Search Results for author:
Found 9 papers, 2 papers with code
Effectively Leveraging BERT for Legal Document Classification
Recent work in the legal domain started to use BERT on tasks, such as legal judgement prediction and violation prediction.
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper
Recent advances in automatic speech recognition lead toward enabling a voice conversation between a human user and an intelligent virtual assistant.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition
This shared task focuses on identifying unusual, previously-unseen entities in the context of emerging discussions.
Vancouver Welcomes You! Minimalist Location Metonymy Resolution
Named entities are frequently used in a metonymic manner.
Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition
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.
Bidirectional LSTM for Named Entity Recognition in Twitter Messages
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).
Ranked #6 on
Named Entity Recognition (NER)
on WNUT 2016
Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages
Previous studies have shown that health reports in social media, such as DailyStrength and Twitter, have potential for monitoring health conditions (e. g. adverse drug reactions, infectious diseases) in particular communities.
