Questions tagged [question-answering]

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learn information from text and resolve problem using transformers

Let's imagine that we have some question, like this: "x multiplied by x equals 9. What is x?" For this easy question answer is +-3. I want to make AI model answer on questions like that. To ...
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24 views

Best way to suggest answers given historical question-answer pairs

Many question-answering implementations focus on extracting information from large documents/corpora of text such as Wikipedia. I have access to a full chat log from the customer service of a large ...
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1answer
40 views

which script can be used to finetune BERT fro squad question answering in hugging face library

I have gone through lot of blogs which talk about run_squad.py script from hugging face, but I could not find it in the latest repo. So, which script has to be used ...
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7 views

Does transformer learn from context to context

We are fine-tuning a transformer-based question answering model to answer the questions about the novels with the chronological plot. We are breaking up the novel into chapters and then using them as ...
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1answer
16 views

How to pass input to deep learning models for Multiple choice question answering problem?

I'm currently working on a multiple-choice question answering system. The training set consists of a question, answer and 4 options and I need to predict the correct answer among 4 options. Sometimes ...
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How to process list type questions in Question Answering task [closed]

How to generate question-answer-context triplets for questions with multiple answer strings? How to measure performance for it? For a question with one single answer, we generate one question-answer-...
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1answer
259 views

Bert for QuestionAnswering input exceeds 512

I'm training Bert on question answering (in Spanish) and i have a large context, only the context exceeds 512, the total question + context is 10k, i found that longformer is bert like for long ...
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96 views

huggingface bert - need help on working of code

Looking for some explanation of understanding of the BERT implementation by huggingface. I would explain my understanding below and then ask question: Below is code for question answering ...
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14 views

Question Answering - Was there any direct model before BERT?

This is a follow up question after question-answering-without-bert-transformers . While in search of a question answering mechanism without transformers, I am hitting dead ends. Old question answering ...
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26 views

Question Answering without BERT, transformers

I have a NLP problem, in which I need to find the start and end index of a known block. It is similar to Question answering. So, I am looking for a working code which carries out question answering or ...
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422 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 ...
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1answer
127 views

Closed Domain Question Answering which doesn't answer Questions

I've been exploring Closed Domain Question Answering Implementations which have been trained on SQuAD 2.0 dataset. Ideally, it should not answer questions which the context text corpus doesn't contain ...
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35 views

Select best answer from several existing ones for a question

After analyzing questions on a forum, a human support team has created a set of general answers, that can be used to provide basic answers on the forum. I am trying to build a system that: Selects ...
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32 views

Options to find the most similar question in a dataset of question-answer pairs?

I am building a chatbot that will only handle FAQs, but these FAQs are very specific to an organisation, so I cannot use any existing off-the-shelf solutions, or connect to question-answering APIs. I ...
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2answers
593 views

Question answering (QA) vs Chatbots

Are Question answering (QA) the same as Chatbots? I can not understand the difference between them. For me it's the same thing: interact with a robot that answers questions.
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135 views

Meaningful Information retrieval and question answering for unstructured data - Is it even possible?

Hello good NLP people, I am working on a task that gradually seems not solvable for me. My data-set consists of long, messy, unstructured documents (pdfs, doc, docx, scans with tables, graphs, text, ...
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1answer
61 views

Answer to Question

Looking for a system which can generate answers to questions. Most systems and blogs posted on internet are on Question to answer but not on answer to question or paraphrasing or keyword to questions. ...
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1answer
27 views

Measuring quality of answers from QnA systems

I am having a question answering system which is using Seq2Seq kind of architecture. Actually it is a transformer architecture. When a question is asked it gives startposition and endposition of ...
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1answer
471 views

BERT - How Question answering is different than classification

Basically I am trying to understand how question answering works in case of BERT. Code for both classes QuestionAnswering and Classification is pasted below for reference. My understanding is: <...
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1answer
49 views

Is it possible to create a rule-based algorithm to compute the relevance score of question-answer pair?

In information retrieval or question answering system, we use TD-IDF or BM25 to compute the similarity score of question-question pair as the baseline or coarse ranking for deep learning. In ...