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Monocular Depth Estimation with Self-Supervised Learning for Vineyard Unmanned Agricultural Vehicle
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In: Sensors (Basel) (2022)
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Contextual Embeddings: When Are They Worth It? ...
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Abstract:
We study the settings for which deep contextual embeddings (e.g., BERT) give large improvements in performance relative to classic pretrained embeddings (e.g., GloVe), and an even simpler baseline---random word embeddings---focusing on the impact of the training set size and the linguistic properties of the task. Surprisingly, we find that both of these simpler baselines can match contextual embeddings on industry-scale data, and often perform within 5 to 10% accuracy (absolute) on benchmark tasks. Furthermore, we identify properties of data for which contextual embeddings give particularly large gains: language containing complex structure, ambiguous word usage, and words unseen in training. ... : ACL 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/2005.09117 https://dx.doi.org/10.48550/arxiv.2005.09117
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Translational regulation of Chk1 expression by eIF3a via interaction with the RNA-binding protein HuR
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In: Biochem J (2020)
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Lexical richness of Chinese candidates in the graded oral English examinations
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Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking ...
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Additional file 1: of Estimating the prevalence of schistosomiasis japonica in China: a serological approach ...
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Additional file 1: of Estimating the prevalence of schistosomiasis japonica in China: a serological approach ...
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Alkali-silica reaction in waterglass-activated slag mortars incorporating fly ash and metakaolin
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Domain adaptation for statistical machine translation and neural machine translation
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Zhang, Jian. - : Dublin City University. School of Computing, 2017. : Dublin City University. ADAPT, 2017
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In: Zhang, Jian orcid:0000-0001-5659-5865 (2017) Domain adaptation for statistical machine translation and neural machine translation. PhD thesis, Dublin City University. (2017)
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Fast gated neural domain adaptation: language model as a case study
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In: Zhang, Jian orcid:0000-0001-5659-5865 , Wu, Xiaofeng, Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2017) Fast gated neural domain adaptation: language model as a case study. In: Proceedings of FETLT 2016: Future and Emerging Trends in Language Technologies, Machine Learning and Big Data, 30 Nov- 2 Dec 2016, Seville, Spain. (2017)
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Refining Image Categorization by Exploiting Web Images and General Corpus ...
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The global view of mRNA-related ceRNA cross-talks across cardiovascular diseases
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Two-Stage Friend Recommendation Based on Network Alignment and Series Expansion of Probabilistic Topic Model
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In: Faculty of Engineering and Information Sciences - Papers: Part B (2017)
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Topic-informed neural machine translation
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In: Zhang, Jian, Li, Liangyou orcid:0000-0002-0279-003X , Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2016) Topic-informed neural machine translation. In: 26th International Conference on Computational Linguistics, 13-16 Dec 2016, Osaka, Japan. (2016)
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Chinese Relative Clauses Processing in Supportive Context Removing Ambiguity
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In: Studies in Literature and Language; Vol 1, No 4 (2010): Studies in Literature and Language; 12-19 ; 1923-1563 ; 1923-1555 (2010)
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