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[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 …
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …
Understanding by understanding not: Modeling negation in language models
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 …
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
Negation and speculation are universal linguistic phenomena that affect the performance of
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Natural Language Processing (NLP) applications, such as those for opinion mining and …
Recent advances in processing negation
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 …
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
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 …
very common linguistic construction that affects polarity and, therefore, needs to be taken …
NegBERT: a transfer learning approach for negation detection and scope resolution
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 …
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
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 …
processing applications, including sentiment analysis. This paper presents a negation …
Dual sentiment analysis: Considering two sides of one review
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 …
learning approaches in sentiment analysis. However, the performance of BOW sometimes …
Did it happen? The pragmatic complexity of veridicality assessment
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 …
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
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 …
about eventualities in discourse. Inferences derived from events judged as not having …