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Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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Investigating Memorization of Conspiracy Theories in Text Generation ...
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Neural Stylistic Response Generation with Disentangled Latent Variables ...
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Modeling Disclosive Transparency in NLP Application Descriptions ...
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A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space ...
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Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering ...
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Evaluating Transformer-Based Multilingual Text Classification ...
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Cross-Lingual Vision-Language Navigation ...
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Abstract:
Commanding a robot to navigate with natural language instructions is a long-term goal for grounded language understanding and robotics. But the dominant language is English, according to previous studies on vision-language navigation (VLN). To go beyond English and serve people speaking different languages, we collect a bilingual Room-to-Room (BL-R2R) dataset, extending the original benchmark with new Chinese instructions. Based on this newly introduced dataset, we study how an agent can be trained on existing English instructions but navigate effectively with another language under a zero-shot learning scenario. Without any training data of the target language, our model shows competitive results even compared to a model with full access to the target language training data. Moreover, we investigate the transferring ability of our model when given a certain amount of target language training data. ...
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Keyword:
Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences; Robotics cs.RO
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URL: https://arxiv.org/abs/1910.11301 https://dx.doi.org/10.48550/arxiv.1910.11301
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TabFact: A Large-scale Dataset for Table-based Fact Verification ...
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Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization ...
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Analyzing and Interpreting Convolutional Neural Networks in NLP ...
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Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media ...
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"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection ...
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TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang ...
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“Love ya, jerkface”: using Sparse Log-Linear Models to Build Positive (and Impolite) Relationships with Teens ...
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