Index Catalog // Scholar@UC

1. Media Coverage of Outer Space

Type:: Collection
摘抄:: Data and Text of Space in Media Coverage from including: - 14,399 Documents of TV Transcripts (2010-2022) - 9,061 documents of newspaper articles (2017-2022)
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
证书:: Open Data Commons Attribution License (ODC-By)

2. Betweeness Centrality for 'Model of Models' Methods

Type:: Collection
摘抄:: Betweenness centrality is a measure of centrality in a network based on shortest paths. The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
证书:: Open Data Commons Public Domain Dedication and License (PDDL)

3. Coherence Evaluations for 'Model of Models' Methods

Type:: Collection
摘抄:: CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
证书:: Open Data Commons Attribution License (ODC-By)

4. 'Model of Models' Methods

Type:: Collection
摘抄:: The materials in this collection accompany a methodology paper regarding Human-Centered AI and the use of the DSC platform, 'Model of Models'.
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
证书:: Open Data Commons Public Domain Dedication and License (PDDL)

5. Poetry Data for NLG Models

Type:: Collection
摘抄:: This data supports research aiming to identify the relative strengths/weaknesses of three generative language models.
作者:: McCabe, Erin E. and Ayres, Sean
提交者:: Erin E. McCabe
证书:: Open Data Commons Attribution License (ODC-By)

6. Use of Medical School Applications to Identify Potential Interest in Family Medicine

Type:: Collection
摘抄:: Goal: Identify students interested in Family Medicine to help target limited resources for their support Research Question: Could artificial intelligence help identify students interested in or suited for Family Medicine?
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
证书:: Open Data Commons Public Domain Dedication and License (PDDL)

7. Examining the Substance of Bone through a Meta-Analysis of Academic Texts

Type:: Collection
摘抄:: The materials included in this collection support the research article, DATA-INFORMED TOOLS FOR ARCHAEOLOGICAL REFLEXIVITY: EXAMINING THE SUBSTANCE OF BONE THROUGH A META-ANALYSIS OF ACADEMIC TEXTS
作者:: Jackson, Sarah E. and McCabe, Erin E.
提交者:: Erin E. McCabe
证书:: Attribution 4.0 International

Dataset thumbnail: Coherence_Evaluations - nvl_pollution.csv

8. Coherence_Evaluations - nvl_pollution.csv

Type:: Dataset
摘抄:: CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
上传日期:: 11/12/2022
更改日期:: 11/12/2022
创建:: 2022
证书:: Open Data Commons Attribution License (ODC-By)

Dataset thumbnail: Coherence_Evaluations - nvl_earth.csv

9. Coherence_Evaluations - nvl_earth.csv

Type:: Dataset
摘抄:: CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
上传日期:: 11/12/2022
更改日期:: 11/12/2022
创建:: 2022
证书:: Open Data Commons Attribution License (ODC-By)

Dataset thumbnail: Coherence_Evaluations - nvl_climate.csv

10. Coherence_Evaluations - nvl_climate.csv

Type:: Dataset
摘抄:: CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
作者:: McCabe, Erin E.
提交者:: Erin E. McCabe
上传日期:: 11/12/2022
更改日期:: 11/12/2022
创建:: 2022
证书:: Open Data Commons Attribution License (ODC-By)

1. Media Coverage of Outer Space

2. Betweeness Centrality for 'Model of Models' Methods

3. Coherence Evaluations for 'Model of Models' Methods

4. 'Model of Models' Methods

5. Poetry Data for NLG Models

6. Use of Medical School Applications to Identify Potential Interest in Family Medicine

7. Examining the Substance of Bone through a Meta-Analysis of Academic Texts

8. Coherence_Evaluations - nvl_pollution.csv

9. Coherence_Evaluations - nvl_earth.csv

10. Coherence_Evaluations - nvl_climate.csv

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1. Media Coverage of Outer Space

2. Betweeness Centrality for 'Model of Models' Methods

3. Coherence Evaluations for 'Model of Models' Methods

4. 'Model of Models' Methods

5. Poetry Data for NLG Models

6. Use of Medical School Applications to Identify Potential Interest in Family Medicine​

7. Examining the Substance of Bone through a Meta-Analysis of Academic Texts

8. Coherence_Evaluations - nvl_pollution.csv

9. Coherence_Evaluations - nvl_earth.csv

10. Coherence_Evaluations - nvl_climate.csv

限定搜索

6. Use of Medical School Applications to Identify Potential Interest in Family Medicine