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Leading NLP Ninja

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.
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ep52(ACL): A Two-Stage Masked LM Method for Term Set Expansion

Leading NLP NinjaMay 16, 2020

ep52(ACL): A Two-Stage Masked LM Method for Term Set Expansion
May 16, 202031:11
ep51 (arXiv): XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Apr 18, 202027:28
ep50 (ICLR): ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Mar 14, 202028:02
ep49 (ICASSP): Looking Enhances Listening: Recovering Missing Speech Using Images
Feb 21, 202022:11
ep48 (AAAI): Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
Feb 09, 202038:34
ep47 (ICLR): ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Jan 12, 202025:35
ep46: FreeLB: Enhanced Adversarial Training for Language Understanding
Jan 01, 202024:21
ep45: Episodic Memory in Lifelong Language Learning
Dec 01, 201936:03
ep44: 75 Languages, 1 Model: Parsing Universal Dependencies Universally
Nov 24, 201936:04
ep43: BPE-Dropout: Simple and Effective Subword Regularization
Nov 04, 201936:45
ep42: HuggingFace's Transformers: State-of-the-art Natural Language Processing
Oct 20, 201919:45
ep41: A Simple Theoretical Model of Importance for Summarization
Sep 15, 201945:26
ep40: OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
Sep 07, 201934:17
ep39: Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
Aug 20, 201926:05
ep38: Trends in Natural Language Processing: ACL 2019 In Review
Aug 09, 201923:59
ep37: Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Jul 15, 201926:15
ep36: A Survey of Reinforcement Learning Informed by Natural Language
Jul 07, 201926:47
ep35: Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
Jun 30, 201926:37
ep34: Do Neural Dialog Systems Use the Conversation History Effectively?
Jun 07, 201916:31
ep33: Target-Guided Open-Domain Conversation
Jun 01, 201938:41
ep32: We need to talk about standard splits

ep32: We need to talk about standard splits


第32回では,ACL 2019から,標準的なデータセットのsplitに起因するシステム比較手法の危険性を示す論文を解説しました. 今回紹介した論文はこちらのissueで解説しています. 番組への支援は,こちらからお待ちしております.

May 26, 201922:17
ep31: CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
May 11, 201933:02
ep30: Probing the Need for Visual Context in Multimodal Machine Translation
Apr 30, 201925:32
ep29: What's in a Name? Reducing Bias in Bios without Access to Protected Attributes
Apr 22, 201931:19
ep28: Attention is not Explanation
Apr 13, 201924:54
ep27: 今年度の振り返りとこれからについて
Mar 31, 201917:15
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
Mar 23, 201916:19
ep25: サブワードに基づく単語分散表現の縮約モデリング
Mar 17, 201918:23
ep24: BERT for Joint Intent Classification and Slot Filling
Mar 02, 201921:08
ep23: End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis
Feb 24, 201929:19
ep22: What are the biases in my data?
Feb 17, 201913:22
ep21: BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Feb 03, 201932:19
ep20: Comprehensive evaluation of statistical speech waveform synthesis
Jan 27, 201919:08
ep19: SentencePiece: A simple and language independent subword tokenizer and detokenizer for NLP
Jan 20, 201937:24
ep18: PyText: A Seamless Path from NLP research to production
Jan 14, 201928:03
ep17: User Modeling for Task Oriented Dialogues
Dec 31, 201852:40
ep16: Contextual Topic Modeling For Dialog Systems
Dec 09, 201829:08
ep15: Another Diversity-Promoting Objective Function for Neural Dialogue Generation
Dec 02, 201831:48
ep14: XNLI: Evaluating Cross-lingual Sentence Representations
Nov 25, 201837:39
ep13: You May Not Need Attention
Nov 04, 201825:36
ep12: Word Embedding based Edit Distance
Oct 28, 201830:10
ep11: Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective
Oct 21, 201840:06
ep10: Automatic Evaluation of Neural Personality-based Chatbots
Oct 07, 201836:29
ep9: Learning and Evaluating Sparse Interpretable Sentence Embeddings
Oct 01, 201846:54
ep8: Zero-Shot Adaptive Transfer for Conversational Language Understanding
Sep 24, 201824:28
ep7: Training Millions of Personalized Dialogue Agents

ep7: Training Millions of Personalized Dialogue Agents

第7回では,EMNLP 2018でFacebookが開発したペルソナデータセット及びそのペルソナに沿ったEnd-to-end雑談対話システムを解説しました.
Sep 11, 201827:06
ep6: Bag of Experts Architectures for Model Reuse in Conversational Language Understanding
Sep 06, 201826:06
ep5: Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue
Aug 30, 201831:47
ep4: CoQA: A Conversational Question Answering Challeng
Aug 28, 201822:14
ep3: Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
Aug 24, 201822:19