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4 papers · 2 filters
Information-Weighted Neural Cache Language Models for ASR
Lyan Verwimp, Joris Pelemans, Hugo Van hamme +1
Neural cache language models (LMs) extend the idea of regular cache language models by making the cache probability dependent on the similarity between the current context and the…
TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks
Xinyue Liu, Xiangnan Kong, Lei Liu +1
Generative Adversarial Networks (GANs) have shown great capacity on image generation, in which a discriminative model guides the training of a generative model to construct images…
Findings of the Second Workshop on Neural Machine Translation and Generation
Alexandra Birch, Andrew Finch, Minh-Thang Luong +2
This document describes the findings of the Second Workshop on Neural Machine Translation and Generation, held in concert with the annual conference of the Association for Computat…
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching
Xiao Yang, Madian Khabsa, Miaosen Wang +4
Community-based question answering (CQA) websites represent an important source of information. As a result, the problem of matching the most valuable answers to their correspondin…