We present a novel framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypo...
In this paper, we propose a syllable-based method for tweet normalization to study the cognitive process of non-standard word creation in social media. Assuming that syllable play...
Annotations are increasingly created and shared online and connected with web resources such as databases of real-world entities. Recent collaborative efforts to provide interoper...
Sampo Pyysalo, Jorge Campos, Juan Miguel Cejuela, ...
The recently proposed neural network joint model (NNJM) (Devlin et al., 2014) augments the n-gram target language model with a heuristically chosen source context window, achievin...
Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li...
In order to effectively utilize multiple datasets with heterogeneous annotations, this paper proposes a coupled sequence labeling model that can directly learn and infer two heter...
Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Che...