RRepoGEO

REPOGEO REPORT · LITE

BaptisteBlouin/EventExtractionPapers

Default branch master · commit 6a92eebd · scanned 6/6/2026, 4:13:23 PM

GitHub: 580 stars · 93 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface BaptisteBlouin/EventExtractionPapers, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify repository's purpose in README's first sentence

    Why:

    CURRENT
    This repository contains resources for Natural Language Processing (NLP) with a focus on the task of Event Extraction.
    COPY-PASTE FIX
    This repository is a curated list of research papers, datasets, and tools focused on Natural Language Processing (NLP) for the task of Event Extraction.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://github.com/BaptisteBlouin/EventExtractionPapers
  • lowtopics#3
    Add more descriptive topics to improve categorization

    Why:

    CURRENT
    event-coreference, event-detection, event-extraction, information-extraction, nlp, papers
    COPY-PASTE FIX
    event-coreference, event-detection, event-extraction, information-extraction, nlp, papers, research-papers, awesome-list

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface BaptisteBlouin/EventExtractionPapers
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ACE (Automatic Content Extraction) Program
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ACE (Automatic Content Extraction) Program · recommended 1×
  2. Conditional Random Fields (CRFs) · recommended 1×
  3. Support Vector Machines (SVMs) · recommended 1×
  4. Recurrent Neural Networks (RNNs) · recommended 1×
  5. Convolutional Neural Networks (CNNs) · recommended 1×
  • CATEGORY QUERY
    What are the key research papers and methods for NLP event extraction tasks?
    you: not recommended
    AI recommended (in order):
    1. ACE (Automatic Content Extraction) Program
    2. Conditional Random Fields (CRFs)
    3. Support Vector Machines (SVMs)
    4. Recurrent Neural Networks (RNNs)
    5. Convolutional Neural Networks (CNNs)
    6. LSTMs
    7. BERT
    8. RoBERTa
    9. XLNet
    10. DyGIE++
    11. Text-to-Text Transfer Transformer (T5)
    12. PL-Marker
    13. DEGREE
    14. Graph Neural Networks (GNNs)
    15. LLMs
    16. ELECTRA
    17. BART

    AI recommended 17 alternatives but never named BaptisteBlouin/EventExtractionPapers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find tools and datasets specifically for information extraction and event detection?
    you: not recommended
    AI recommended (in order):
    1. spaCy
    2. Hugging Face Transformers
    3. AllenNLP
    4. OpenIE (Stanford CoreNLP)
    5. Gate (General Architecture for Text Engineering)
    6. ACE (Automatic Content Extraction) Datasets
    7. OntoNotes
    8. WikiEvents
    9. TAC KBP (Text Analysis Conference Knowledge Base Population)
    10. MUC (Message Understanding Conference) Datasets
    11. SemEval (Semantic Evaluation) Tasks
    12. NYT (New York Times) Annotated Corpus

    AI recommended 12 alternatives but never named BaptisteBlouin/EventExtractionPapers. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of BaptisteBlouin/EventExtractionPapers?
    pass
    AI did not name BaptisteBlouin/EventExtractionPapers — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts BaptisteBlouin/EventExtractionPapers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named BaptisteBlouin/EventExtractionPapers explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo BaptisteBlouin/EventExtractionPapers solve, and who is the primary audience?
    pass
    AI did not name BaptisteBlouin/EventExtractionPapers — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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BaptisteBlouin/EventExtractionPapers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite
BaptisteBlouin/EventExtractionPapers — RepoGEO report