Issues

• Performance on Yelp 15

  ematvey/hierarchical-attention-networks#28 · Filter by author Karlguo opened on Jun 18, 2020

• Visualize word and sentence attention weight as color coded in the paper

  ematvey/hierarchical-attention-networks#27 · Filter by author vr25 opened on Nov 13, 2018
  1

• Won't the code leads to different input shape for different batch?

  ematvey/hierarchical-attention-networks#26 · Filter by author MathewLi9527 opened on Oct 24, 2018

• Performance on the paper's dataset

  ematvey/hierarchical-attention-networks#25 · Filter by author gabrer opened on Sep 27, 2018
  6

• Same cell for word and sentence level

  ematvey/hierarchical-attention-networks#24 · Filter by author ksingla025 opened on Sep 26, 2018
  3

• dev accuracy: nan???

  ematvey/hierarchical-attention-networks#22 · Filter by author kcsmta opened on Sep 8, 2018

• Embeddings for special tokens/padding?

  ematvey/hierarchical-attention-networks#21 · Filter by author Kreiswolke opened on Aug 9, 2018

• Getting same sentence level outputs for very different documents. Can someone please help.

  ematvey/hierarchical-attention-networks#20 · Filter by author sanyamg123 opened on Jun 17, 2018

• Mask for attention weight

  ematvey/hierarchical-attention-networks#19 · Filter by author 2g-XzenG opened on Jun 14, 2018

• Are uw and us global weights? just to conform.

  ematvey/hierarchical-attention-networks#18 · Filter by author acadTags opened on May 4, 2018
  1

• Is the embedding initialized with a pre-trained one?

  ematvey/hierarchical-attention-networks#15 · Filter by author acadTags opened on Mar 21, 2018
  2

• Error While Running yelp_prepare.py

  ematvey/hierarchical-attention-networks#14 · Filter by author wangtao1321 opened on Jan 18, 2018
  3

• ValueError in running worker.py

  ematvey/hierarchical-attention-networks#11 · Filter by author jianzhengming opened on Aug 21, 2017
  12

• Attention layer output

  ematvey/hierarchical-attention-networks#9 · Filter by author krayush07 opened on Jul 27, 2017
  5