Author Similarity Identification Using Citation Context and Proximity

Abstract

This paper presents an overall analysis on the similarity between the authors and identify the authors doing similar work in the domain of the ACL Anthology. Similar works deal only with the frequency of citations and the citation content analysis. We tried to bring out the relationship between the authors working in the similar domain with the help of semantically analyzing the citation context and with proximity analysis.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 7 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.