activity
19962020
most citedUsing Similarity Measures to Select Pretraining Data for NER

18 citations · 54 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

7 papers · 1 filter

cs.CV2019

Towards Generating Stylized Image Captions via Adversarial Training

Omid Mohamad Nezami, Mark Dras, Stephen Wan +2

While most image captioning aims to generate objective descriptions of images, the last few years have seen work on generating visually grounded image captions which have a specifi…

cs.CV2019

Image Captioning using Facial Expression and Attention

Omid Mohamad Nezami, Mark Dras, Stephen Wan +1

Benefiting from advances in machine vision and natural language processing techniques, current image captioning systems are able to generate detailed visual descriptions. For the m…

cs.CL2019

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…

cs.CL2019★ 1 cited

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…

cs.CL2019★ 1 cited

Recognising Agreement and Disagreement between Stances with Reason Comparing Networks

Chang Xu, Cecile Paris, Surya Nepal +1

We identify agreement and disagreement between utterances that express stances towards a topic of discussion. Existing methods focus mainly on conversational settings, where dialog…

cs.CL2019

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…