This paper,Extractive Summarization using Continuous Vector Space Models (Kågebäck et al., CVSC-WS 2014), is related to how to summarize document in the way to well extract sentence from input sentences using continuous vector representaion.
[Read More]
I think this paper, Distributed Representations of Words and Phrases and their Compositionality (Mikolov et al. NIPS 2013), is the best to understand why the addition of two vectors works well to meaningfully infer the relation between two words.
[Read More]
This paper,Centroid-based Text Summarization through Compositionality of Word Embeddings (Rossiello et al., MultiLing-WS 2017), is about text summarization based on cetroid, and then they experiment multi-documents and a multi-lingual sigle document.
[Read More]