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Leading NLP Ninja

By jojonki

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. https://github.com/jojonki/arXivNotes/issues Support this podcast: https://anchor.fm/lnlp-ninja/support

  1. 1.
    ep52(ACL): A Two-Stage Masked LM Method for Term Set Expansion05/16/2020
    31:11
  2. 2.
    ep51 (arXiv): XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization04/18/2020
    27:27
  3. 3.
    ep50 (ICLR): ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators03/14/2020
    28:01
  4. 4.
    ep49 (ICASSP): Looking Enhances Listening: Recovering Missing Speech Using Images02/21/2020
    22:10
  5. 5.
    ep48 (AAAI): Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization02/09/2020
    38:33
  6. 6.
    ep47 (ICLR): ALBERT: A Lite BERT for Self-supervised Learning of Language Representations01/12/2020
    25:34
  7. 7.
    ep46: FreeLB: Enhanced Adversarial Training for Language Understanding01/01/2020
    24:20
  8. 8.
    ep45: Episodic Memory in Lifelong Language Learning12/01/2019
    36:02
  1. 9.
    ep44: 75 Languages, 1 Model: Parsing Universal Dependencies Universally11/24/2019
    36:03
  2. 10.
    ep43: BPE-Dropout: Simple and Effective Subword Regularization11/04/2019
    36:45
  3. 11.
    ep42: HuggingFace's Transformers: State-of-the-art Natural Language Processing10/20/2019
    19:44
  4. 12.
    ep41: A Simple Theoretical Model of Importance for Summarization09/15/2019
    45:25
  5. 13.
    ep40: OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs09/07/2019
    34:17
  6. 14.
    ep39: Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding08/20/2019
    26:04
  7. 15.
    ep38: Trends in Natural Language Processing: ACL 2019 In Review08/09/2019
    23:58
  8. 16.
    ep37: Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems07/15/2019
    26:15
  9. 17.
    ep36: A Survey of Reinforcement Learning Informed by Natural Language07/07/2019
    26:47
  10. 18.
    ep35: Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables06/30/2019
    26:36
  11. 19.
    ep34: Do Neural Dialog Systems Use the Conversation History Effectively? 06/07/2019
    16:30
  12. 20.
    ep33: Target-Guided Open-Domain Conversation06/01/2019
    38:41
  13. 21.
    ep32: We need to talk about standard splits05/26/2019
    22:17
  14. 22.
    ep31: CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge05/11/2019
    33:02
  15. 23.
    ep30: Probing the Need for Visual Context in Multimodal Machine Translation04/30/2019
    25:32
  16. 24.
    ep29: What's in a Name? Reducing Bias in Bios without Access to Protected Attributes04/22/2019
    31:18
  17. 25.
    ep28: Attention is not Explanation04/13/2019
    24:53
  18. 26.
    ep27: 今年度の振り返りとこれからについて03/31/2019
    17:14
  19. 27.
    ep26: 大規模な自動解析データが形態素解析器をどこまで小さくできるか03/23/2019
    16:19
  20. 28.
    ep25: サブワードに基づく単語分散表現の縮約モデリング 03/17/2019
    18:22
  21. 29.
    ep24: BERT for Joint Intent Classification and Slot Filling03/02/2019
    21:07
  22. 30.
    ep23: End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis02/24/2019
    29:19
  23. 31.
    ep22: What are the biases in my data?02/17/2019
    13:21
  24. 32.
    ep21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding02/03/2019
    32:19
  25. 33.
    ep20: Comprehensive evaluation of statistical speech waveform synthesis01/27/2019
    19:07
  26. 34.
    ep19: SentencePiece: A simple and language independent subword tokenizer and detokenizer for NLP01/20/2019
    37:24
  27. 35.
    ep18: PyText: A Seamless Path from NLP research to production01/14/2019
    28:02
  28. 36.
    ep17: User Modeling for Task Oriented Dialogues12/31/2018
    52:40
  29. 37.
    ep16: Contextual Topic Modeling For Dialog Systems12/09/2018
    29:07
  30. 38.
    ep15: Another Diversity-Promoting Objective Function for Neural Dialogue Generation12/02/2018
    31:48
  31. 39.
    ep14: XNLI: Evaluating Cross-lingual Sentence Representations11/25/2018
    37:39
  32. 40.
    ep13: You May Not Need Attention11/04/2018
    25:36
  33. 41.
    ep12: Word Embedding based Edit Distance 10/28/2018
    30:10
  34. 42.
    ep11: Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective10/21/2018
    40:06
  35. 43.
    ep10: Automatic Evaluation of Neural Personality-based Chatbots10/07/2018
    36:29
  36. 44.
    ep9: Learning and Evaluating Sparse Interpretable Sentence Embeddings10/01/2018
    46:53
  37. 45.
    ep8: Zero-Shot Adaptive Transfer for Conversational Language Understanding09/24/2018
    24:28
  38. 46.
    ep7: Training Millions of Personalized Dialogue Agents09/11/2018
    27:05
  39. 47.
    ep6: Bag of Experts Architectures for Model Reuse in Conversational Language Understanding09/06/2018
    26:06
  40. 48.
    ep5: Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue08/30/2018
    31:46
  41. 49.
    ep4: CoQA: A Conversational Question Answering Challeng08/28/2018
    22:14
  42. 50.
    ep3: Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing08/24/2018
    22:19
  43. 51.
    ep2: Zero-Shot Dialog Generation with Cross-Domain Latent Actions08/21/2018
    35:41
  44. 52.
    ep1: Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates.08/17/2018
    13:32

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