Natural Language Processing with Keyphrase Extraction
$200-600 AUD
Paid on delivery
**Project Description:**
Title: AI-Based Keyphrase Extraction Using BERT and Unsupervised Embedding Approach
**Overview:**
This project focuses on developing an AI-based keyphrase extraction system for scientific documents. It aims to address the challenge of extracting keyphrases from longer documents by leveraging advanced NLP techniques. The project utilizes the S20RC dataset and incorporates tools like GROBID for document preprocessing.
**Objectives:**
1. Implement a keyphrase extraction system using BERT and unsupervised embedding approaches.
2. Utilize the S20RC dataset for training and evaluation.
3. Evaluate the system's performance using the F1 score metric.
4. Integrate GROBID for structured data extraction from PDF documents.
5. Develop a pipeline for document preprocessing, keyphrase extraction, and evaluation.
**Methodology:**
1. **Data Collection and Preprocessing:**
- Obtain the S20RC dataset containing scientific documents in PDF format.
- Use GROBID for extracting text content from PDFs and preprocessing.
2. **Model Development:**
- Fine-tune BERT models and explore unsupervised embedding techniques.
- Develop a hybrid model combining BERT and unsupervised embeddings for keyphrase extraction.
3. **Evaluation:**
- Split the dataset and evaluate the models using the F1 score metric.
4. **Results Analysis:**
- Analyze keyphrase extraction results and compare with manual annotations.
**Deliverables:**
1. Python code for the keyphrase extraction system.
2. Preprocessed S20RC dataset.
3. Trained BERT models and unsupervised embedding models.
4. Evaluation report with F1 score results.
5. Visualization of keyphrase extraction results.
**Conclusion:**
This project aims to develop an efficient keyphrase extraction system for scientific documents using AI techniques. By leveraging BERT and unsupervised embeddings, it seeks to achieve high-performance keyphrase extraction. The project contributes to advancements in NLP and information retrieval for scientific literature.
Project ID: #38042806
About the project
52 freelancers are bidding on average $491 for this job
Hi, I hope you are doing fine. I have done many projects with Matlab including my masters and PhD thesis. I have also published 20 journal articles almost all of them used matlab. I have a lot of experience in implemen More
Hello Mate, I'm here to offer IT support for your AI-based keyphrase extraction project. I'll help with implementing BERT and unsupervised embedding approaches, managing the dataset, integrating GROBID, coding in Pyth More
I am a proficient NLP developer with extensive experience in BERT and Unsupervised Embedding Approach. I have a strong background in unsupervised embedding approaches. I'm also very familiar with GROBID. I am confiden More
Hi, I can help u as i have done several similar jobs related to Python, Data Mining, Software Architecture, Java and Matlab and Mathematica, I have read the details and furthermore discuss about it, plz initiate the ch More
Our bid proposes to develop an AI-powered keyphrase extraction system tailored for scientific documents, employing cutting-edge NLP techniques including BERT and unsupervised embedding approaches. Utilizing the S20RC d More
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How are you? I hope this proposal finds you in good spirits and ready for some fun! I have extensive skills at Java, Python, Software Architecture, Data Mining and Matlab and Mathematica We are thrilled to submit a bi More
