Sökning: "Aron Henriksson"

Hittade 3 avhandlingar innehållade orden Aron Henriksson.

1. 1. Ensembles of Semantic Spaces : On Combining Models of Distributional Semantics with Applications in Healthcare

   Författare :Aron Henriksson; Hercules Dalianis; Martin Duneld; Nigel Collier; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; natural language processing; machine learning; distributional semantics; ensemble learning; semantic space ensembles; medical informatics; electronic health records; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : Distributional semantics allows models of linguistic meaning to be derived from observations of language use in large amounts of text. By modeling the meaning of words in semantic (vector) space on the basis of co-occurrence information, distributional semantics permits a quantitative interpretation of (relative) word meaning in an unsupervised setting, i. LÄS MER

3. 2. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records

   Författare :Aron Henriksson; Hercules Dalianis; Martin Duneld; Jussi Karlgren; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; distributional semantics; random indexing; semantic space; electronic health records; clinical text; synonyms; diagnosis codes; adverse drug reactions; Computer and Systems Sciences; data- och systemvetenskap; IT for health; IT för hälsa; datorlingvistik; Computational Linguistics; datalogi; Computer Science;

   Sammanfattning : The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. LÄS MER

4. 3. Attacking and Defending the Privacy of Clinical Language Models

   Författare :Thomas Vakili; Hercules Dalianis; Aron Henriksson; Aurélie Névéol; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : The state-of-the-art methods in natural language processing (NLP) increasingly rely on large pre-trained transformer models. The strength of the models stems from their large number of parameters and the enormous amounts of data used to train them. The datasets are of a scale that makes it difficult, if not impossible, to audit them manually. LÄS MER