Linfeng Song

2 paper cards in Mova's library · 2017–2019

Linfeng Song wrote 2 of the papers Mova reads, in 2017–2019, most of them on Machine translation; often with Daniel Gildea, Yue Zhang, Zhiguo Wang.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

Semantic Neural Machine Translation Using AMR (2019)
The paper asks whether an AMR graph of the source sentence helps neural machine translation. The model keeps a BiLSTM encoder over the words and adds a graph recurrent network that encodes the AMR graph without linearising it. A doubly attentive LSTM decoder reads both encodings. On WMT16 English-German (4.17M…
AMR-to-text Generation with Synchronous Node Replacement Grammar (2017)
The paper generates sentences directly from the AMR graph, without first making a spanning tree, so that no information is lost in the graph-to-tree step.