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Leading NLP Ninjaでは最近のNLP (Natural Language Processing）に関連する論文をjojonkiが短く紹介します．気になったこと・質問・間違い等，フィードバック頂けると嬉しいです． 紹介する論文は，基本的に下記の論文まとめから取り上げる予定です． github.com/jojonki/arXivNotes/issues
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ep21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding by Leading NLP Ninja
ep24: BERT for Joint Intent Classification and Slot Filling by Leading NLP Ninja
ep23: End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis by Leading NLP Ninja
ep22: What are the biases in my data? by Leading NLP Ninja
ep20: Comprehensive evaluation of statistical speech waveform synthesis by Leading NLP Ninja
ep19: SentencePiece: A simple and language independent subword tokenizer and detokenizer for NLP by Leading NLP Ninja
ep18: PyText: A Seamless Path from NLP research to production by Leading NLP Ninja
ep6: Bag of Experts Architectures for Model Reuse in Conversational Language Understanding by Leading NLP Ninja
ep3: Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing by Leading NLP Ninja
ep4: CoQA: A Conversational Question Answering Challeng by Leading NLP Ninja
ep1: Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates. by Leading NLP Ninja
ep13: You May Not Need Attention by Leading NLP Ninja
ep10: Automatic Evaluation of Neural Personality-based Chatbots by Leading NLP Ninja
ep14: XNLI: Evaluating Cross-lingual Sentence Representations by Leading NLP Ninja
ep9: Learning and Evaluating Sparse Interpretable Sentence Embeddings by Leading NLP Ninja
ep15: Another Diversity-Promoting Objective Function for Neural Dialogue Generation by Leading NLP Ninja
ep8: Zero-Shot Adaptive Transfer for Conversational Language Understanding by Leading NLP Ninja
ep12: Word Embedding based Edit Distance by Leading NLP Ninja
ep5: Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue by Leading NLP Ninja
ep16: Contextual Topic Modeling For Dialog Systems by Leading NLP Ninja