2016 KeyValueMemoryNetworksforDirect

• (Miller et al., 2016) ⇒ Alexander Miller, Adam Fisch, Jesse Dodge, Amir-Hossein Karimi, Antoine Bordes, and Jason Weston. (2016). “Key-Value Memory Networks for Directly Reading Documents.” In: arXiv Journal, 1606.03126.

Subject Headings: Question Answering from a Corpus, Key-Value Memory Networks, Memory Networks.

Cited By

• http://scholar.google.com/scholar?q=%222016%22+Key-Value+Memory+Networks+for+Directly+Reading+Documents

2016

• https://gist.github.com/shagunsodhani/a5e0baa075b4a917c0a69edc575772a8
  • QUOTE:
    • Key-Value Memory Networks.
      • Extension of Memory Networks Model.
      • Generalises the way context is stored in memory.
      • Comprises of a memory made of slots in the form of pair of vectors (k1, v1)...(km, vm) to encode long-term and short-term context.

Quotes

Abstract

Directly reading documents and being able to answer questions from them is an unsolved challenge. To avoid its inherent difficulty, question answering (QA) has been directed towards using Knowledge Bases (KBs) instead, which has proven effective. Unfortunately KBs often suffer from being too restrictive, as the schema cannot support certain types of answers, and too sparse, e.g. Wikipedia contains much more information than Freebase. In this work we introduce a new method, Key-Value Memory Networks, that makes reading documents more viable by utilizing different encodings in the addressing and output stages of the memory read operation. To compare using KBs, information extraction or Wikipedia documents directly in a single framework we construct an analysis tool, WikiMovies, a QA dataset that contains raw text alongside a preprocessed KB, in the domain of movies. Our method reduces the gap between all three settings. It also achieves state-of-the-art results on the existing WikiQA benchmark.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2016 KeyValueMemoryNetworksforDirect	Jason Weston Antoine Bordes Alexander Miller Adam Fisch Jesse Dodge Amir-Hossein Karimi			Key-Value Memory Networks for Directly Reading Documents						2016