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In this work, we present to the NLP community, and to the wider research community as a whole, an application for the diachronic analysis of research corpora.
Markov models and hidden markov models: A brief tutorial
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Latent dirichlet allocation
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EMNLP versus ACL: Analyzing NLP research over time
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Visualizing data using t-sne
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Efficient estimation of word representations in vector space
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Distributed representations of geographically situated language
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Statistically significant detection of linguistic change
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Predictive modeling: Guessing the NLP terms of tomorrow
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Diachronic word embeddings reveal statistical laws of semantic change
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Brave new world: Uncovering topical dynamics in the ACL Anthology reference corpus using term life cycle information
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Temporal word analogies: Identifying lexical replacement with diachronic word embeddings
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Diachronic word embeddings and semantic shifts: a survey
Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, and Erik Velldal. 2018 · 2018
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Training temporal word embeddings with a compass
Valerio Di Carlo, Federico Bianchi, and Matteo Palmonari. 2019 · 2019
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Deephist: Towards a deep learning-based computational history of trends in the nips
A wind of change: Detecting and evaluating lexical semantic change across times and domains
Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, and Sabine Schulte im Walde. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R Salakhutdinov, and Quoc V Le. 2019 · 2019
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Yake! keyword extraction from single documents using multiple local features
Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alípio Jorge, Célia Nunes, and Adam Jatowt. 2020 · 2020
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BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
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Ro{bert}a: A robustly optimized {bert} pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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Amna Dridi, Mohamed Medhat Gaber, R. Muhammad Atif Azad, and Jagdev Bhogal. 2019 · 2019
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The nlp4nlp corpus (i): 50 years of publication, collaboration and citation in speech and language processing
Joseph Mariani, Gil Francopoulo, and Patrick Paroubek. 2019 · 2019
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The state of nlp literature: A diachronic analysis of the acl anthology
Saif M. Mohammad. 2019 · 2019
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Umap: Uniform manifold approximation and projection for dimension reduction
Leland McInnes, John Healy, and James Melville. 2020 · 2020
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NLP scholar: An interactive visual explorer for natural language processing literature
Saif M. Mohammad. 2020 · 2020
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