Exam AI-900 topic 1 question 199 discussion

I got in exam 5/9/23.

Named entity recognition (NER): This is crucial for identifying key pieces of information within a user's text, such as: Product names (for orders). Document titles (for retrieval). Order numbers (for status updates). Therefore, NER is essential for all three of the chatbot's functions. Language modeling: Language modeling is used to predict the next word in a sequence. This is used in the creation of the underlying chatbot, and to create coherent responses. This is a background process. It does not directly preform the actions requested. Therefore, the most important NLP technique for this chatbot is B. Named entity recognition (NER).

Language modeling is a fundamental part of NLP and is used under the hood in many NLP tasks, including intent recognition and NER. But, it's not the specific type of NLP that directly addresses the requirements of the chatbot.

The correct answer is D. Language modeling, as it enables the chatbot to perform all three tasks effectively, combining intent recognition and entity understanding into a unified framework

I like the answer D - that is cuz Language Modeling goes beyond NER, and we need the features beyond NER like intent, and natural language understanding. Language modeling offers a more complex set of features than simple NER.

Language modeling is the correct answer. Name Entity Recognition is more about identifying specific entities in the text and is not universally applicable to actions provided in the question.

Answer is B. Big Trust

To achieve the specified tasks of accepting customer orders, retrieving support documents, and fetching order status updates, named entity recognition (NER) is the most suitable type of natural language processing (NLP)

Answer is D, we need to capture user's intent

The correct answer should be Azure LUIS, as this is the Azure service which would allow the chatbot to perform "intent recognition". In this context, it is required to not only identify the name entities but also the user's intent (action) intended to perform on these entities.

ChatGPT

D is the update answer

B is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/named-entity-recognition/overview

I think given answer is correct. the most suitable type of natural language processing (NLP) to use would be named entity recognition (B). Named entity recognition involves identifying and classifying specific named entities within text, such as customer orders, support documents, and order status updates. By applying named entity recognition, the chatbot can extract the relevant information from user input and perform the corresponding actions accordingly. Sentiment analysis (A) focuses on analyzing emotions and opinions expressed in text, which is not directly related to the actions described. Translation (C) involves converting text from one language to another, which is not necessary for the described actions. Language modeling (D) involves predicting the next word or phrase in a given context, which is not directly applicable to the described actions either. (Chat GPT)

B. named entity recognition

My answer is D

A language model is a machine learning model designed to represent the language domain. The correct answer is what is given