For questions about the question answering discipline, which is concerned with building systems that automatically answer questions posed by humans in a natural language.
Questions tagged [question-answering]
29 questions
34
votes
6 answers
How does an AI like ChatGPT answer a question in a subject which it may not know?
After seeing StackOverflow's banning of ChatGPT, I explored it out of curiosity. It's marvellous as it can write code by itself!
Later to check if it knows chess as well like Google-Deepmind's AlphaZero AI, I asked below questions:
Me: Does openai…

iammilind
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10
votes
1 answer
Can Bayesian inference be combined with knowledge-based systems?
I've been struggling with the connection between knowledge-based AI systems and Bayesian inference for a while now. While I continue to sweep through the literature, I would be happy if someone can answer these more specific questions directly
Are…

PintoUbuntu
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9
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1 answer
Why does nobody use decision trees for visual question answering?
I'm starting a project that will involve computer vision, visual question answering, and explainability. I am currently choosing what type of algorithm to use for my classifier - a neural network or a decision tree.
It would seem to me that, because…

The Impossible Squish
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8
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1 answer
Which algorithm is used in the robot Sophia to understand and answers the questions?
Which algorithm is used in the robot Sophia to understand and answer the questions?

dua fatima
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8
votes
2 answers
How can I translate a natural language question to an MDX query?
I am researching Natural Language Processing (NLP) to develop an NL Question Answering system. The answering part is already done. So processing the question remains, along with the questions regarding the algorithms.
The final product should allow…

lilienfa
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7
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1 answer
Which parsing algorithm can I use for NLP question answering system?
I am currently working on my last project before graduating. For this project, I have to develop a Natural Language Question Answering System. Now, I have read quite some research papers regarding this topic and have figured out everything except…

lilienfa
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7
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2 answers
How is the F1 score calculated in a question-answering system?
I have an NLP model for answer-extraction. So, basically, I have a paragraph and a question as input, and my model extracts the span of the paragraph that corresponds to the answer to the question.
I need to know how to compute the F1 score for such…

HLeb
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4
votes
2 answers
Is there a machine learning system that is able to understand mathematical problems given in a textual description?
Is there a machine learning system that is able to "understand" mathematical problems given in a textual description, such as
A big cat needs 4 days to catch all the mice and a small cat needs 12 days. How many days need both, if they catch mice…

georg0221
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4
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2 answers
Is there a service that can search for answers to general questions?
I was looking for an API service where I can ask it a general question (for example, when was Einstein born?) and retrieve an answer from the web.
Is there any available service to do that? Have tried Watson services, but didn't work as expected.

user3607093
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4
votes
1 answer
How to fine tune BERT for question answering?
I wish to train two domain-specific models:
Domain 1: Constitution and related Legal Documents
Domain 2: Technical and related documents.
For Domain 1, I've access to a text-corpus with texts from the constitution and no question-context-answer…

Anirban Saha
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3
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0 answers
What is the "question" when using Dynamic Memory Networks to do part-of-speech tagging and sentiment analysis?
In the paper Ask Me Anything: Dynamic Memory Networks for Natural Language Processing the authors described a Dynamic Memory Network in the context of question answering. Then, they also tested the network on sentiment classification and…

mauna
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3
votes
2 answers
ChatGPT claims that it doesn't get information from anywhere, so can't say why it gave a blatantly false statement. How is that possible?
I asked ChatGPT a question, and its response included this statement:
In "The Ruling Class" film, which was released in 1972, Patrick McGoohan played the role of Bishop Lampton.
Unlike many of its vague or weaselly responses, this is a direct…

Ray Butterworth
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3
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2 answers
How to generate a dataset for question answering from books (like Facebook's bAbI)?
I wanted to train a chatbot for answering questions from books. I am trying to use Dynamic Memory Networks to do so.
How can I generate a data set, as Facebook did in the case of bAbI tasks, so that it can tackle a variety of questions on the data…

Shubham Bhardwaj
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3
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2 answers
What chatbots can answer this type of simple question that only requires to keep track of the context?
I have tried with two chat-bots Cleverbot and Alan, and I got disappointing results.
me: Socrates is a man
bot: blah blah (common bot nonsense instead of an "ok")
me: Who is a man?
alan1: The people that write my answers haven't provided an…
user5977
3
votes
2 answers
What are the advantages of Machine Learning compared to traditional programming for developing a chatbot?
I am currently building a chatbot. What I have done so far is, collected possible questions/training data/files and create a model out of it using Apache OpenNLP; the model is able to predict all the questions that are in the training data and fails…

java_dev
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