Leading NLP Ninja

A podcast by jojonki

52 Episoade

ep32: We need to talk about standard splits
Publicat: 26.05.2019
ep31: CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Publicat: 11.05.2019
ep30: Probing the Need for Visual Context in Multimodal Machine Translation
Publicat: 30.04.2019
ep29: What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
Publicat: 22.04.2019
ep28: Attention is not Explanation
Publicat: 13.04.2019
ep27: 今年度の振り返りとこれからについて
Publicat: 31.03.2019
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
Publicat: 23.03.2019
ep25: サブワードに基づく単語分散表現の縮約モデリング
Publicat: 17.03.2019
ep24: BERT for Joint Intent Classification and Slot Filling
Publicat: 02.03.2019
ep23: End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Publicat: 24.02.2019
ep22: What are the biases in my data?
Publicat: 17.02.2019
ep21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Publicat: 03.02.2019
ep20: Comprehensive evaluation of statistical speech waveform synthesis
Publicat: 27.01.2019
ep19: SentencePiece: A simple and language independent subword tokenizer and detokenizer for NLP
Publicat: 20.01.2019
ep18: PyText: A Seamless Path from NLP research to production
Publicat: 14.01.2019
ep17: User Modeling for Task Oriented Dialogues
Publicat: 31.12.2018
ep16: Contextual Topic Modeling For Dialog Systems
Publicat: 09.12.2018
ep15: Another Diversity-Promoting Objective Function for Neural Dialogue Generation
Publicat: 02.12.2018
ep14: XNLI: Evaluating Cross-lingual Sentence Representations
Publicat: 25.11.2018
ep13: You May Not Need Attention
Publicat: 04.11.2018

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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． https://github.com/jojonki/arXivNotes/issues

52 Episoade

ep32: We need to talk about standard splits

ep31: CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

ep30: Probing the Need for Visual Context in Multimodal Machine Translation

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

ep28: Attention is not Explanation

ep27: 今年度の振り返りとこれからについて

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

ep25: サブワードに基づく単語分散表現の縮約モデリング

ep24: BERT for Joint Intent Classification and Slot Filling

ep23: End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis

ep22: What are the biases in my data?

ep21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

ep20: Comprehensive evaluation of statistical speech waveform synthesis

ep19: SentencePiece: A simple and language independent subword tokenizer and detokenizer for NLP

ep18: PyText: A Seamless Path from NLP research to production

ep17: User Modeling for Task Oriented Dialogues

ep16: Contextual Topic Modeling For Dialog Systems

ep15: Another Diversity-Promoting Objective Function for Neural Dialogue Generation

ep14: XNLI: Evaluating Cross-lingual Sentence Representations

ep13: You May Not Need Attention