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Mutual labels: question-answering
dialogbotdialogbot, provide search-based dialogue, task-based dialogue and generative dialogue model. 对话机器人,基于问答型对话、任务型对话、聊天型对话等模型实现,支持网络检索问答,领域知识问答,任务引导问答,闲聊问答,开箱即用。
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Mutual labels: question-answering
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Mutual labels: question-answering
KitanaQAKitanaQA: Adversarial training and data augmentation for neural question-answering models
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hf-experimentsExperiments with Hugging Face 🔬 🤗
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verseagilityRamp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
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strategyqaThe official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".
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pair2vecpair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference
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TransTQAAuthor: Wenhao Yu (
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GrailQANo description or website provided.
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django-simple-forumfull featured forum, easy to integrate and use.
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TeBaQAA question answering system which utilises machine learning.
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