Victoria Yaneava who have both been nominated for a VC Awards for Staff Excellence.
This nomination resulted from the University’s recent student surveys in the Innovation in Student Engagement category! The question asked in the survey was as follows:
“Could you tell us about an individual or team who has had a positive impact on your learning experience? This could include through creative and stimulating teaching, learning and assessment methods”
We look forward to the shortlist being announced.
Dr Victoria Yaneva recently attended the 15th Web for All Conference and presented the co-authored paper ‘Detecting Autism Based on Eye-Tracking Data from Web Searching Tasks’. The paper was awarded the Best Technical Paper – we would like to congratulate Dr Yaneva and her co-authors Dr Le An Ha, Dr Sukru, Dr Yeliz Yesilada and Professor Mitkov.
The Research Group in Computational Linguistics at the University of Wolverhampton (http://rgcl.wlv.ac.uk) is currently recruiting a Lecturer/Senior Lecturer in Translation Technology (permanent). The purpose of this post is to strengthen the research group by enhancing its research and publications in the field of translation technology. The appointed candidate will be expected to produce REF-returnable outputs, attract external income, seek industrial collaborations, teach at Masters level and supervise PhD students. He/she will join a recently appointed research fellow and two PhD students in translation technology. All these posts are part of a university investment in the area of translation technology.
We will be closed over the Christmas Break and will be back on the 2 January 2018.