Leading NLP Ninja

52 Episodes

1. ep32: We need to talk about standard splits

   Published: 5/26/2019
2. ep31: CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

   Published: 5/11/2019
3. ep30: Probing the Need for Visual Context in Multimodal Machine Translation

   Published: 4/30/2019
4. ep29: What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

   Published: 4/22/2019
5. ep28: Attention is not Explanation

   Published: 4/13/2019
6. ep27: 今年度の振り返りとこれからについて

   Published: 3/31/2019
7. 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

   Published: 3/23/2019
8. ep25: サブワードに基づく単語分散表現の縮約モデリング

   Published: 3/17/2019
9. ep24: BERT for Joint Intent Classification and Slot Filling

   Published: 3/2/2019
10. ep23: End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

    Published: 2/24/2019
11. ep22: What are the biases in my data?

    Published: 2/17/2019
12. ep21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    Published: 2/3/2019
13. ep20: Comprehensive evaluation of statistical speech waveform synthesis

    Published: 1/27/2019
14. ep19: SentencePiece: A simple and language independent subword tokenizer and detokenizer for NLP

    Published: 1/20/2019
15. ep18: PyText: A Seamless Path from NLP research to production

    Published: 1/14/2019
16. ep17: User Modeling for Task Oriented Dialogues

    Published: 12/31/2018
17. ep16: Contextual Topic Modeling For Dialog Systems

    Published: 12/9/2018
18. ep15: Another Diversity-Promoting Objective Function for Neural Dialogue Generation

    Published: 12/2/2018
19. ep14: XNLI: Evaluating Cross-lingual Sentence Representations

    Published: 11/25/2018
20. ep13: You May Not Need Attention

    Published: 11/4/2018