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Learning to Refine Source Representations for Neural Machine Translation
Xinwei Geng, Longyue Wang, Xing Wang +3
Neural machine translation (NMT) models generally adopt an encoder-decoder architecture for modeling the entire translation process. The encoder summarizes the representation of in…
An AMR Aligner Tuned by Transition-based Parser
Yijia Liu, Wanxiang Che, Bo Zheng +2
In this paper, we propose a new rich resource enhanced AMR aligner which produces multiple alignments and a new transition system for AMR parsing along with its oracle parser. Our…
Knowledge-Aware Conversational Semantic Parsing Over Web Tables
Yibo Sun, Duyu Tang, Nan Duan +3
Conversational semantic parsing over tables requires knowledge acquiring and reasoning abilities, which have not been well explored by current state-of-the-art approaches. Motivate…
Knowledge Based Machine Reading Comprehension
Yibo Sun, Daya Guo, Duyu Tang +4
Machine reading comprehension (MRC) requires reasoning about both the knowledge involved in a document and knowledge about the world. However, existing datasets are typically domin…
Distilling Knowledge for Search-based Structured Prediction
Yijia Liu, Wanxiang Che, Huaipeng Zhao +2
Many natural language processing tasks can be modeled into structured prediction and solved as a search problem. In this paper, we distill an ensemble of multiple models trained wi…
Semantic Parsing with Syntax- and Table-Aware SQL Generation
Yibo Sun, Duyu Tang, Nan Duan +6
We present a generative model to map natural language questions into SQL queries. Existing neural network based approaches typically generate a SQL query word-by-word, however, a l…