output
20192026
most citedFrom Plots to Endings: A Reinforced Pointer Generator for Story Ending Generation

12 citations

Showing 2019Show all

7 papers · 1 filter

cs.CL2019★ 2 cited

XCMRC: Evaluating Cross-lingual Machine Reading Comprehension

Pengyuan Liu, Yuning Deng, Chenghao Zhu +1

We present XCMRC, the first public cross-lingual language understanding (XLU) benchmark which aims to test machines on their cross-lingual reading comprehension ability. To be spec…

cs.CL2019

Multi-task Learning for Low-resource Second Language Acquisition Modeling

Yong Hu, Heyan Huang, Tian Lan +5

Second language acquisition (SLA) modeling is to predict whether second language learners could correctly answer the questions according to what they have learned. It is a fundamen…

cs.CL2019★ 1 cited

Incorporating Sememes into Chinese Definition Modeling

Liner Yang, Cunliang Kong, Yun Chen +3

Chinese definition modeling is a challenging task that generates a dictionary definition in Chinese for a given Chinese word. To accomplish this task, we construct the Chinese Defi…

q-bio.NC2019

Convolution Forgetting Curve Model for Repeated Learning

Yanlu Xie, Yue Chen, Man Li

Most of mathematic forgetting curve models fit well with the forgetting data under the learning condition of one time rather than repeated. In the paper, a convolution model of for…

cs.CL2019★ 12 cited

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…

cs.CL2019

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…

cs.CL2019★ 10 cited

Multi-turn Inference Matching Network for Natural Language Inference

Chunhua Liu, Shan Jiang, Hainan Yu +1

Natural Language Inference (NLI) is a fundamental and challenging task in Natural Language Processing (NLP). Most existing methods only apply one-pass inference process on a mixed…