[LIVRO][B] Clinical text mining: Secondary use of electronic patient records

H Dalianis - 2018 - library.oapen.org
Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Understanding by understanding not: Modeling negation in language models

A Hosseini, S Reddy, D Bahdanau, RD Hjelm… - arxiv preprint arxiv …, 2021 - arxiv.org
Negation is a core construction in natural language. Despite being very successful on many
tasks, state-of-the-art pre-trained language models often handle negation incorrectly. To …

[HTML][HTML] Negation and speculation in NLP: a Survey, Corpora, methods, and applications

A Mahany, H Khaled, NS Elmitwally, N Aljohani… - Applied Sciences, 2022 - mdpi.com
Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …

Recent advances in processing negation

R Morante, E Blanco - Natural Language Engineering, 2021 - cambridge.org
Negation is a complex linguistic phenomenon present in all human languages. It can be
seen as an operator that transforms an expression into another expression whose meaning …

[PDF][PDF] A survey on the role of negation in sentiment analysis

M Wiegand, A Balahur, B Roth, D Klakow… - Proceedings of the …, 2010 - aclanthology.org
This paper presents a survey on the role of negation in sentiment analysis. Negation is a
very common linguistic construction that affects polarity and, therefore, needs to be taken …

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

A Khandelwal, S Sawant - arxiv preprint arxiv:1911.04211, 2019 - arxiv.org
Negation is an important characteristic of language, and a major component of information
extraction from text. This subtask is of considerable importance to the biomedical domain …

[PDF][PDF] What's great and what's not: learning to classify the scope of negation for improved sentiment analysis

I Councill, R McDonald, L Velikovich - Proceedings of the …, 2010 - aclanthology.org
Automatic detection of linguistic negation in free text is a critical need for many text
processing applications, including sentiment analysis. This paper presents a negation …

Dual sentiment analysis: Considering two sides of one review

R **a, F Xu, C Zong, Q Li, Y Qi… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Bag-of-words (BOW) is now the most popular way to model text in statistical machine
learning approaches in sentiment analysis. However, the performance of BOW sometimes …

Did it happen? The pragmatic complexity of veridicality assessment

MC De Marneffe, CD Manning, C Potts - Computational linguistics, 2012 - direct.mit.edu
Natural language understanding depends heavily on assessing veridicality—whether
events mentioned in a text are viewed as happening or not—but little consideration is given …

Are you sure that this happened? assessing the factuality degree of events in text

R Saurí, J Pustejovsky - Computational linguistics, 2012 - direct.mit.edu
Identifying the veracity, or factuality, of event mentions in text is fundamental for reasoning
about eventualities in discourse. Inferences derived from events judged as not having …