🌳 What is Semantic Dependency Tree?

The Semantic Dependency Tree is a way to interpret every word in a sentence as an acyclic graph. In this tree, each word is linked to another in a specific semantic relationship, altering the context and contributing to its overall meaning.

• 🔹 Nodes: Words in the sentence
• 🔹 Edges: Meaning modifications between words

This tree is crucial because if a sentence is too long, the dependency tree also expands, potentially diluting the meaning between word connections.

📌 Example Sentence:

"John throws the ball."

In a Semantic Dependency Tree, each word is a node, and their relationships form the edges:

• 1️⃣ "John" is the subject (root of the tree).
• 2️⃣ "throws" is the action John is performing, so it connects to "John".
• 3️⃣ "the ball" is the object being thrown, so it connects to "throws".

✅ Relationship Representation:

• "John" → "throws" (🔗 Performer)
• "throws" → "the ball" (🔗 Object)

This tree structure helps us not only understand individual word meanings but also how they relate to each other, shaping the overall meaning of a sentence. 🧩💡