83 citations · 517 across the 59 of their papers we have counts for
6 papers · 1 filter
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation
Jinsong Su, Zhixing Tan, Deyi Xiong +3
Neural machine translation (NMT) heavily relies on word-level modelling to learn semantic representations of input sentences. However, for languages without natural word delimiters…
Cseq2seq: Cyclic Sequence-to-Sequence Learning
Biao Zhang, Deyi Xiong, Jinsong Su
The vanilla sequence-to-sequence learning (seq2seq) reads and encodes a source sequence into a fixed-length vector only once, suffering from its insufficiency in modeling structura…
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings
Biao Zhang, Deyi Xiong, Jinsong Su
In this paper, we propose a bidimensional attention based recursive autoencoder (BattRAE) to integrate clues and sourcetarget interactions at multiple levels of granularity into bi…
Variational Neural Machine Translation
Biao Zhang, Deyi Xiong, Jinsong Su +2
Models of neural machine translation are often from a discriminative family of encoderdecoders that learn a conditional distribution of a target sentence given a source sentence. I…
Neural Discourse Relation Recognition with Semantic Memory
Biao Zhang, Deyi Xiong, Jinsong Su
Humans comprehend the meanings and relations of discourses heavily relying on their semantic memory that encodes general knowledge about concepts and facts. Inspired by this, we pr…
Variational Neural Discourse Relation Recognizer
Biao Zhang, Deyi Xiong, Jinsong Su +4
Implicit discourse relation recognition is a crucial component for automatic discourselevel analysis and nature language understanding. Previous studies exploit discriminative mode…