Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.4%) to scientific vocabulary
Repository
Clone từ Document To Slide của IBM
Basic Info
- Host: GitHub
- Owner: bkhnk48
- License: apache-2.0
- Language: Python
- Default Branch: main
- Size: 4.36 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
document2slides
This code is for NAACL 2021 paper D2S: Document-to-Slide Generation Via Query-Based Text Summarization
This repository contains: 1) sciduet-build: code to reconstruct the training dataset from NLP/ML Papers in PDF format together with their corresponding slides 2) SciDuet-ACL: finished preprocess ACL training data 3) Derivability annotations together with the trained classifier 4) d2s-model: code to train and evaluate automatic slide generation system
Edward Sun, Yufang Hou, Dakuo Wang, Yunfeng Zhang, Nancy X.R. Wang. D2S: Document-to-Slide Generation Via Query-Based Text Summarization. In Proceedings of the 18th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2021), Online, 6 - 11 June 2021
Owner
- Login: bkhnk48
- Kind: user
- Repositories: 3
- Profile: https://github.com/bkhnk48
GitHub Events
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Dependencies
- absl-py ==0.9.0
- argparse ==1.4.0
- astunparse ==1.6.3
- blis ==0.4.1
- cachetools ==4.1.1
- catalogue ==1.0.0
- chardet ==3.0.4
- click ==7.1.2
- cycler ==0.10.0
- cymem ==2.0.3
- dill ==0.3.2
- faiss-gpu ==1.6.3
- filelock ==3.0.12
- future ==0.18.2
- gast ==0.3.3
- google-auth ==1.20.1
- google-auth-oauthlib ==0.4.1
- google-pasta ==0.2.0
- grpcio ==1.31.0
- h5py ==2.10.0
- idna ==2.10
- joblib ==0.16.0
- keras-preprocessing ==1.1.2
- kiwisolver ==1.2.0
- lxml ==4.5.2
- markdown ==3.2.2
- matplotlib ==3.3.1
- murmurhash ==1.0.2
- nlp ==0.4.0
- nltk ==3.5
- oauthlib ==3.1.0
- opt-einsum ==3.3.0
- pandas ==1.1.0
- plac ==1.1.3
- preshed ==3.0.2
- protobuf ==3.13.0
- pyarrow ==1.0.0
- pyasn1 ==0.4.8
- pyasn1-modules ==0.2.8
- python-pptx ==0.6.18
- pytorch-lightning ==0.8.1
- pytz ==2020.1
- pyyaml ==5.3.1
- regex ==2020.7.14
- requests ==2.24.0
- requests-oauthlib ==1.3.0
- rouge ==1.0.0
- rouge-score ==0.0.4
- rsa ==4.6
- sacremoses ==0.0.43
- scikit-learn ==0.23.2
- scipy ==1.5.2
- sentencepiece ==0.1.91
- sklearn ==0.0
- spacy ==2.3.2
- srsly ==1.0.2
- tensorboard ==2.2.0
- tensorboard-plugin-wit ==1.7.0
- tensorflow ==2.3.0
- tensorflow-estimator ==2.3.0
- termcolor ==1.1.0
- tf-slim ==1.1.0
- thinc ==7.4.1
- threadpoolctl ==2.1.0
- tokenizers ==0.8.1rc1
- tqdm ==4.48.2
- transformers ==3.0.2
- urllib3 ==1.25.10
- wasabi ==0.8.0
- werkzeug ==1.0.1
- wrapt ==1.12.1
- xlsxwriter ==1.3.3
- xxhash ==2.0.0
- Unidecode ==1.2.0
- absl-py ==0.12.0
- beautifulsoup4 ==4.9.3
- bs4 ==0.0.1
- certifi ==2021.5.30
- chardet ==4.0.0
- click ==8.0.1
- dill ==0.3.3
- et-xmlfile ==1.1.0
- filelock ==3.0.12
- fuzzywuzzy ==0.18.0
- idna ==2.10
- importlib-metadata ==4.5.0
- joblib ==1.0.1
- lxml ==4.6.3
- nlp ==0.4.0
- nltk ==3.6.2
- numpy ==1.20.3
- openpyxl ==3.0.7
- pandas ==1.2.4
- pyarrow ==4.0.1
- python-Levenshtein ==0.12.2
- python-dateutil ==2.8.1
- pytz ==2021.1
- regex ==2021.4.4
- requests ==2.25.1
- rouge-score ==0.0.4
- scikit-learn ==0.24.2
- scipy ==1.6.3
- six ==1.16.0
- sklearn ==0.0
- soupsieve ==2.2.1
- threadpoolctl ==2.1.0
- tqdm ==4.61.0
- typing-extensions ==3.10.0.0
- urllib3 ==1.26.5
- xlrd ==2.0.1
- xxhash ==2.0.2
- zipp ==3.4.1