1 citations · 1 across the 4 of their papers we have counts for
4 papers
Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19
James Powell, Kari Sentz
Diachronic text mining has frequently been applied to long-term linguistic surveys of word meaning and usage shifts over time. In this paper we apply short-term diachronic text min…
Human-in-the-Loop Refinement of Word Embeddings
James Powell, Kari Sentz, Martin Klein
Word embeddings are a fixed, distributional representation of the context of words in a corpus learned from word co-occurrences. Despite their proven utility in machine learning ta…
Tracking Short-Term Temporal Linguistic Dynamics to Characterize Candidate Therapeutics for COVID-19 in the CORD-19 Corpus
James Powell, Kari Sentz
Scientific literature tends to grow as a function of funding and interest in a given field. Mining such literature can reveal trends that may not be immediately apparent. The CORD-…
Interactive Re-Fitting as a Technique for Improving Word Embeddings
James Powell, Kari Sentz
Word embeddings are a fixed, distributional representation of the context of words in a corpus learned from word co-occurrences. While word embeddings have proven to have many prac…