Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Krishnan, Jitin"'
Autor:
Meng, Yu, Krishnan, Jitin, Wang, Sinong, Wang, Qifan, Mao, Yuning, Fang, Han, Ghazvininejad, Marjan, Han, Jiawei, Zettlemoyer, Luke
Masked Language Modeling (MLM) has been one of the most prominent approaches for pretraining bidirectional text encoders due to its simplicity and effectiveness. One notable concern about MLM is that the special $\texttt{[MASK]}$ symbol causes a disc
Externí odkaz:
http://arxiv.org/abs/2302.02060
Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augmentation approaches with a Teacher-Student training scheme to address t
Externí odkaz:
http://arxiv.org/abs/2108.13620
Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of zero-shot learning, this task is typically approached by either using representations from pre-trai
Externí odkaz:
http://arxiv.org/abs/2103.07792
We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowledge graph construction, and question-answering. The problem is formulat
Externí odkaz:
http://arxiv.org/abs/2003.11687
During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical limitations in labeling datasets of an ongoing crisis. In this paper, we hypothesize that unsupe
Externí odkaz:
http://arxiv.org/abs/2003.04991
Domain adaptation approaches seek to learn from a source domain and generalize it to an unseen target domain. At present, the state-of-the-art unsupervised domain adaptation approaches for subjective text classification problems leverage unlabeled ta
Externí odkaz:
http://arxiv.org/abs/2002.10937