Leading NLP Ninja

52 Episoder

1. ep32: We need to talk about standard splits

   Publisert: 26.5.2019
2. ep31: CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

   Publisert: 11.5.2019
3. ep30: Probing the Need for Visual Context in Multimodal Machine Translation

   Publisert: 30.4.2019
4. ep29: What's in a Name? Reducing Bias in Bios without Access to Protected Attributes

   Publisert: 22.4.2019
5. ep28: Attention is not Explanation

   Publisert: 13.4.2019
6. ep27: 今年度の振り返りとこれからについて

   Publisert: 31.3.2019
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

   Publisert: 23.3.2019
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

   Publisert: 17.3.2019
9. ep24: BERT for Joint Intent Classification and Slot Filling

   Publisert: 2.3.2019
10. ep23: End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

    Publisert: 24.2.2019
11. ep22: What are the biases in my data?

    Publisert: 17.2.2019
12. ep21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    Publisert: 3.2.2019
13. ep20: Comprehensive evaluation of statistical speech waveform synthesis

    Publisert: 27.1.2019
14. ep19: SentencePiece: A simple and language independent subword tokenizer and detokenizer for NLP

    Publisert: 20.1.2019
15. ep18: PyText: A Seamless Path from NLP research to production

    Publisert: 14.1.2019
16. ep17: User Modeling for Task Oriented Dialogues

    Publisert: 31.12.2018
17. ep16: Contextual Topic Modeling For Dialog Systems

    Publisert: 9.12.2018
18. ep15: Another Diversity-Promoting Objective Function for Neural Dialogue Generation

    Publisert: 2.12.2018
19. ep14: XNLI: Evaluating Cross-lingual Sentence Representations

    Publisert: 25.11.2018
20. ep13: You May Not Need Attention

    Publisert: 4.11.2018