Topbots

JUNE 15, 2023

Language Disparity in Natural Language Processing This digital divide in natural language processing (NLP) is an active area of research. 70% of research papers published in a computational linguistics conference only evaluated English.[ Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold.

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Explosion

DECEMBER 28, 2019

Jan 15: The year started out with us as guests on the NLP Highlights podcast , hosted by Matt Gardner and Waleed Ammar of Allen AI. In the interview, Matt and Ines talked about Prodigy , where training corpora come from and the challenges of annotating data for an NLP system – with some ideas about how to make it easier. ?

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Allen AI

MAY 30, 2023

2020; Awad et al., 2020) and enriching it with questions obtained from GPT3. 42 (2020): 26158–26169. In Findings of the Association for Computational Linguistics: EMNLP 2020 , pp. 2022; Levine et al., SocialChem, Rudinger et al. Proceedings of the National Academy of Sciences 117, no. Smith, and Yejin Choi.

Computational Linguistics 52

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Sebastian Ruder

DECEMBER 6, 2021

2020 ) train models to maximize the similarity between question and passage and then retrieve the most relevant passages via maximum inner product search. 2020 ) Multi-Domain QA In each of the two main sections of this post, we will first discuss common datasets and then modelling approaches. 2020 ) and AskUbuntu ( dos Santos et al.,

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Topbots

JANUARY 30, 2023

Making the transition from classical language generation to recognising and responding to specific communicative intents is an important step to achieve better acceptance of user-facing NLP systems, especially in Conversational AI. Association for Computational Linguistics. [2] Association for Computational Linguistics. [4]

Large Language Models 52

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Sebastian Ruder

JUNE 6, 2022

Seeing the emergence of such multilingual multimodal approaches is particularly encouraging as it is an improvement over the previous year’s ACL where multimodal approaches mainly dealt with English (based on an analysis of “multi-dimensional” NLP research we did for an ACL 2022 Findings paper ). Hershcovich et al.

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John Snow Labs

DECEMBER 26, 2023

Sentiment analysis, a branch of natural language processing (NLP), has evolved as an effective method for determining the underlying attitudes, emotions, and views represented in textual information. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Gopalakrishnan, K., & Salem, F.

Neural Network 52

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The Stanford AI Lab Blog

JANUARY 21, 2022

self-supervised or cheaply supervised learning) has been the backbone of the many recent successes of foundation models 3 in NLP 4 5 6 7 8 9 and vision 10 11 12. Conference of the North American Chapter of the Association for Computational Linguistics. ↩ Devlin, J., Florence: A New Foundation Model for Computer Vision.

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The Stanford AI Lab Blog

OCTOBER 13, 2021

Across a range of applications from vision 1 2 3 and NLP 4 5 , even simple selective classifiers, relying only on model logits, routinely and often dramatically improve accuracy by abstaining. In Association for Computational Linguistics (ACL), pp. 151–159, 2020. ↩ C. In World Wide Web (WWW), pp. Earnshaw, Imran S.

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Applied Data Science

DECEMBER 23, 2022

In our review of 2019 we talked a lot about reinforcement learning and Generative Adversarial Networks (GANs), in 2020 we focused on Natural Language Processing (NLP) and algorithmic bias, in 202 1 Transformers stole the spotlight. Just wait until you hear what happened in 2022.

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Marek Rei

OCTOBER 4, 2019

The growth of interest in NLP technology, fuelled largely by investment in AI applications, has been accompanied by unprecedented expansion of the preeminent NLP conferences: ACL, NAACL and EMNLP in particular. Paper count by country at the 2018 NLP conferences. Normalized paper count by country at the 2018 NLP conferences.

NLP 52

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ML @ CMU

SEPTEMBER 22, 2023

Trends Human Computer Interaction. [2] Adaptive Testing and Debugging of NLP Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [3] In CHI Conference on Human Factors in Computing Systems. [5] 2] Marco Tulio Ribeiro and Scott Lundberg.

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