Fetching the paper…
Reading the bibliography…
We introduce string2string, an open-source library that offers a comprehensive suite of efficient algorithms for a broad range of string-to-string problems.
A general method applicable to the search for similarities in the amino acid sequence of two proteins
Saul B Needleman and Christian D Wunsch. 1970 · 1970
Earlier work this paper cites.
The string-to-string correction problem
Robert A Wagner and Michael J Fischer. 1974 · 1974
Earlier work this paper cites.
A linear space algorithm for computing maximal common subsequences
Daniel S. Hirschberg. 1975 · 1975
Earlier work this paper cites.
A fast string searching algorithm
Robert S. Boyer and J. Strother Moore. 1977 · 1977
Earlier work this paper cites.
Fast pattern matching in strings
Donald E. Knuth, James H. Morris, Jr., and Vaughan R. Pratt. 1977 · 1977
Earlier work this paper cites.
Dynamic programming algorithm optimization for spoken word recognition
Hiroaki Sakoe and Seibi Chiba. 1978 · 1978
Earlier work this paper cites.
Identification of common molecular subsequences
T. F. Smith and Michael S. Waterman. 1981 · 1981
Earlier work this paper cites.
Rapid and sensitive protein similarity searches
David J Lipman and William R Pearson. 1985 · 1985
Earlier work this paper cites.
Efficient randomized pattern-matching algorithms
Richard M Karp and Michael O Rabin. 1987 · 1987
Earlier work this paper cites.
Basic local alignment search tool
SF Altschul, W Gish, W Miller, EW Myers, and DJ Lipman. 1990 · 1990
Earlier work this paper cites.
NLTK: The natural language toolkit
Steven Bird and Edward Loper. 2004 · 2004
Earlier work this paper cites.
Software framework for topic modelling with large corpora
Radim Řehůřek and Petr Sojka. 2010 · 2010
Cited alongside, same era.
The OpenGrm open-source finite-state grammar software libraries
Brian Roark, Richard Sproat, Cyril Allauzen, Michael Riley, Jeffrey Sorensen, and Terry Tai. 2012 · 2012
Cited alongside, same era.
The Stanford CoreNLP natural language processing toolkit
Christopher Manning, Mihai Surdeanu, John Bauer, Jenny Finkel, Steven Bethard, and David McClosky. 2014 · 2014
Cited alongside, same era.
GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
Cited alongside, same era.
Edit distance cannot be computed in strongly subquadratic time (unless SETH is false)
Arturs Backurs and Piotr Indyk. 2015 · 2015
Cited alongside, same era.
Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou. 2019 · 2019
Later among the works it cites.
ScispaCy: Fast and robust models for biomedical natural language processing
Mark Neumann, Daniel King, Iz Beltagy, and Waleed Ammar. 2019 · 2019
Later among the works it cites.
fairseq: A fast, extensible toolkit for sequence modeling
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, and Michael Auli. 2019 · 2019
Later among the works it cites.
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
Later among the works it cites.
Stanza: A python natural language processing toolkit for many human languages
Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Armand Joulin, Edouard Grave, Piotr Bojanowski, Matthijs Douze, Hérve Jégou, and Tomas Mikolov. 2016 · 2016
Cited alongside, same era.
OpenNMT: Open-source toolkit for neural machine translation
Guillaume Klein, Yoon Kim, Yuntian Deng, Jean Senellart, and Alexander Rush. 2017 · 2017
Cited alongside, same era.
AllenNLP: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
Cited alongside, same era.
Tensor2tensor for neural machine translation
Ashish Vaswani, Samy Bengio, Eugene Brevdo, Francois Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Łukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, and Jakob Uszkoreit. 2018 · 2018
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Follow the wisdom of the crowd: Effective text generation via minimum Bayes risk decoding
Mirac Suzgun, Luke Melas-Kyriazi, and Dan Jurafsky. 2022a
Cited in the paper.
Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K Sarkar, Scott Duke Kominers, and Stuart M Shieber. 2022b
Cited in the paper.
Torch-Struct: Deep structured prediction library
Alexander Rush. 2020 · 2020
Later among the works it cites.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
Later among the works it cites.
BERTScore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Later among the works it cites.
BARTScore: Evaluating generated text as text generation
Weizhe Yuan, Graham Neubig, and Pengfei Liu. 2021 · 2021
Later among the works it cites.
Facebook AI similarity search (FAISS), part II
Vlad Feinberg. 2019 · 2023
Closest in time.