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Paper-KG For Conversational Paper Recommender Systems

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Paper-KG

Paper-KG For Conversational Paper Recommender Systems

add * -> base-> evaluations 20220502

Building Paper-KB rules based on Brat tool

Some Shell

  • create .ann file: find ./* -name '*.txt'|sed -e 's|\.txt|.ann|g'|xargs touch
  • for config updata: echo ./acl/*/* | xargs -n 1 cp -f ./annotation.conf

Entities

Titles: Recommendation ending.
Theories: A theory can also be a conclusion. It may have been validated or may not have been validated yet.
Datasets: Datasets or corpora.
Applications: Tools or Apps.
Sectors: For classification.
Definitions: Explanation or addition, it is frequently a sentence.
Models: It is usually to complete a specific task.
Methods: A simple procedure or method.
Issues: Unresolved or new concerns raised by the writers.
Tasks: (1) A new task usually comes with a new evaluation dataset or measure. (2) Near the beginning of the paragraph, followed by the challenge.
Evaluations: Metrics for evaluation based on some benchmarks.
Persons: Author (Lead author only).

Relations

Contributions: e.g. Models -> Titles
Solution: e.g. Models -> Issues
Existing-Solution: e.g. Models -> Issues
Base: e.g. Datasets -> Methods
classification: e.g. Sectors -> Datasets
Attribute: e.g. Definitions -> Models
Challenge: e.g. Issues -> Sectors
Acronym: e.g. Methods -> Methods
Result: e.g. Evaluations -> Methods
Author: e.g. Persons -> Titles

Note: annotation.conf contains the detailed definitions.

Maintain the grammar's coherence as much as possible.

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Paper-KG For Conversational Paper Recommender Systems


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