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Distributed Representations of Words and Phrases and their Compositionality for Word2Vec investigation

Title of paper - Distributed Representations of Words and Phrases and their Compositionality

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]
Tags: nlp, word embedding

Centroid-based Text Summarization through Compositionality of Word Embeddings

Title of paper - Centroid-based Text Summarization through Compositionality of Word Embeddings

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]
Tags: nlp, word embedding, text summarization