BE Natural Language Processing Paper Solutions

Explain Named Entity Recognition with example.

Named Entity Recognition (NER)

Named Entity Recognition is a Natural Language Processing task that automatically identifies and classifies named entities (specific objects) in text into predefined categories like persons, organizations, locations, dates, etc.
How it
Continue reading →

Differentiate backoff and interpolation.

Imagine you're building a text prediction system that predicts the next word after "I love my ___" using a trigram model, but your training data doesn't contain the exact phrase "I love my" (zero count problem).

Backoff approach: The system first tries to use the trigram "I love
Continue reading →

About us

A truly open platform where you may ask questions and get answers. We also provide comprehensive and easy-to-understand answers to question papers. discover...

Solution

MSc IT Subjects BSc IT Subjects BCA Subjects MCA Subjects BE Subjects IMCA Subjects

Site status

Sitemap

IT Prashnavali, Since 2021 - 2025

BE - Natural Language Processing

About us

Solution

Site status