A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies

29 August 2020

Papers citing "A Decade of In-text Citation Analysis based on Natural Language Processing and Machine Learning Techniques: An overview of empirical studies"

7 / 7 papers shown

Title
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP Marius Mosbach Vagrant Gautam Tomás Vergara-Browne Dietrich Klakow Mor Geva AI4CE 46 6 0 18 Jun 2024
CausalCite: A Causal Formulation of Paper Citations Ishan Kumar Zhijing Jin Ehsan Mokhtarian Siyuan Guo Yuen Chen Mrinmaya Sachan Bernhard Schoelkopf CML 53 0 0 05 Nov 2023
When Large Language Models Meet Citation: A Survey Yang Zhang Yufei Wang Kai Wang Quan Z. Sheng Lina Yao A. Mahmood Wei Emma Zhang Rongying Zhao 52 7 0 18 Sep 2023
Cracking Double-Blind Review: Authorship Attribution with Deep Learning L. Bauersfeld Angel Romero Manasi Muglikar Davide Scaramuzza 19 6 0 14 Nov 2022
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting Anne Lauscher B. Ko Bailey Kuehl Sophie Johnson David Jurgens Arman Cohan Kyle Lo HAI 23 40 0 01 Jul 2021
Citations are not opinions: a corpus linguistics approach to understanding how citations are made Domenic Rosati 14 1 0 16 Apr 2021
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks Michihiro Yasunaga Jungo Kasai Rui Zhang Alexander R. Fabbri Irene Z Li Dan Friedman Dragomir R. Radev 73 206 0 04 Sep 2019