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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
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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)
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BiSECT: Learning to Split and Rephrase Sentences with Bitexts ...
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Pre-train or Annotate? Domain Adaptation with a Constrained Budget ...
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BiSECT: Learning to Split and Rephrase Sentences with Bitexts ...
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Sample data for "Design and Collection Challenges of Building an Academic Email Corpus for Linguistics and Computational Research" ...
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Sample data for "Design and Collection Challenges of Building an Academic Email Corpus for Linguistics and Computational Research" ...
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Controllable Text Simplification with Explicit Paraphrasing ...
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The effectiveness of the problem-based learning in medical cell biology education: A systematic meta-analysis
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In: Medicine (Baltimore) (2021)
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Controllable text simplification with explicit paraphrasing
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An Empirical Study of Pre-trained Transformers for Arabic Information Extraction ...
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Controllable Text Simplification with Explicit Paraphrasing ...
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Interactive Grounded Language Acquisition and Generalization in a 2D World ...
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Interactive Language Acquisition with One-shot Visual Concept Learning through a Conversational Game ...
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Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents ...
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Abstract:
Recently there has been a rising interest in training agents, embodied in virtual environments, to perform language-directed tasks by deep reinforcement learning. In this paper, we propose a simple but effective neural language grounding module for embodied agents that can be trained end to end from scratch taking raw pixels, unstructured linguistic commands, and sparse rewards as the inputs. We model the language grounding process as a language-guided transformation of visual features, where latent sentence embeddings are used as the transformation matrices. In several language-directed navigation tasks that feature challenging partial observability and require simple reasoning, our module significantly outperforms the state of the art. We also release XWorld3D, an easy-to-customize 3D environment that can potentially be modified to evaluate a variety of embodied agents. ... : CoRL 2018 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG; Robotics cs.RO
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URL: https://arxiv.org/abs/1805.08329 https://dx.doi.org/10.48550/arxiv.1805.08329
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A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification ...
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A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment ...
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A Continuously Growing Dataset of Sentential Paraphrases ...
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Spectral Entropy Can Predict Changes of Working Memory Performance Reduced by Short-Time Training in the Delayed-Match-to-Sample Task
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