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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 31 1 The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Gehrmann, Sebastian; Adewumi, Tosin; Aggarwal, Karmanya... In: Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021) ; https://hal.archives-ouvertes.fr/hal-03466171 ; Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩ (2021) BASE Show details 2 BiSECT: Learning to Split and Rephrase Sentences with Bitexts ... Kim, Joongwon; Maddela, Mounica; Kriz, Reno. - : arXiv, 2021 BASE Show details 3 Neural semi-Markov CRF for Monolingual Word Alignment ... Lan, Wuwei; Jiang, Chao; Xu, Wei. - : arXiv, 2021 BASE Show details 4 Pre-train or Annotate? Domain Adaptation with a Constrained Budget ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bai, Fan; Ritter, Alan; Xu, Wei. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.409/ Abstract: Recent work has demonstrated that pre-training in-domain language models can boost performance when adapting to a new domain. However, the costs associated with pre-training raise an important question: given a fixed budget, what steps should an NLP practitioner take to maximize performance? In this paper, we study domain adaptation under budget constraints, and approach it as a customer choice problem between data annotation and pre-training. Specifically, we measure the annotation cost of three procedural text datasets and the pre-training cost of three in-domain language models. Then we evaluate the utility of different combinations of pre-training and data annotation under varying budget constraints to assess which combination strategy works best. We find that, for small budgets, spending all funds on annotation leads to the best performance; once the budget becomes large enough, a combination of data annotation and in-domain ... Keyword: Computational Linguistics; Language Models; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/37963-pre-train-or-annotatequestion-domain-adaptation-with-a-constrained-budget https://dx.doi.org/10.48448/z1gf-n855 BASE Hide details 5 Neural semi-Markov CRF for Monolingual Word Alignment ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Jiang, Chao; Lan, Wuwei. - : Underline Science Inc., 2021 BASE Show details 6 BiSECT: Learning to Split and Rephrase Sentences with Bitexts ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Callison-Burch, Chris; Kim, Joongwon. - : Underline Science Inc., 2021 BASE Show details 7 Sample data for "Design and Collection Challenges of Building an Academic Email Corpus for Linguistics and Computational Research" ... Diaz, Damian Yukio Romero; Hanyu Jia; Xu, Wei. - : University of Arizona Research Data Repository, 2021 BASE Show details 8 Sample data for "Design and Collection Challenges of Building an Academic Email Corpus for Linguistics and Computational Research" ... Romero Diaz, Damian Yukio; Jia, Hanyu; Xu, Wei. - : University of Arizona Research Data Repository, 2021 BASE Show details 9 Controllable Text Simplification with Explicit Paraphrasing ... NAACL 2021 2021; Alva-Manchego, Fernando; Maddela, Mounica. - : Underline Science Inc., 2021 BASE Show details 10 The effectiveness of the problem-based learning in medical cell biology education: A systematic meta-analysis Xu, Wei; Ye, Tingjie; Wang, Xiaoling In: Medicine (Baltimore) (2021) BASE Show details 11 Controllable text simplification with explicit paraphrasing Maddela, Mounica; Alva-Manchego, Fernando; Xu, Wei. - : Association for Computational Linguistics, 2021 BASE Show details 12 An Empirical Study of Pre-trained Transformers for Arabic Information Extraction ... Lan, Wuwei; Chen, Yang; Xu, Wei. - : arXiv, 2020 BASE Show details 13 Controllable Text Simplification with Explicit Paraphrasing ... Maddela, Mounica; Alva-Manchego, Fernando; Xu, Wei. - : arXiv, 2020 BASE Show details 14 Interactive Grounded Language Acquisition and Generalization in a 2D World ... Yu, Haonan; Zhang, Haichao; Xu, Wei. - : arXiv, 2018 BASE Show details 15 Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game ... Zhang, Haichao; Yu, Haonan; Xu, Wei. - : arXiv, 2018 BASE Show details 16 Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents ... Yu, Haonan; Lian, Xiaochen; Zhang, Haichao. - : arXiv, 2018 BASE Show details 17 A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification ... Maddela, Mounica; Xu, Wei. - : arXiv, 2018 BASE Show details 18 A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment ... Yu, Haonan; Zhang, Haichao; Xu, Wei. - : arXiv, 2017 BASE Show details 19 A Continuously Growing Dataset of Sentential Paraphrases ... Lan, Wuwei; Qiu, Siyu; He, Hua. - : arXiv, 2017 BASE Show details 20 Spectral Entropy Can Predict Changes of Working Memory Performance Reduced by Short-Time Training in the Delayed-Match-to-Sample Task Tian, Yin; Zhang, Huiling; Xu, Wei. - : Frontiers Media S.A., 2017 BASE Show details Page: 1 2

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