On the linguistic representational power of neural machine translation models

Y Belinkov, N Durrani, F Dalvi, H Sajjad… - Computational …, 2020 - direct.mit.edu
Despite the recent success of deep neural networks in natural language processing and
other spheres of artificial intelligence, their interpretability remains a challenge. We analyze …

NegBio: a high-performance tool for negation and uncertainty detection in radiology reports

Y Peng, X Wang, L Lu, M Bagheri… - AMIA Summits on …, 2018 - pmc.ncbi.nlm.nih.gov
Negative and uncertain medical findings are frequent in radiology reports, but discriminating
them from positive findings remains challenging for information extraction. Here, we propose …

Corpora annotated with negation: An overview

SM Jiménez-Zafra, R Morante… - Computational …, 2020 - aclanthology.org
Negation is a universal linguistic phenomenon with a great qualitative impact on natural
language processing applications. The availability of corpora annotated with negation is …

Effect of negation in sentences on sentiment analysis and polarity detection

P Mukherjee, Y Badr, S Doppalapudi… - Procedia Computer …, 2021 - Elsevier
Sentiment analysis is one of the sub-domains of Natural Language Processing (NLP) that is
of piqued interest in the research community. With the advent of e-commerce and social …

NegBERT: a transfer learning approach for negation detection and scope resolution

A Khandelwal, S Sawant - ar** models for clinical information retrieval and decision support systems, the
discrete outcomes required for training are often missing. These labels need to be extracted …

Deep learning approach for negation handling in sentiment analysis

PK Singh, S Paul - IEEE Access, 2021 - ieeexplore.ieee.org
Negation handling is an important sub-task in Sentiment Analysis. Negation plays a
significant role in written text. Negation terms in sentence often changes the polarity of entire …