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20172020
most citedUsing Similarity Measures to Select Pretraining Data for NER

18 citations · 29 across the 7 of their papers we have counts for

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cs.CL20201 cited

An Effective Transition-based Model for Discontinuous NER

Xiang Dai, Sarvnaz Karimi, Ben Hachey +1

Unlike widely used Named Entity Recognition (NER) data sets in generic domains, biomedical NER data sets often contain mentions consisting of discontinuous spans. Conventional sequ…

cs.CL2020

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains

Chang Xu, Cecile Paris, Surya Nepal +3

We address the issue of having a limited number of annotations for stance classification in a new domain, by adapting out-of-domain classifiers with domain adaptation. Existing app…

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.CL20191 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.CL20191 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…