About me

ආයුබෝවන්(āyubōvan), Hi

I am a PhD Student at Research Group in Computational Linguistics (RGCL) in University of Wolverhamton supervised by Prof Ruslan Mitkov and Prof Constantin Orasan. My current research focuses on using Deep Learning for applications in translation domain.

I received my bachelors degree from University of Moratuwa, Sri Lanka, specializing in Computer Science & Engineering. After graduation, I worked as a Associate Technical Team Lead in R&D division of CodeGen International where I lead and managed Machine Learning and Data Science team. I worked on several machine learning projects related to travel domain, such as Personalization and Recommendation, Revenue Management, Review Mining, Chat bots etc.

I am interested in Deep Learning Applications in Natural Language Processing.

Recent News

  • On April 21st 2020, A paper titled “Intelligent Translation Memory Matching and Retrieval with Sentence Encoders” was accepted in EAMT 2020. We release our early findings on using deep learning for translation memory matching and retrieval.

  • On February 15th 2020. A paper titled “Offensive Language Identification in Greek” was accepted in LREC 2020. We release an Offensive Language Identification dataset for Greek as well as several baseline models to tackle the task.

  • In October 2019, my team (BRUMS) participated in HASOC 2019 to identify Hate Speech and Offensive Content in Indo-European Languages. We achieved third place out of 174 teams in English subtask. Also BRUMS were 8th from 93 teams in Hindi subtask and 8th out of 54 teams in German subtask.

  • In October 2019, my team (RGCL) participated in IDAT 2019 to detect irony in Arabic tweets. We achived 4th place out of 18 teams.

  • On August 26, 2019, A paper titled “RGCL at GermEval 2019: Offensive Language Detection with Deep Learning” was accepted at KONVENS 2019.

  • On July 6, 2019. Four papers accepted to RANLP 2019: Emoji Powered Capsule Network to Detect Type and Target of Offensive Posts in Social Media; Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations; Toponym Detection in the Bio-Medical Domain: A Hybrid Approach with Deep Learning; Semantic Textual Similarity with Siamese Neural Networks.

  • On March 10, 2019. A paper titled “RGCL-WLV at SemEval-2019 Task 12: Toponym Detection” was accepted at SemEval-2019.

Recent Research Highlights