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EnvEdit: Environment Editing for Vision-and-Language Navigation ...
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Homepage2Vec: Language-Agnostic Website Embedding and Classification ...
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Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER ...
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A new approach to calculating BERTScore for automatic assessment of translation quality ...
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A New Generation of Perspective API: Efficient Multilingual Character-level Transformers ...
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ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language ...
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EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation ...
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Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ...
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A Feasibility Study of Answer-Agnostic Question Generation for Education ...
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Language Generation for Broad-Coverage, Explainable Cognitive Systems ...
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Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency ...
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Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics ...
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Abstract:
This paper focuses on robotic reinforcement learning with sparse rewards for natural language goal representations. An open problem is the sample-inefficiency that stems from the compositionality of natural language, and from the grounding of language in sensory data and actions. We address these issues with three contributions. We first present a mechanism for hindsight instruction replay utilizing expert feedback. Second, we propose a seq2seq model to generate linguistic hindsight instructions. Finally, we present a novel class of language-focused learning tasks. We show that hindsight instructions improve the learning performance, as expected. In addition, we also provide an unexpected result: We show that the learning performance of our agent can be improved by one third if, in a sense, the agent learns to talk to itself in a self-supervised manner. We achieve this by learning to generate linguistic instructions that would have been appropriate as a natural language goal for an originally unintended ... : Preprint ICDL 2022 ...
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Keyword:
Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.2204.04308 https://arxiv.org/abs/2204.04308
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Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity ...
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Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding ...
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