Related papers: Examining Citations of Natural Language Processing Literature

Examining Citations of Natural Language Processing Literature

URL: http://arxiv.org/abs/2005.00912v1
Date: Sat, 2 May 2020 20:01:59 GMT
Title: Examining Citations of Natural Language Processing Literature
Authors: Saif M. Mohammad
Abstract summary: We show that only about 56% of the papers in AA are cited ten or more times. CL Journal has the most cited papers, but its citation dominance has lessened in recent years. papers on sentiment classification, anaphora resolution, and entity recognition have the highest median citations.
Score: 31.87319293259599
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: We extracted information from the ACL Anthology (AA) and Google Scholar (GS) to examine trends in citations of NLP papers. We explore questions such as: how well cited are papers of different types (journal articles, conference papers, demo papers, etc.)? how well cited are papers from different areas of within NLP? etc. Notably, we show that only about 56\% of the papers in AA are cited ten or more times. CL Journal has the most cited papers, but its citation dominance has lessened in recent years. On average, long papers get almost three times as many citations as short papers; and papers on sentiment classification, anaphora resolution, and entity recognition have the highest median citations. The analyses presented here, and the associated dataset of NLP papers mapped to citations, have a number of uses including: understanding how the field is growing and quantifying the impact of different types of papers.

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