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RepEval(WS)-2016-Evaluating Word Embeddings Using a Representative Suite of Practical Tasks #301

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BrambleXu opened this issue Dec 17, 2019 · 0 comments
Open

RepEval(WS)-2016-Evaluating Word Embeddings Using a Representative Suite of Practical Tasks #301

BrambleXu opened this issue Dec 17, 2019 · 0 comments
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Analysis(T) Analysis (Paper) Task Embedding Embedding/Pre-train Model/Task

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BrambleXu commented Dec 17, 2019 •
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Summary:

评价word embedding的方法只依靠word similarity benchmark不好，所以本文提出了vivo，通过一系列的downstream tasks来评价word embeddings。还有online的版本，提交后就能自动进行评价。

Resource:

  • pdf
  • [code](
  • [paper-with-code](

Paper information:

  • Author: Manning
  • Dataset:
  • keywords:

Notes:

关于评价的话，其实可以多用几个数据集，来证明一下，基于character的语言的coverage对于NER的评判
（让评价更方便的系统，也可以写一篇论文）

Model Graph:

Result:：

image

image

Thoughts:

Next Reading:
@BrambleXu BrambleXu added Embedding Embedding/Pre-train Model/Task Analysis(T) Analysis (Paper) Task labels Dec 17, 2019
@BrambleXu BrambleXu self-assigned this Dec 17, 2019
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