… the continuity of text from books, we train an encoderdecoder model that tries to reconstruct
the surrounding sentences of an encoded passage. Sentences that share semantic and …

… 2015) into GANs in different setups. … Skip-Thought is an encoder-decoder framework with
an unsupervised … in producing vector representations using previous and next sentences. The …

… have been also studied for statistical machine translation (Cho et al.… In Proceedings of the
NIPS-2010 deep learning and unsupervised … 2015) in all our experiments. For training our …

… , inferring the previous and inferring the next sentence … the next sentence is preserved in
our trimmed skip-thought model. … the skip-thought model, which is an encoder-decoder model …

… new encoder-decoder approach to learn distributed sentence … (2015), given two sentence
representations zx and zy, we first … trieving the most correct item than the skip-thought vector. …

… (2015) with neighborhood information as weak supervision. More … a skip-thought
neighbor model to consider the adjacent sentences as a neighborhood. We train our skip-thought …

… a new encoder-decoder approach to learn distributed sentence repre… skip-thought model
of [7], we propose to use a CNN encoder for unsupervised learning of sentence representations …

… is a powerful unsupervised encoder-decoder approach that … not only used Skip-thought
vectors but also evaluated the use of a … Cho, K., Van Merriënboer, B., Gulcehre, C., Bahdanau, D., …

… We present an encoder–decoder approach using … than Simple skip-thought which indicates
that skip-thought might … Learning phrase representations using RNN encoder—decoder for …

… encoder-decoder framework to reconstruct a sentence fragment given the remaining part of
the sentence: its encoder takes a sentence … 2015). Language generation tasks are usually …