activity
20192021
most citedConnecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering

12 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER

Dong-Ho Lee, Akshen Kadakia, Kangmin Tan +7

Recent advances in prompt-based learning have shown strong results on few-shot text classification by using cloze-style templates. Similar attempts have been made on named entity r…

cs.CL2020★ 2 cited

Teaching Machine Comprehension with Compositional Explanations

Qinyuan Ye, Xiao Huang, Elizabeth Boschee +1

Advances in machine reading comprehension (MRC) rely heavily on the collection of large scale human-annotated examples in the form of (question, paragraph, answer) triples. In cont…

cs.CL2020★ 4 cited

Visually Grounded Continual Learning of Compositional Phrases

Xisen Jin, Junyi Du, Arka Sadhu +2

Humans acquire language continually with much more limited access to data samples at a time, as compared to contemporary NLP systems. To study this human-like language acquisition…

cs.CL2020★ 12 cited

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering

Peifeng Wang, Nanyun Peng, Filip Ilievski +2

Commonsense question answering (QA) requires background knowledge which is not explicitly stated in a given context. Prior works use commonsense knowledge graphs (KGs) to obtain th…

cs.IR2019★ 1 cited

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Weizhi Ma, Min Zhang, Yue Cao +6

Explainability and effectiveness are two key aspects for building recommender systems. Prior efforts mostly focus on incorporating side information to achieve better recommendation…