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Full-Text Articles in Physical Sciences and Mathematics
Bert Efficacy On Scientific And Medical Datasets: A Systematic Literature Review, Clayton Cohn
Bert Efficacy On Scientific And Medical Datasets: A Systematic Literature Review, Clayton Cohn
College of Computing and Digital Media Dissertations
Bidirectional Encoder Representations from Transformers (BERT) [Devlin et al., 2018] has been shown to be effective at modeling a multitude of datasets across a wide variety of Natural Language Processing (NLP) tasks; however, little research has been done regarding BERT’s effectiveness at modeling domain-specific datasets. Specifically, scientific and medical datasets present a particularly difficult challenge in NLP, as these types of corpora are often rife with technical jargon that is largely absent from the canonical corpora that BERT and other transfer learning models were originally trained on. This thesis is a Systematic Literature Review (SLR) of twenty-seven studies that were …
Ensemble Labeling Towards Scientific Information Extraction (Elsie), Erin Murphy
Ensemble Labeling Towards Scientific Information Extraction (Elsie), Erin Murphy
College of Computing and Digital Media Dissertations
Extracting scientific facts from unstructured text is difficult due to challenges specific to the ambiguity of the language, the complexity of the scientific named entities and relations to be extracted. This problem is well illustrated through the extraction of polymer names and their properties. Even in the cases where the property is a temperature, identifying the polymer name associated with the temperature may require expertise due to the use of acronyms, synonyms, complicated naming conventions and by the fact that new polymer names are being “introduced” to the vernacular as polymer science advances. While there exist domain-specific machine learning toolkits …
Automatic Inference Of Causal Reasoning Chains From Student Essays, Simon Mark Hughes
Automatic Inference Of Causal Reasoning Chains From Student Essays, Simon Mark Hughes
College of Computing and Digital Media Dissertations
While there has been an increasing focus on higher-level thinking skills arising from the Common Core Standards, many high-school and middle-school students struggle to combine and integrate information from multiple sources when writing essays. Writing is an important learning skill, and there is increasing evidence that writing about a topic develops a deeper understanding in the student. However, grading essays is time consuming for teachers, resulting in an increasing focus on shallower forms of assessment that are easier to automate, such as multiple-choice tests. Existing essay grading software has attempted to ease this burden but relies on shallow lexico-syntactic features …