NLPExplorer

AdaptNLP - 2021

Total Papers:- 27

Total Papers accross all years:- 27

Total Citations :- 0

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The impact of domain-specific representations on BERT-based multi-domain spoken language understanding

Judith Gaspers | Quynh Do | Tobias Röding | Melanie Bradford |

Domain adaptation in practice: Lessons from a real-world information extraction pipeline

Timothy Miller | Egoitz Laparra | Steven Bethard |

An Empirical Study of Compound PCFGs

Yanpeng Zhao | Ivan Titov |

Challenges in Annotating and Parsing Spoken, Code-switched, Frisian-Dutch Data

Anouck Braggaar | Rob van der Goot |

On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets

Locality Preserving Loss: Neighbors that Live together, Align together

Ashwinkumar Ganesan | Francis Ferraro | Tim Oates |

Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management

User Factor Adaptation for User Embedding via Multitask Learning

Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning

Gordon Buck | Andreas Vlachos |

Gradual Fine-Tuning for Low-Resource Domain Adaptation

Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data

Proceedings of the Second Workshop on Domain Adaptation for NLP

Conditional Adversarial Networks for Multi-Domain Text Classification

Yuan Wu | Diana Inkpen | Ahmed El-Roby |

BERTologiCoMix: How does Code-Mixing interact with Multilingual BERT?

Sebastin Santy | Anirudh Srinivasan | Monojit Choudhury |

Semantic Parsing of Brief and Multi-Intent Natural Language Utterances