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Found 4 papers, 3 papers with code
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models
We also observe that fine-tuned models after the proposed pre-training approach maintain comparable performance on other NLP tasks, such as sentence classification and natural language inference tasks, compared to the original BERT models.
Ranked #26 on
Common Sense Reasoning
on CommonsenseQA
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
This paper presents a multi-level matching and aggregation network (MLMAN) for few-shot relation classification.
Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
This paper presents a neural relation extraction method to deal with the noisy training data generated by distant supervision.
Hybrid semi-Markov CRF for Neural Sequence Labeling
This paper proposes hybrid semi-Markov conditional random fields (SCRFs) for neural sequence labeling in natural language processing.
Ranked #61 on
Named Entity Recognition (NER)
on CoNLL 2003 (English)
