activity
20202022
most citedHuman-in-the-Loop Refinement of Word Embeddings

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022★ 1 cited

Combining keyphrase extraction and lexical diversity to characterize ideas in publication titles

James Powell, Martin Klein, Lyudmila Balakireva

Beyond bibliometrics, there is interest in characterizing the evolution of the number of ideas in scientific papers. A common approach for investigating this involves analyzing the…

cs.CL2021

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…

cs.CL2021★ 1 cited

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…

q-bio.OT2021

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-…

cs.CL2020

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…