Questions tagged [question-answering]
For questions about the question answering discipline, which is concerned with building systems that automatically answer questions posed by humans in a natural language.
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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 ...
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How to evaluate output of text generation models?
Evaluation of a wide variety of natural language generation (NLG) tasks is difficult. For instance, for a question answering model, it is hard for a human to quantify how well the model has answered a ...
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NLP: Question answer with 2 contexts
Is there a Hugging Face Transformer that takes 2 contexts as input for question answering? For example, I could have transcript of a meeting in first context and agenda of the meeting in the second ...
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How does an AI 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 ...
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Generative question answering system with recommendation engine for text documents
I have a collection of documents with semi structured text (i.e. html documents).
Now, I would like to generate questions and answer options from this collection of documents, let users then answer ...
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Do we need negative samples for tuning extractive QA systems?
I am checking the API for the haystack reader:
https://haystack.deepset.ai/reference/reader
and in particular the fine-tuning method (.train).
I was just wondering if for training/fine-tuning a QA ...
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Simplest approach to sentence inversion
I'm looking for an open source library/framework to perform (what I think is called?) sentence inversion. What I'm looking to do is take a sentence like:
...
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No question representation invlolved in the equation of a QA reader
I have read Dense passage retrieval for Open Domain Question Answering, and in the page 7 they define the probability that a span contains the answer as follows:
Equation $(5)$ defines an attention ...
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In-batch negative training Improves the results
I have read Dense passage retrieval for Open Domain Question Answering, and in page 6 it talks about in-batch negative training, it states the following:
We find that using a similar
configuration (7 ...
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Is there an unsupervised learning method for determine the most common questions within a dataset?
I have a dataset consisting of questions from customers. I am curious of the n most frequent asked questions, regardless of the variation the questions might appear in.
Is there NLP methods for ...
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How to generate a response while considering past questions as well?
User: What is the tallest mountain?
Agent: Everest
User: Where is it located? # Agent hears: "Where is Everest located?"
Agent: Nepal
I want to be able ...
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Is there a survey that describes the most effective approaches for an answer retrieval problem?
I have a dataset that contains pairs of a question and an answer. My problem is to train a model that can search for the right answer from the pool of my answers given the newly input question, so ...
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Can Facebook's LASER be used like BERT?
Can Facebook's LASER be fine-tuned like BERT for Question Answering tasks or Sentiment Analysis?
From my understanding, they created an embedding that allows for similar words in different languages ...
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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 ...
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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 ...
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Will structured knowledge bases continue to be used in question answering with the likes of BERT gaining popularity?
This may come across as an open and opinion-based question, I definitely want to hear expert opinions on the subject, but I am also looking for references to materials that I can read deeply.
One of ...
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Are there any approaches other than deep learning to deal with unexpected questions in a question answering system?
I'm working on a question answering bot as my graduation project. The main concept is having a text file with many sentences, and building a question answering bot which answers a user's question ...
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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 ...
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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?
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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 ...
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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 ...
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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 ...
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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 ...
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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: ...
user5977
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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 ...
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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 ...
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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 ...
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Is there a service that can search for answers to general questions? [closed]
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 ...
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