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Hi, I think this is a great idea. Also, with the innovations and upgrades in AI, the prediction rate has also been improved. Best of luck for your project.

Replied 3 years ago

By Asif Aslam

Hi, Zubaid. Thank you for your comment and opinion.

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 Dear Asif, Integrating NLP with DL and the trends in this area can be seen in the solutions for multitask learning. Each of the aspects mentioned can extract the specific information in order to integrate it. For a better understanding, you can refer to this paper as it makes really good points. “Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods"

Replied 3 years ago

By Asif Aslam

Hello Kevin, thank you so much for the recommendation. It surely is an interesting paper to read. However, I would like to add that Vision and Language Processing interpretation is just one of the many ways in which AI can be implemented to understand the meaning. In my case, I have to integrate NLP with more than one Deep Learning approach and not just with a video. Thanks for your suggestion once again.

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Hello Asif, I can only help in stating the most common ways of using deep learning for NLP integration. Say, you can go for sentiment analysis, classification of text or using bots. Through these ways the text can be analysed and then one can feed this information to the deep neural networks.  Also, to name one of the new areas which comes with more sophisticated neural networks, you can try using the General Artificial Intelligence. IBM is also an area which became a matter of debate recently between the topics of professional humans and AI and served great results.This debate can serve the purpose of trending area in General Artificial Intelligence and also provide enough research scope.

Replied 3 years ago

By Asif Aslam

Hi Sylvia, Thank you so much. And yes, these topics serve as the right examples of integrating NLP with the help of AI in order to create General Artificial Intelligence. Also, thank you for your recommendations on the trending topics and debates.

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Dear Asif, thank you for asking such an interesting question. I really think that NLP and DL have many applications that are worth discussing. You can refer to this link below on Arxiv. https://arxiv.org/pdf/1708.02709.pdf%C2%A0 It has some nice and interesting trends regarding the conduct of NLP integration based on Deep Learning. I guess it is more difficult to do it theoretically as I am myself struggling how to model the meaning.    I hope this helps.

Replied 3 years ago

By Asif Aslam

Hi Saurabh, Thank you for your suggestion and link. I believe that this link points out some serious and important conceptual issues. It can prove to be useful for others in this discussion as well. And yeah, I am also struggling from modeling the meaning. How far are you in the modeling process and what approach are you using?

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Replied 3 years ago

By Saurabh

Currently, I am following the approach of equilibrium semantics to model the meaning proposed by Prashant Parikh.

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Hi Asif, you can use neural networks or deep neural networks for Natural Language Processing. It can help in processing the test data available in unstructured language.  Moreover, it can also be used to build other applications like Smiley Prediction, Smiley Analysis, Domain-specific chatbots or the chatbots which can talk in regional languages.

Replied 3 years ago

By Asif Aslam

Hi Shwetha, Thank you for your comment.

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There’s a book by the name “Constructing Models of Being by Cognizing” in which an approach is chosen where the highest cognizing is attempted to be reduced to its roots including the communication part. It was argued that the roots are 1-/2- place classifiers or relationships. On the other hand, it is shown that ANN or DNF can be used to build the 1-/2- place classifiers as well. The work outlines that it is possible to reduce the NL texts to the algorithmic representations in systems or it can be used to turn NL into extended compilators. This can take place as any English clause is taken as a 1-/2-place classifier. Also, you can refer to "Automating Acquisition and Explanation of Strategy Knowledge" by S. Grigoryan. Good luck!  

Replied 3 years ago

By Asif Aslam

Hello Vladimir, thank you. I am sure these suggestions and your opinion will prove useful for this discussion.

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Hi, I made a similar discussion talking about the impact of NLP in medical emergencies.   I believe that in order to remove unnecessary complications it is better to create a specified language for certain tasks to design the communication between computer systems and humans. This enables the use of artificial intelligence to answer the questions asked, only perform the specified tasks and control the related equipment, and to provide the required information. So that the humans can have their hands and eyes free and perform other tasks at the same time.   In short, it’s better to enable the computers to perform the below tasks: Processing the spoken words reliably Translating the words into text (readable form) Verifying the words and complying them to proper grammar and syntax Determining the command given by the human Responding according to the command by giving the right information and using the accurate equipment Reply in the mode that can be either heard or seen by the human   These points are important to be considered for safety purposes. I hope it helps you somehow with your  research.

Replied 3 years ago

By Asif Aslam

Hi Yusuf, thank you for the explained answer. I guess I have also read that discussion. I will search more about this. Thank you.

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