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Found 11 papers, 5 papers with code
Comparison of biomedical relationship extraction methods and models for knowledge graph creation
The knowledge presented in the literature needs to be systematized in such a way that claims and hypotheses can be easily found, accessed, and validated.
MASK: A flexible framework to facilitate de-identification of clinical texts
The software is able to perform named entity recognition using some of the state-of-the-art techniques and then mask or redact recognized entities.
Deep learning guided Android malware and anomaly detection
Mobile devices, especially the ones running on Android operating system are particularly interesting to malware creators, as the users often keep the biggest amount of personal information on their mobile devices, such as their contacts, social media profiles, emails, and bank accounts.
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
The recurrent neural networks that use the pre-trained domain-specific word embeddings and a CRF layer for label optimization perform drug, adverse event and related entities extraction with micro-averaged F1-score of over 91%.
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017
Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the administration of a certain drug or a combination of drugs, presenting a challenge for drug development and drug administration.
From web crawled text to project descriptions: automatic summarizing of social innovation projects
In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner.
A framework for information extraction from tables in biomedical literature
The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications.
Creating a contemporary corpus of similes in Serbian by using natural language processing
Simile is a figure of speech that compares two things through the use of connection words, but where comparison is not intended to be taken literally.
As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian
Similes are natural language expressions used to compare unlikely things, where the comparison is not taken literally.
Equity forecast: Predicting long term stock price movement using machine learning
Long term investment is one of the major investment strategies.
Marvin: Semantic annotation using multiple knowledge sources
People are producing more written material then anytime in the history.
