NLPExplorer

NAACL - 2021

Total Papers:- 971

Total Papers accross all years:- 6159

Total Citations :- 0

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Learning about Word Vector Representations and Deep Learning through Implementing Word2vec

David Jurgens |

Word Complexity is in the Eye of the Beholder

Sian Gooding | Ekaterina Kochmar | Seid Muhie Yimam | Chris Biemann |

SAFFRON: tranSfer leArning For Food-disease RelatiOn extractioN

Gjorgjina Cenikj | Tome Eftimov | Barbara Koroušić Seljak |

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection

Xu Guo | Boyang Li | Han Yu | Chunyan Miao |

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning

Word Embeddings, Cosine Similarity and Deep Learning for Identification of Professions & Occupations in Health-related Social Media

Sergio Santamaría Carrasco | Roberto Cuervo Rosillo |

On the Embeddings of Variables in Recurrent Neural Networks for Source Code

Nadezhda Chirkova |

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning

Self-Training for Unsupervised Neural Machine Translation in Unbalanced Training Data Scenarios

Normalization and Back-Transliteration for Code-Switched Data

Dwija Parikh | Thamar Solorio |

Towards the Development of Speech-Based Measures of Stress Response in Individuals

Archna Bhatia | Toshiya Miyatsu | Peter Pirolli |

Multi-input Recurrent Independent Mechanisms for leveraging knowledge sources: Case studies on sentiment analysis and health text mining

Parsa Bagherzadeh | Sabine Bergler |

UDALM: Unsupervised Domain Adaptation through Language Modeling

Constantinos Karouzos | Georgios Paraskevopoulos | Alexandros Potamianos |

Meta-Learning for Domain Generalization in Semantic Parsing

Bailin Wang | Mirella Lapata | Ivan Titov |

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models