19 citations · 50 across the 10 of their papers we have counts for
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Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection
Adith Iyer, Aditya Joshi, Sarvnaz Karimi +2
Personal health mention detection deals with predicting whether or not a given sentence is a report of a health condition. Past work mentions errors in this prediction when symptom…
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
Aditya Joshi, Sarvnaz Karimi, Ross Sparks +2
Distributed representations of text can be used as features when training a statistical classifier. These representations may be created as a composition of word vectors or as cont…
NNE: A Dataset for Nested Named Entity Recognition in English Newswire
Nicky Ringland, Xiang Dai, Ben Hachey +3
Named entity recognition (NER) is widely used in natural language processing applications and downstream tasks. However, most NER tools target flat annotation from popular datasets…
Using Similarity Measures to Select Pretraining Data for NER
Xiang Dai, Sarvnaz Karimi, Ben Hachey +1
Word vectors and Language Models (LMs) pretrained on a large amount of unlabelled data can dramatically improve various Natural Language Processing (NLP) tasks. However, the measur…
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
Aditya Joshi, Sarvnaz Karimi, Ross Sparks +2
Epidemic intelligence deals with the detection of disease outbreaks using formal (such as hospital records) and informal sources (such as user-generated text on the web) of informa…