6 citations · 11 across the 4 of their papers we have counts for
5 papers
Bridging the Gap between Language Model and Reading Comprehension: Unsupervised MRC via Self-Supervision
Ning Bian, Xianpei Han, Bo Chen +3
Despite recent success in machine reading comprehension (MRC), learning high-quality MRC models still requires large-scale labeled training data, even using strong pre-trained lang…
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding
Shan Wu, Bo Chen, Chunlei Xin +6
Semantic parsing is challenging due to the structure gap and the semantic gap between utterances and logical forms. In this paper, we propose an unsupervised semantic parsing metho…
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation
Ning Bian, Xianpei Han, Bo Chen +1
A fundamental ability of humans is to utilize commonsense knowledge in language understanding and question answering. In recent years, many knowledge-enhanced Commonsense Question…
Sentence Rewriting for Semantic Parsing
Bo Chen, Le Sun, Xianpei Han +1
A major challenge of semantic parsing is the vocabulary mismatch problem between natural language and target ontology. In this paper, we propose a sentence rewriting based semantic…
Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing
Bo Chen, Le Sun, Xianpei Han
This paper proposes a neural semantic parsing approach -- Sequence-to-Action, which models semantic parsing as an end-to-end semantic graph generation process. Our method simultane…