Biography and Research Information
OverviewAI-generated summary
Tyler Gerth's research focuses on natural language processing, specifically exploring techniques for improving word embeddings. His work investigates methods to incorporate word order information into existing embedding models, such as GloVe, aiming to enhance their ability to represent semantic relationships in text. Gerth has published on these topics, including work on a model named WOVe, which stands for Word Order in GloVe Embeddings.
His scholarly output includes three publications with 30 citations, and he holds an h-index of 2. Gerth has collaborated with Susan Gauch at the University of Arkansas at Fayetteville on two shared publications, indicating an active research network. His recent activity suggests ongoing engagement with the field.
Metrics
- h-index: 2
- Publications: 3
- Citations: 31
Selected Publications
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WOVe: Incorporating Word Order in GloVe Word Embeddings (2022)
Collaboration Network
Top Collaborators
- WOVe: Incorporating Word Order in GloVe Word Embeddings
- WOVe: Incorporating Word Order in GloVe Word Embeddings
- WOVe: Incorporating Word Order in GloVe Word Embeddings
- WOVe: Incorporating Word Order in GloVe Word Embeddings
- WOVe: Incorporating Word Order in GloVe Word Embeddings
- WOVe: Incorporating Word Order in GloVe Word Embeddings
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