most citedRevisiting Iterative Back-Translation from the Perspective of Compositional Generalization

5 citations · 6 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Iterative Utterance Segmentation for Neural Semantic Parsing

Yinuo Guo, Zeqi Lin, Jian-Guang Lou +1

Neural semantic parsers usually fail to parse long and complex utterances into correct meaning representations, due to the lack of exploiting the principle of compositionality. To…

cs.CL20205 cited

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Yinuo Guo, Hualei Zhu, Zeqi Lin +3

Human intelligence exhibits compositional generalization (i.e., the capacity to understand and produce unseen combinations of seen components), but current neural seq2seq models la…

cs.CL2020

Incorporate Semantic Structures into Machine Translation Evaluation via UCCA

Jin Xu, Yinuo Guo, Junfeng Hu

Copying mechanism has been commonly used in neural paraphrasing networks and other text generation tasks, in which some important words in the input sequence are preserved in the o…

cs.CL2020

Hierarchical Poset Decoding for Compositional Generalization in Language

Yinuo Guo, Zeqi Lin, Jian-Guang Lou +1

We formalize human language understanding as a structured prediction task where the output is a partially ordered set (poset). Current encoder-decoder architectures do not take the…

cs.CL20201 cited

Fact-aware Sentence Split and Rephrase with Permutation Invariant Training

Yinuo Guo, Tao Ge, Furu Wei

Sentence Split and Rephrase aims to break down a complex sentence into several simple sentences with its meaning preserved. Previous studies tend to address the issue by seq2seq le…