Initial commit with project setup

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README.md

@@ -1,11 +1,9 @@
 ---
-title: LESK BERT WSD
+title: Word Sense Disambiguation
 emoji: 🤖
-colorFrom: "#ff7f50"
-colorTo: "#1e90ff"
-sdk: gradio
-sdk_version: "3.0.0"
-app_file: app.py
+colorFrom: blue
+colorTo: purple
+sdk: docker
 pinned: false
 ---
 
@@ -22,3 +20,34 @@ This project implements Word Sense Disambiguation (WSD) using the enhanced Lesk
 
 - The model uses BERT embeddings for better understanding of word contexts.
 - The Lesk algorithm helps disambiguate word senses based on context overlap.
+
+# Word Sense Disambiguation (WSD) NLP Project
+
+This is a Flask-based web application that performs Word Sense Disambiguation using an enhanced version of the Lesk algorithm. The application uses NLTK and BERT models to determine the correct meaning of ambiguous words in a given context.
+
+## Features
+
+- Word Sense Disambiguation using Enhanced Lesk algorithm
+- BERT-based semantic similarity
+- Context-aware word sense selection
+- User feedback system for improving accuracy
+- Web interface for easy interaction
+
+## Technical Details
+
+- Built with Flask
+- Uses NLTK for natural language processing
+- Implements BERT for semantic similarity
+- Includes a feedback system for continuous improvement
+
+## Usage
+
+1. Enter a sentence containing an ambiguous word
+2. The system will automatically detect ambiguous words
+3. Select a word to disambiguate
+4. View the results with definitions and examples
+5. Provide feedback to improve the system
+
+## Requirements
+
+See `requirements.txt` for all dependencies.