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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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 ...
2 votes
1 answer
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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 ...
1 vote
1 answer
124 views

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 ...
7 votes
2 answers
2k views

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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4 votes
1 answer
3k views

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 ...
2 votes
0 answers
31 views

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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2 votes
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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 ...
3 votes
2 answers
101 views

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 ...
8 votes
1 answer
1k views

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?
4 votes
2 answers
146 views

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 ...
9 votes
1 answer
306 views

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 ...
3 votes
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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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3 votes
2 answers
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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 ...
3 votes
2 answers
233 views

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: ...
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7 votes
1 answer
2k views

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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8 votes
2 answers
446 views

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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10 votes
1 answer
338 views

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 ...
4 votes
2 answers
148 views

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 ...