Questions tagged [natural-language-understanding]

For questions related to natural language understanding (NLU), which is a subtopic of natural language processing (NLP) that deals with machine reading comprehension. Natural-language understanding is considered a hard problem.

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22 views

Extracting values from text based on keywords

I am trying to read a PDF file and put it in Python string and trying to fetch information based on keywords. The text here is completely irregular. Example of text Blockquote Ram has taken an ...
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1answer
50 views

How would one disambiguate between two meanings of the same word in a sentence?

The boy lifted the bat and hit the ball. In the above sentence, the noun "bat" means the wooden stick. It does not mean bat, the flying mammal, which is also a noun. Using NLP libraries to ...
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15 views

Is there any neural network model that can perform multiple NLP steps at once?

I realize most NLP algorithms have multiple steps. (e.g. OCR/speech rec > syntax > semantics > response logic > semantic output > natural language output) Is there any NN model that can ...
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1answer
66 views

What dataset might Elon Musk's Dall-E have used?

Dall-E, it can generate many imaginative images from the description, even some peculiar images, how did they actually create this kind of dataset to train this AI , because there is not much of that ...
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2answers
77 views

How to extract parameters from a text using AI/NLP

lets say I have three texts: "make a heading that says hello word" "make a heading of hello world" "create heading consist of hello world" How can I fetch those groups ...
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0answers
94 views

What is MNLI-(m/mm)?

I came across the term MNLI-(m/mm) in Table 1 of the paper BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. I know what MNLI stands for, i.e. Multi-Genre Natural ...
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0answers
14 views

Chatbot with Context Management and Awareness

I am currently implementing a closed-domain FAQ chatbot using https://www.sbert.net/index.html as my main model for answering questions from the users. I wish to extend the functionality of the ...
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1answer
80 views

Are there any meaningful books entirely written by an artificial intelligence?

Are there any meaningful books entirely written by an artificial intelligence? I mean something with meaning, unlike random words or empty books. Something that can be charactersed as fiction ...
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0answers
29 views

Is there a complement to GPT/2/3 that can be trained using supervised learning methods?

This is a bit of a soft question, not sure if it's on topic, please let me know how I can improve it if it doesn't meet the criteria for the site. GPT models are unsupervised in nature and are (from ...
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2answers
48 views

Is it possible to classify the subject of a conversation?

I would like to classify the subject of a conversation. I could classify each messages of the conversation, but I will loose some imformation because of related messages. I also need to do it ...
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1answer
81 views

How could facts be distinguished from opinions?

As a software engineer, I am searching for an existing solution or, if none exists, willing to create one that will be able to process texts (e.g. news from online media) to extract/paraphrase dry ...
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0answers
45 views

Can in principle GPT language models learn physics?

Does anyone know of research involving the GPT models to learn not only regular texts, but also learn from physics books with the equations written in latex format? My intuition is that the model ...
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0answers
45 views

How homographs is an NLP task can be treated?

A homograph - is a word that shares the same written form as another word but has a different meaning. They can be even different parts of speech. For example: close(verb) - close(adverb) lead(verb)...
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1answer
60 views

How to predict the “word” based on the meaning in a document?

What I mean to say is For example, if I give the meaning of Apple from the dictionary as input to the program, it should give output as Apple. Or I say My day to day job involves monitoring and ...
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2answers
324 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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0answers
40 views

Can text-independent writer identification be done without multi-sentence training datasets for each writer?

I am trying to learn more about text-independent writer identification and was hoping for some advice. I have a folder with 100k images, each of them with a different handwritten sentence. All of the ...
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0answers
21 views

Looking for an Approach method for News maker

I have some databases with information about exports and imports of a country, what are they importing, the times that an importation was made, the country from and target, everything related to ...
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0answers
34 views

How to implement NLP for ecommerce product search

I'm implementing an ecommerce search using nlp. there is a lack of clear documentation anywhere online about implementation and flow. this is what i'm doing. Search query comes in Do spellcheck Do ...
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1answer
77 views

When to use NLP, NLG and NLU in conversation agents?

I had read some blogs (like 1, 2 or 3) about what the difference between all three of them is. I am trying to build an open domain conversation agent using natural language AI. That agent can do ...
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1answer
46 views

How can I make ELIZA more realistic?

I’ve coded a simple ELIZA chatbot for a high school coding competition. The chatbot is part of an app that’s designed to help its user cope with depression, anxiety, and similar mental health ...
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0answers
35 views

Designing a chatbot personal project with zero coding experience, using an existing platform

My girlfriend has a masters degree in linguistics and would like to create an AI chatbot personal project to show potential employers her linguistics skills since she is struggling to find a job. ...
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0answers
26 views

How well can NLP techniques recognize connotations in natural languages?

What is the state of the art with respect to recognizing connotations in natural languages? For instance: Trump is a better president than Obama. [Praising] Trump is the worst president ...
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1answer
42 views

How would you build an AI to output the primary concept of a paragraph?

My thinking is you input a paragraph, or sentence, and the program can boil it down to the primary concept(s). Example: Input: Sure, it would be nice if morality was simply a navigation toward ...
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1answer
86 views

What are the challenges faced by using NLP to convert mathematical texts into formal logic?

From what I've figured (a) converting mathematical theorems and proofs from English to formal logic is a straightforward job for mathematicians with sufficient background, except that it takes time. ...
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0answers
19 views

What are the current research trends in recognizing narrative similarity?

I am currently working on a term paper on the topic of Narrative Similarity, based on Loizos Michael's work "Similarity of Narratives". I am trying to find the latest trends within this field of study ...
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2answers
831 views

What are the current big challenges in natural language processing and understanding?

I'm doing a paper for a class on the topic of big problems that are still prevalent in AI, specifically in the area of natural language processing and understanding. From what I understand, the areas: ...
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9answers
6k views

What is the actual quality of machine translations?

As an AI layman, till today I am confused by the promised and achieved improvements of automated translation. My impression is: there is still a very, very far way to go. Or are there other ...
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1answer
2k views

How to recognise metaphors in texts using NLP/NLU?

What are the current NLP/NLU techniques that can extract metaphors from texts? For example His words cut deeper than a knife. Or a simpler form like: Life is a journey that must be travelled no ...
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2answers
140 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 ...
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4answers
1k views

Why does Google Translate produce two different translations for the same Chinese text?

I don't understand why Google Translate translates the same text in different ways. Here is the Wikipedia page of the 1973 film "Enter the Dragon". You can see that its traditional Chinese ...
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1answer
4k views

How can I leverage artificial intelligence and virtual reality to create intelligent automatic story generation?

How can I leverage artificial intelligence and virtual reality to create intelligent automatic story generation? My idea is to come up with a system that is empowering the user’s imagination to create ...
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1answer
217 views

What are the most recent and influential breakthroughs in NLP?

I'm looking at the history of NLP, starting in the 1950s, with the Georgetown–IBM experiment. What are examples of the most recent (e.g. in the last 5-10 years) and influential breakthroughs in ...
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1answer
1k views

How can a system like Jarvis understand the commands and take actions?

I am looking to make an AI like Jarvis. A perfect real-life example of this type of system is the simple AI that Mark Zuckerberg has recently built. Here is a description of how his AI works. From ...