Моўная мадэль (Belarusian Wikipedia)

Analysis of information sources in references of the Wikipedia article "Моўная мадэль" in Belarusian language version.

refsWebsite

Global rank Belarusian rank

13web.archive.org

1^st place

2^nd place

6doi.org

2^nd place

22^nd place

3arxiv.org

69^th place

311^th place

2stanford.edu

179^th place

342^nd place

1figshare.com

5,893^rd place

low place

1semanticscholar.org

11^th place

3,063^rd place

1researchgate.net

120^th place

575^th place

1aclweb.org

low place

1karpathy.github.io

low place

1scholarpedia.org

low place

1harvard.edu

18^th place

75^th place

1nyu-mll.github.io

low place

1gluebenchmark.com

low place

1microsoft.com

153^rd place

171^st place

1uiuc.edu

3,087^th place

4,433^rd place

1rajpurkar.github.io

low place

1github.com

383^rd place

331^st place

aclweb.org

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

arxiv.org

Pham, Vu, et al (2014). "Dropout improves recurrent neural networks for handwriting recognition" Архівавана 11 лістапада 2020 года.. 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" Архівавана 14 жніўня 2022 года.. arΧiv:1808.10000.
Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (2018-10-10). "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding". arXiv:1810.04805 [cs.CL].

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.
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. Архівавана з арыгінала 26 October 2020. Праверана 28 August 2015.
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

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 (2023-03-14), Measuring Massive Multitask Language Understanding, Архівавана з арыгінала 15 March 2023, Праверана 2023-03-15

gluebenchmark.com

GLUE Benchmark (англ.). gluebenchmark.com. Архівавана з першакрыніцы 4 November 2020. Праверана 25 лютага 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. Архівавана з арыгінала 26 October 2020. Праверана 28 August 2015.

karpathy.github.io

The Unreasonable Effectiveness of Recurrent Neural Networks (нявызн.). Архівавана з першакрыніцы 1 November 2020. Праверана 27 January 2019.

microsoft.com

Microsoft Research Paraphrase Corpus(нявызн.). Microsoft Download Center. Архівавана з першакрыніцы 25 October 2020. Праверана 25 лютага 2019.

nyu-mll.github.io

The Corpus of Linguistic Acceptability (CoLA) (нявызн.). nyu-mll.github.io. Архівавана з першакрыніцы 7 December 2020. Праверана 25 лютага 2019.

rajpurkar.github.io

The Stanford Question Answering Dataset (нявызн.). rajpurkar.github.io. Архівавана з першакрыніцы 30 October 2020. Праверана 25 лютага 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. Архівавана з арыгінала 26 October 2020. Праверана 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.

stanford.edu

web.stanford.edu

Jurafsky, Dan; Martin, James H. (2021). "N-gram Language Models". Speech and Language Processing (3rd ed.). Архівавана з арыгінала 22 May 2022. Праверана 24 May 2022.

nlp.stanford.edu

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (нявызн.). nlp.stanford.edu. Архівавана з першакрыніцы 27 October 2020. Праверана 25 лютага 2019.

uiuc.edu

l2r.cs.uiuc.edu

Recognizing Textual Entailment (нявызн.)(недаступная спасылка). Архівавана з першакрыніцы 9 August 2017. Праверана February 24, 2019.

web.archive.org

Jurafsky, Dan; Martin, James H. (2021). "N-gram Language Models". Speech and Language Processing (3rd ed.). Архівавана з арыгінала 22 May 2022. Праверана 24 May 2022.
Andreas, Jacob, Andreas Vlachos, and Stephen Clark (2013). "Semantic parsing as machine translation" Архівавана 15 жніўня 2020 года.. 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" Архівавана 11 лістапада 2020 года.. 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" Архівавана 14 жніўня 2022 года.. arΧiv:1808.10000.
The Unreasonable Effectiveness of Recurrent Neural Networks (нявызн.). Архівавана з першакрыніцы 1 November 2020. Праверана 27 January 2019.
Bengio, Yoshua (2008). "Neural net language models". Scholarpedia. Vol. 3. p. 3881. Bibcode:2008SchpJ...3.3881B. doi:10.4249/scholarpedia.3881. Архівавана з арыгінала 26 October 2020. Праверана 28 August 2015.
The Corpus of Linguistic Acceptability (CoLA) (нявызн.). nyu-mll.github.io. Архівавана з першакрыніцы 7 December 2020. Праверана 25 лютага 2019.
GLUE Benchmark (англ.). gluebenchmark.com. Архівавана з першакрыніцы 4 November 2020. Праверана 25 лютага 2019.
Microsoft Research Paraphrase Corpus(нявызн.). Microsoft Download Center. Архівавана з першакрыніцы 25 October 2020. Праверана 25 лютага 2019.
Recognizing Textual Entailment (нявызн.)(недаступная спасылка). Архівавана з першакрыніцы 9 August 2017. Праверана February 24, 2019.
The Stanford Question Answering Dataset (нявызн.). rajpurkar.github.io. Архівавана з першакрыніцы 30 October 2020. Праверана 25 лютага 2019.
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (нявызн.). nlp.stanford.edu. Архівавана з першакрыніцы 27 October 2020. Праверана 25 лютага 2019.
Hendrycks, Dan (2023-03-14), Measuring Massive Multitask Language Understanding, Архівавана з арыгінала 15 March 2023, Праверана 2023-03-15