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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; Xu, Wei; Callison-Burch, Chris. - : arXiv, 2021 Abstract: An important task in NLP applications such as sentence simplification is the ability to take a long, complex sentence and split it into shorter sentences, rephrasing as necessary. We introduce a novel dataset and a new model for this `split and rephrase' task. Our BiSECT training data consists of 1 million long English sentences paired with shorter, meaning-equivalent English sentences. We obtain these by extracting 1-2 sentence alignments in bilingual parallel corpora and then using machine translation to convert both sides of the corpus into the same language. BiSECT contains higher quality training examples than previous Split and Rephrase corpora, with sentence splits that require more significant modifications. We categorize examples in our corpus, and use these categories in a novel model that allows us to target specific regions of the input sentence to be split and edited. Moreover, we show that models trained on BiSECT can perform a wider variety of split operations and improve upon previous ... : 9 pages, 9 figures. Long paper to appear in Empirical Methods in Natural Language Processing 2021 (EMNLP 2021) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2109.05006 https://dx.doi.org/10.48550/arxiv.2109.05006 BASE Hide 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 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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