Language model (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Language model" in English language version.

refsWebsite

Global rank English rank

19web.archive.org

1^st place

8doi.org

2^nd place

4arxiv.org

69^th place

59^th place

3stanford.edu

179^th place

183^rd place

2semanticscholar.org

11^th place

8^th place

1figshare.com

5,893^rd place

3,320^th place

1researchgate.net

120^th place

125^th place

1aclweb.org

low place

6,793^rd place

1nih.gov

4^th place

1acm.org

1,185^th place

840^th place

1ed.ac.uk

1,871^st place

1,234^th place

1nips.cc

low place

7,050^th place

1karpathy.github.io

low place

1scholarpedia.org

low place

1harvard.edu

18^th place

17^th place

1openai.com

1,559^th place

1,155^th place

1neurips.cc

low place

1eswc-conferences.org

low place

1amacad.org

3,464^th place

2,377^th place

1books.google.com

3^rd place

1nyu-mll.github.io

low place

1gluebenchmark.com

low place

1microsoft.com

153^rd place

151^st place

1uiuc.edu

3,087^th place

2,519^th place

1rajpurkar.github.io

low place

1github.com

383^rd place

320^th place

aclweb.org

Andreas, Jacob, Andreas Vlachos, and Stephen Clark (2013). "Semantic parsing as machine translation" Archived 15 August 2020 at the Wayback Machine. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).

acm.org

dl.acm.org

Bengio, Yoshua; Ducharme, Réjean; Vincent, Pascal; Janvin, Christian (1 March 2003). "A neural probabilistic language model". The Journal of Machine Learning Research. 3: 1137–1155 – via ACM Digital Library.

amacad.org

Manning, Christopher D. (2022). "Human Language Understanding & Reasoning". Daedalus. 151 (2): 127–138. doi:10.1162/daed_a_01905. S2CID 248377870. Archived from the original on 17 November 2023. Retrieved 9 March 2023.

arxiv.org

Pham, Vu, et al (2014). "Dropout improves recurrent neural networks for handwriting recognition" Archived 11 November 2020 at the Wayback Machine. 14th International Conference on Frontiers in Handwriting Recognition. IEEE.
Htut, Phu Mon, Kyunghyun Cho, and Samuel R. Bowman (2018). "Grammar induction with neural language models: An unusual replication" Archived 14 August 2022 at the Wayback Machine. arXiv:1808.10000.
Mikolov, Tomas; Chen, Kai; Corrado, Greg; Dean, Jeffrey (2013). "Efficient estimation of word representations in vector space". arXiv:1301.3781 [cs.CL].
Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (10 October 2018). "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding". arXiv:1810.04805 [cs.CL].

books.google.com

Hornstein, Norbert; Lasnik, Howard; Patel-Grosz, Pritty; Yang, Charles (9 January 2018). Syntactic Structures after 60 Years: The Impact of the Chomskyan Revolution in Linguistics. Walter de Gruyter GmbH & Co KG. ISBN 978-1-5015-0692-5. Archived from the original on 16 April 2023. Retrieved 11 December 2021.

doi.org

Rosenfeld, Ronald (2000). "Two decades of statistical language modeling: Where do we go from here?". Proceedings of the IEEE. 88 (8): 1270–1278. doi:10.1109/5.880083. S2CID 10959945.
Liu, Yang; Wu, Fanyou; Liu, Zhiyuan; Wang, Kai; Wang, Feiyue; Qu, Xiaobo (2023). "Can language models be used for real-world urban-delivery route optimization?". The Innovation. 4 (6): 100520. doi:10.1016/j.xinn.2023.100520. PMC 10587631.
Ponte, Jay M.; Croft, W. Bruce (1998). A language modeling approach to information retrieval. Proceedings of the 21st ACM SIGIR Conference. Melbourne, Australia: ACM. pp. 275–281. doi:10.1145/290941.291008.
Hiemstra, Djoerd (1998). A linguistically motivated probabilistically model of information retrieval. Proceedings of the 2nd European conference on Research and Advanced Technology for Digital Libraries. LNCS, Springer. pp. 569–584. doi:10.1007/3-540-49653-X_34.
Bengio, Yoshua (2008). "Neural net language models". Scholarpedia. Vol. 3. p. 3881. Bibcode:2008SchpJ...3.3881B. doi:10.4249/scholarpedia.3881. Archived from the original on 26 October 2020. Retrieved 28 August 2015.
Manning, Christopher D. (2022). "Human Language Understanding & Reasoning". Daedalus. 151 (2): 127–138. doi:10.1162/daed_a_01905. S2CID 248377870. Archived from the original on 17 November 2023. Retrieved 9 March 2023.
Karlgren, Jussi; Schutze, Hinrich (2015), "Evaluating Learning Language Representations", International Conference of the Cross-Language Evaluation Forum, Lecture Notes in Computer Science, Springer International Publishing, pp. 254–260, doi:10.1007/978-3-319-64206-2_8, ISBN 9783319642055
Aghaebrahimian, Ahmad (2017), "Quora Question Answer Dataset", Text, Speech, and Dialogue, Lecture Notes in Computer Science, vol. 10415, Springer International Publishing, pp. 66–73, doi:10.1007/978-3-319-64206-2_8, ISBN 9783319642055

ed.ac.uk

homepages.inf.ed.ac.uk

David Guthrie; et al. (2006). "A Closer Look at Skip-gram Modelling" (PDF). Archived from the original (PDF) on 17 May 2017. Retrieved 27 April 2014.

eswc-conferences.org

2024.eswc-conferences.org

Fathallah, Nadeen; Das, Arunav; De Giorgis, Stefano; Poltronieri, Andrea; Haase, Peter; Kovriguina, Liubov (26 May 2024). NeOn-GPT: A Large Language Model-Powered Pipeline for Ontology Learning (PDF). Extended Semantic Web Conference 2024. Hersonissos, Greece.

figshare.com

Rosenfeld, Ronald (2000). "Two decades of statistical language modeling: Where do we go from here?". Proceedings of the IEEE. 88 (8): 1270–1278. doi:10.1109/5.880083. S2CID 10959945.

github.com

Hendrycks, Dan (14 March 2023), Measuring Massive Multitask Language Understanding, archived from the original on 15 March 2023, retrieved 15 March 2023

gluebenchmark.com

"GLUE Benchmark". gluebenchmark.com. Archived from the original on 4 November 2020. Retrieved 25 February 2019.

harvard.edu

ui.adsabs.harvard.edu

Bengio, Yoshua (2008). "Neural net language models". Scholarpedia. Vol. 3. p. 3881. Bibcode:2008SchpJ...3.3881B. doi:10.4249/scholarpedia.3881. Archived from the original on 26 October 2020. Retrieved 28 August 2015.

karpathy.github.io

Karpathy, Andrej. "The Unreasonable Effectiveness of Recurrent Neural Networks". Archived from the original on 1 November 2020. Retrieved 27 January 2019.

microsoft.com

"Microsoft Research Paraphrase Corpus". Microsoft Download Center. Archived from the original on 25 October 2020. Retrieved 25 February 2019.

neurips.cc

proceedings.neurips.cc

Brown, Tom B.; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda; Agarwal, Sandhini; Herbert-Voss, Ariel; Krueger, Gretchen; Henighan, Tom; Child, Rewon; Ramesh, Aditya; Ziegler, Daniel M.; Wu, Jeffrey; Winter, Clemens; Hesse, Christopher; Chen, Mark; Sigler, Eric; Litwin, Mateusz; Gray, Scott; Chess, Benjamin; Clark, Jack; Berner, Christopher; McCandlish, Sam; Radford, Alec; Sutskever, Ilya; Amodei, Dario (December 2020). Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.F.; Lin, H. (eds.). "Language Models are Few-Shot Learners" (PDF). Advances in Neural Information Processing Systems. 33. Curran Associates, Inc.: 1877–1901. Archived (PDF) from the original on 17 November 2023. Retrieved 14 March 2023.

nih.gov

ncbi.nlm.nih.gov

Liu, Yang; Wu, Fanyou; Liu, Zhiyuan; Wang, Kai; Wang, Feiyue; Qu, Xiaobo (2023). "Can language models be used for real-world urban-delivery route optimization?". The Innovation. 4 (6): 100520. doi:10.1016/j.xinn.2023.100520. PMC 10587631.

nips.cc

papers.nips.cc

Mikolov, Tomas; Sutskever, Ilya; Chen, Kai; Corrado irst4=Greg S.; Dean, Jeff (2013). Distributed Representations of Words and Phrases and their Compositionality (PDF). Advances in Neural Information Processing Systems. pp. 3111–3119. Archived (PDF) from the original on 29 October 2020. Retrieved 22 June 2015.{{cite conference}}: CS1 maint: numeric names: authors list (link)

nyu-mll.github.io

"The Corpus of Linguistic Acceptability (CoLA)". nyu-mll.github.io. Archived from the original on 7 December 2020. Retrieved 25 February 2019.

openai.com

"Better Language Models and Their Implications". OpenAI. 14 February 2019. Archived from the original on 19 December 2020. Retrieved 25 August 2019.

rajpurkar.github.io

"The Stanford Question Answering Dataset". rajpurkar.github.io. Archived from the original on 30 October 2020. Retrieved 25 February 2019.

researchgate.net

Kuhn, Roland, and Renato De Mori (1990). "A cache-based natural language model for speech recognition". IEEE transactions on pattern analysis and machine intelligence 12.6: 570–583.

scholarpedia.org

Bengio, Yoshua (2008). "Neural net language models". Scholarpedia. Vol. 3. p. 3881. Bibcode:2008SchpJ...3.3881B. doi:10.4249/scholarpedia.3881. Archived from the original on 26 October 2020. Retrieved 28 August 2015.

semanticscholar.org

api.semanticscholar.org

Rosenfeld, Ronald (2000). "Two decades of statistical language modeling: Where do we go from here?". Proceedings of the IEEE. 88 (8): 1270–1278. doi:10.1109/5.880083. S2CID 10959945.
Manning, Christopher D. (2022). "Human Language Understanding & Reasoning". Daedalus. 151 (2): 127–138. doi:10.1162/daed_a_01905. S2CID 248377870. Archived from the original on 17 November 2023. Retrieved 9 March 2023.

stanford.edu

web.stanford.edu

Jurafsky, Dan; Martin, James H. (2021). "N-gram Language Models". Speech and Language Processing (3rd ed.). Archived from the original on 22 May 2022. Retrieved 24 May 2022.
Jurafsky, Dan; Martin, James H. (7 January 2023). "N-gram Language Models". Speech and Language Processing (PDF) (3rd edition draft ed.). Retrieved 24 May 2022.

nlp.stanford.edu

"Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank". nlp.stanford.edu. Archived from the original on 27 October 2020. Retrieved 25 February 2019.

uiuc.edu

l2r.cs.uiuc.edu

Sammons, V.G.Vinod Vydiswaran, Dan Roth, Mark; Vydiswaran, V.G.; Roth, Dan. "Recognizing Textual Entailment" (PDF). Archived from the original (PDF) on 9 August 2017. Retrieved 24 February 2019.{{cite web}}: CS1 maint: multiple names: authors list (link)

web.archive.org

Jurafsky, Dan; Martin, James H. (2021). "N-gram Language Models". Speech and Language Processing (3rd ed.). Archived from the original on 22 May 2022. Retrieved 24 May 2022.
Andreas, Jacob, Andreas Vlachos, and Stephen Clark (2013). "Semantic parsing as machine translation" Archived 15 August 2020 at the Wayback Machine. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).
Pham, Vu, et al (2014). "Dropout improves recurrent neural networks for handwriting recognition" Archived 11 November 2020 at the Wayback Machine. 14th International Conference on Frontiers in Handwriting Recognition. IEEE.
Htut, Phu Mon, Kyunghyun Cho, and Samuel R. Bowman (2018). "Grammar induction with neural language models: An unusual replication" Archived 14 August 2022 at the Wayback Machine. arXiv:1808.10000.
David Guthrie; et al. (2006). "A Closer Look at Skip-gram Modelling" (PDF). Archived from the original (PDF) on 17 May 2017. Retrieved 27 April 2014.
Mikolov, Tomas; Sutskever, Ilya; Chen, Kai; Corrado irst4=Greg S.; Dean, Jeff (2013). Distributed Representations of Words and Phrases and their Compositionality (PDF). Advances in Neural Information Processing Systems. pp. 3111–3119. Archived (PDF) from the original on 29 October 2020. Retrieved 22 June 2015.{{cite conference}}: CS1 maint: numeric names: authors list (link)
Karpathy, Andrej. "The Unreasonable Effectiveness of Recurrent Neural Networks". Archived from the original on 1 November 2020. Retrieved 27 January 2019.
Bengio, Yoshua (2008). "Neural net language models". Scholarpedia. Vol. 3. p. 3881. Bibcode:2008SchpJ...3.3881B. doi:10.4249/scholarpedia.3881. Archived from the original on 26 October 2020. Retrieved 28 August 2015.
"Better Language Models and Their Implications". OpenAI. 14 February 2019. Archived from the original on 19 December 2020. Retrieved 25 August 2019.
Brown, Tom B.; Mann, Benjamin; Ryder, Nick; Subbiah, Melanie; Kaplan, Jared; Dhariwal, Prafulla; Neelakantan, Arvind; Shyam, Pranav; Sastry, Girish; Askell, Amanda; Agarwal, Sandhini; Herbert-Voss, Ariel; Krueger, Gretchen; Henighan, Tom; Child, Rewon; Ramesh, Aditya; Ziegler, Daniel M.; Wu, Jeffrey; Winter, Clemens; Hesse, Christopher; Chen, Mark; Sigler, Eric; Litwin, Mateusz; Gray, Scott; Chess, Benjamin; Clark, Jack; Berner, Christopher; McCandlish, Sam; Radford, Alec; Sutskever, Ilya; Amodei, Dario (December 2020). Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.F.; Lin, H. (eds.). "Language Models are Few-Shot Learners" (PDF). Advances in Neural Information Processing Systems. 33. Curran Associates, Inc.: 1877–1901. Archived (PDF) from the original on 17 November 2023. Retrieved 14 March 2023.
Manning, Christopher D. (2022). "Human Language Understanding & Reasoning". Daedalus. 151 (2): 127–138. doi:10.1162/daed_a_01905. S2CID 248377870. Archived from the original on 17 November 2023. Retrieved 9 March 2023.
Hornstein, Norbert; Lasnik, Howard; Patel-Grosz, Pritty; Yang, Charles (9 January 2018). Syntactic Structures after 60 Years: The Impact of the Chomskyan Revolution in Linguistics. Walter de Gruyter GmbH & Co KG. ISBN 978-1-5015-0692-5. Archived from the original on 16 April 2023. Retrieved 11 December 2021.
"The Corpus of Linguistic Acceptability (CoLA)". nyu-mll.github.io. Archived from the original on 7 December 2020. Retrieved 25 February 2019.
"GLUE Benchmark". gluebenchmark.com. Archived from the original on 4 November 2020. Retrieved 25 February 2019.
"Microsoft Research Paraphrase Corpus". Microsoft Download Center. Archived from the original on 25 October 2020. Retrieved 25 February 2019.
Sammons, V.G.Vinod Vydiswaran, Dan Roth, Mark; Vydiswaran, V.G.; Roth, Dan. "Recognizing Textual Entailment" (PDF). Archived from the original (PDF) on 9 August 2017. Retrieved 24 February 2019.{{cite web}}: CS1 maint: multiple names: authors list (link)
"The Stanford Question Answering Dataset". rajpurkar.github.io. Archived from the original on 30 October 2020. Retrieved 25 February 2019.
"Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank". nlp.stanford.edu. Archived from the original on 27 October 2020. Retrieved 25 February 2019.
Hendrycks, Dan (14 March 2023), Measuring Massive Multitask Language Understanding, archived from the original on 15 March 2023, retrieved 15 March 2023