12 citations · 28 across the 6 of their papers we have counts for
7 papers · 1 filter
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
Wanying Xie, Yang Feng, Shuhao Gu +1
Multilingual neural machine translation with a single model has drawn much attention due to its capability to deal with multiple languages. However, the current multilingual transl…
Token-level Adaptive Training for Neural Machine Translation
Shuhao Gu, Jinchao Zhang, Fandong Meng +4
There exists a token imbalance phenomenon in natural language as different tokens appear with different frequencies, which leads to different learning difficulties for tokens in Ne…
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Yang Feng, Wanying Xie, Shuhao Gu +4
Neural machine translation models usually adopt the teacher forcing strategy for training which requires the predicted sequence matches ground truth word by word and forces the pro…
From Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation
Yan Zhao, Lu Liu, Chunhua Liu +2
We introduce a new task named Story Ending Generation (SEG), whic-h aims at generating a coherent story ending from a sequence of story plot. Wepropose a framework consisting of a…
Multi-Perspective Fusion Network for Commonsense Reading Comprehension
Chunhua Liu, Yan Zhao, Qingyi Si +3
Commonsense Reading Comprehension (CRC) is a significantly challenging task, aiming at choosing the right answer for the question referring to a narrative passage, which may requir…
DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension
Chunhua Liu, Haiou Zhang, Shan Jiang +1
This paper proposes a Distilled-Exposition Enhanced Matching Network (DEMN) for story-cloze test, which is still a challenging task in story comprehension. We divide a complete sto…