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Tweeting Behaviour during Train Disruptions within a City Open
In a smart city environment, citizens use social media for communicating and reporting events. Existing work has shown that social media tools, such as Twitter and Facebook, can be used as social sensors to monitor events in real-time as t…
Effectively Leveraging BERT for Legal Document Classification Open
Bidirectional Encoder Representations from Transformers (BERT) has achieved state-of-the-art performances on several text classification tasks, such as GLUE and sentiment analysis. Recent work in the legal domain started to use BERT on tas…
Using Phoneme Representations to Build Predictive Models Robust to ASR Errors Open
Even though Automatic Speech Recognition (ASR) systems significantly improved over the last decade, they still introduce a lot of errors when they transcribe voice to text. One of the most common reasons for these errors is phonetic confus…
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper Open
Recent advances in automatic speech recognition lead toward enabling a voice conversation between a human user and an intelligent virtual assistant. This provides a potential foundation for developing artificial personal shoppers for e-com…
Research data supporting "Vancouver Welcomes You! Minimalist Location Metonymy Resolution" Open
Complete supporting/replication data and code for the ACL Publication. The paper was published in August 2017 at www.acl2017.org
Inferring Conceptual Relationships When Ranking Patients Open
Searching patients based on the relevance of their medical records is challenging because of the inherent implicit knowledge within the patients' medical records and queries. Such knowledge is known to the medical practitioners but may be …
Vancouver Welcomes You! Minimalist Location Metonymy Resolution Open
Named entities are frequently used in a metonymic manner. They serve as references to related entities such as people and organisations. Accurate identification and interpretation of metonymy can be directly beneficial to various NLP appli…
Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition Open
This shared task focuses on identifying unusual, previously-unseen entities in the context of emerging discussions. Named entities form the basis of many modern approaches to other tasks (like event clustering and summarization), but recal…
Bidirectional LSTM for Named Entity Recognition in Twitter Messages Open
In this paper, we present our approach for named entity recognition in Twitter messages that we used in our participation in the Named Entity Recognition in Twitter shared task at the COLING 2016 Workshop on Noisy User-generated text (WNUT…
Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM2016) at the 26th International Conference on Computational Linguistics (COLING 2016) Open
End-to-end neural network models for named entity recognition (NER) have shown to achieve effective performances on general domain datasets (e.g. newswire), without requiring additional hand-crafted features. However, in biomedical domain,…
Normalising Medical Concepts In Social Media Texts By Learning Semantic Representation Open
The TwADR-L and AskAPatient datasets for reproducing experiments in the paper entitled "Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation" to be published at ACL 2016: the 54th Annual Meeting of the Ass…
Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification Open
Word embeddings have been successfully exploited in systems for NLP tasks, such as parsing and text classification. It is intuitive that word embeddings created from a larger corpus would provide a better coverage of vocabulary. Meanwhile,…
Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation Open
Automatically recognising medical con- cepts mentioned in social media messages (e.g. tweets) enables several applications for enhancing health quality of people in a community, e.g. real-time monitoring of infectious diseases in populatio…