18 citations · 29 across the 7 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…
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…