Essays about: "Named Entity Recognition NER"
Showing result 1 - 5 of 31 essays containing the words Named Entity Recognition NER.
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1. Named Entity Recognition for Detecting Trends in Biomedical Literature
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : The number of publications in the biomedical field increases exponentially, which makes the task of keeping up with current research more and more difficult. However, rapid advances in the field of Natural Language Processing (NLP) offer possible solutions to this problem. READ MORE
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2. Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Named Entity Recognition (NER) refers to the task of locating relevant information within text sequences. Within the medical domain, it can benefit applications such as de-identifying patient records or extracting valuable data for other downstream tasks. READ MORE
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3. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE
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4. Unified Modeling Language(UML) generation from userrequirements in naturallanguage
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : A significant challenge in software engineering is the process of translating natural language requirements into Unified Modeling Language (UML) diagrams. This thesis delves into the methodologies and approaches involved in the automated derivation of UML diagrams from textual requirements. READ MORE
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5. Fine-tuning a BERT-based NER Model for Positive Energy Districts
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : This research presents an innovative approach to extracting information from Positive Energy Districts (PEDs), urban areas generating surplus energy. PEDs are integral to the European Commission's SET Plan, tackling housing challenges arising from population growth. READ MORE