Semantic Regularities in Document Representations

Understand

Recent work exhibited that distributed word representations are good at capturing linguistic regularities in language.

• This allows vector-oriented reasoning based on simple linear algebra between words.
• Since many different methods have been proposed for learning document representations, it is natural to ask whether there is also linear structure in these learned representations to allow similar reasoning at document level.
• To answer this question, we design a new document analogy task for testing the semantic regularities in document representations, and conduct empirical evaluations over several state-of-the-art document representation models.