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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. - : Underline Science Inc., 2021 BASE Show 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 Abstract: We build a virtual agent for learning language in a 2D maze-like world. The agent sees images of the surrounding environment, listens to a virtual teacher, and takes actions to receive rewards. It interactively learns the teacher's language from scratch based on two language use cases: sentence-directed navigation and question answering. It learns simultaneously the visual representations of the world, the language, and the action control. By disentangling language grounding from other computational routines and sharing a concept detection function between language grounding and prediction, the agent reliably interpolates and extrapolates to interpret sentences that contain new word combinations or new words missing from training sentences. The new words are transferred from the answers of language prediction. Such a language ability is trained and evaluated on a population of over 1.6 million distinct sentences consisting of 119 object words, 8 color words, 9 spatial-relation words, and 50 grammatical ... : ICLR 2018 (Figure 6 caption improved) ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/1802.01433 https://dx.doi.org/10.48550/arxiv.1802.01433 BASE Hide 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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