Leading NLP Ninja
Ein Podcast von jojonki
52 Folgen
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ep52(ACL): A Two-Stage Masked LM Method for Term Set Expansion
Vom: 16.5.2020 -
ep51 (arXiv): XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Vom: 18.4.2020 -
ep50 (ICLR): ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
Vom: 14.3.2020 -
ep49 (ICASSP): Looking Enhances Listening: Recovering Missing Speech Using Images
Vom: 21.2.2020 -
ep48 (AAAI): Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization
Vom: 9.2.2020 -
ep47 (ICLR): ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Vom: 12.1.2020 -
ep46: FreeLB: Enhanced Adversarial Training for Language Understanding
Vom: 1.1.2020 -
ep45: Episodic Memory in Lifelong Language Learning
Vom: 1.12.2019 -
ep44: 75 Languages, 1 Model: Parsing Universal Dependencies Universally
Vom: 24.11.2019 -
ep43: BPE-Dropout: Simple and Effective Subword Regularization
Vom: 4.11.2019 -
ep42: HuggingFace's Transformers: State-of-the-art Natural Language Processing
Vom: 20.10.2019 -
ep41: A Simple Theoretical Model of Importance for Summarization
Vom: 15.9.2019 -
ep40: OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
Vom: 7.9.2019 -
ep39: Conversational Response Re-ranking Based on Event Causality and Role Factored Tensor Event Embedding
Vom: 20.8.2019 -
ep38: Trends in Natural Language Processing: ACL 2019 In Review
Vom: 9.8.2019 -
ep37: Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems
Vom: 15.7.2019 -
ep36: A Survey of Reinforcement Learning Informed by Natural Language
Vom: 7.7.2019 -
ep35: Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
Vom: 30.6.2019 -
ep34: Do Neural Dialog Systems Use the Conversation History Effectively?
Vom: 7.6.2019 -
ep33: Target-Guided Open-Domain Conversation
Vom: 1.6.2019
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