malteos commited on
Commit
ac2930c
β€’
1 Parent(s): 78d2792

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -27,7 +27,7 @@ about_page_markdown = f"""# πŸ” Find Papers With Similar Task
27
 
28
  See
29
  - GitHub: https://github.com/malteos/aspect-document-embeddings
30
- - Paper: #TODO
31
  - Model hub: https://huggingface.co/malteos/aspect-scibert-task
32
 
33
  """
@@ -146,11 +146,11 @@ def find_related_papers(paper_id, user_aspect):
146
 
147
  # Page
148
  st.title('Aspect-based Paper Similarity')
149
- st.markdown("""This demo showcases [Specialized Document Embeddings for Aspect-based Research Paper Similarity](#TODO).""")
150
 
151
  # Introduction
152
  st.markdown(f"""The model was trained using a triplet loss on machine learning papers from the [paperswithcode.com](https://paperswithcode.com/) corpus with the objective of pulling embeddings of papers with the same task, method, or dataset close together.
153
- For a more comprehensive overview of the model check out the [model card on πŸ€— Model Hub]({model_hub_url}) or read [our paper](#TODO).""")
154
  st.markdown("""Enter a ArXiv ID or a DOI of a paper for that you want find similar papers. The title and abstract of the input paper must be available through the [Semantic Scholar API](https://www.semanticscholar.org/product/api).
155
 
156
  Try it yourself! πŸ‘‡""",
 
27
 
28
  See
29
  - GitHub: https://github.com/malteos/aspect-document-embeddings
30
+ - Paper: https://arxiv.org/abs/2203.14541
31
  - Model hub: https://huggingface.co/malteos/aspect-scibert-task
32
 
33
  """
 
146
 
147
  # Page
148
  st.title('Aspect-based Paper Similarity')
149
+ st.markdown("""This demo showcases [Specialized Document Embeddings for Aspect-based Research Paper Similarity](https://arxiv.org/abs/2203.14541).""")
150
 
151
  # Introduction
152
  st.markdown(f"""The model was trained using a triplet loss on machine learning papers from the [paperswithcode.com](https://paperswithcode.com/) corpus with the objective of pulling embeddings of papers with the same task, method, or dataset close together.
153
+ For a more comprehensive overview of the model check out the [model card on πŸ€— Model Hub]({model_hub_url}) or read [our paper](https://arxiv.org/abs/2203.14541).""")
154
  st.markdown("""Enter a ArXiv ID or a DOI of a paper for that you want find similar papers. The title and abstract of the input paper must be available through the [Semantic Scholar API](https://www.semanticscholar.org/product/api).
155
 
156
  Try it yourself! πŸ‘‡""",