added project

.gitignore

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+# Created by https://www.toptal.com/developers/gitignore/api/python,visualstudiocode,linux,macos,windows
+# Edit at https://www.toptal.com/developers/gitignore?templates=python,visualstudiocode,linux,macos,windows
+
+### Linux ###
+*~
+
+# temporary files which can be created if a process still has a handle open of a deleted file
+.fuse_hidden*
+
+# KDE directory preferences
+.directory
+
+# Linux trash folder which might appear on any partition or disk
+.Trash-*
+
+# .nfs files are created when an open file is removed but is still being accessed
+.nfs*
+
+### macOS ###
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+
+# Thumbnails
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+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
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+# Directories potentially created on remote AFP share
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+### macOS Patch ###
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+### Python ###
+# Byte-compiled / optimized / DLL files
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+*.py[cod]
+*$py.class
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+# C extensions
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+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
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+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
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+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
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+.webassets-cache
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+# Sphinx documentation
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+
+# PyBuilder
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+target/
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+# Jupyter Notebook
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+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
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+# Celery stuff
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+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
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+
+# mkdocs documentation
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+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
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+# Pyre type checker
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+# pytype static type analyzer
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+# Cython debug symbols
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+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### VisualStudioCode ###
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+!.vscode/*.code-snippets
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+# Local History for Visual Studio Code
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+# Built Visual Studio Code Extensions
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+
+### VisualStudioCode Patch ###
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+.history
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+
+### Windows ###
+# Windows thumbnail cache files
+Thumbs.db
+Thumbs.db:encryptable
+ehthumbs.db
+ehthumbs_vista.db
+
+# Dump file
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+
+# Folder config file
+[Dd]esktop.ini
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+# Recycle Bin used on file shares
+$RECYCLE.BIN/
+
+# Windows Installer files
+*.cab
+*.msi
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+*.msm
+*.msp
+
+# Windows shortcuts
+*.lnk
+
+# End of https://www.toptal.com/developers/gitignore/api/python,visualstudiocode,linux,macos,windows

.vscode/settings.json

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+{
+	"editor.rulers": [
+		120
+	]
+}

CITATION.cff

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+# This CITATION.cff file was generated with cffinit.
+# Visit https://bit.ly/cffinit to generate yours today!
+
+cff-version: 1.2.0
+title: >-
+  Effective and Efficient Ranking using a Dual Encoder
+  Approach
+message: >-
+  If you use this software, please cite it using the
+  metadata from this file.
+type: thesis
+authors:
+  - given-names: Tim
+    family-names: Hagen
+repository-code: >-
+  https://github.com/TheMrSheldon/Effective-and-Efficient-Ranking-using-a-Dual-Encoder-Approach
+abstract: >-
+  Ever since BERT's inception, the Information Retrieval
+  community has worked on harnessing BERT's potential for
+  relevance ranking. To this end, the most prevalent
+  approaches are distilling BERT into smaller transformer
+  architectures or designing efficient ranking architectures
+  around (distilled versions of) BERT. We propose replacing
+  MMSE-ColBERT's document encoder by distilling it into a
+  vastly smaller, graph-based architecture using a modified
+  version of TinyBERT's loss objective. Our architecture
+  creates an initial graph-of-word that is then refined
+  using multiple heads of Graph Structure Learning.
+  Empirically, we find that the smallest variant of our
+  architecture works best. It consists of a single GAT-layer
+  and three GCN-layers. The modified version of TinyBERT's
+  loss objective is competitive with strong baselines, like
+  MMSE-ColBERT, but does not beat them. By using Margin-MSE
+  loss instead, we can further significantly improve
+  effectiveness such that our model beats every baseline
+  except the strongest, MMSE-ColBERT with query expansion.
+  Due to its simplicity, our model is three times as fast as
+  MMSE-ColBERT's document encoding. Our experiments show
+  promise that our model can further be used for document
+  encoding and to replace the query encoding of MMSE-ColBERT
+  as well for more efficient ranking.
+keywords:
+  - BERT
+  - re-ranking
+  - cross-architecture knowledge distillation
+  - graph neural networks
+license: GPL-3.0