Post by ummefatihaayat12 on Feb 28, 2024 1:47:35 GMT -5
Computational linguists are the ones who primarily deal with this selection and processing of text data . And after noting it, the data scientists or Machine Learning experts will be the ones to train the machine with those examples. The dialogue between Álvaro Barbero and Marta Guerrero, coordinator of NLP projects at the IIC, was the clearest demonstration that this technology continues to require human intervention and, furthermore, the collaboration of traditionally distant disciplines. They both agreed that all the previous work with the corpora requires even more dedication than training the model.
Martha GuerreroFor this reason, the experience made the IIC incorporate a consulting phase in which the expert of the sector where the NLP is to be applied also participates, so that the resulting system adapts to its needs and, above all, to its language. The three profiles define the objective, the task to be automated, the criteria to follow India Part Time Job Seekers Phone Number List and the scope of the project, because in the end it is more important that it is useful than that it achieves a very high level technologically speaking. Then, the business expert will also guide the computational linguists in annotating the corpus . According to Marta Guerrero, “it must be annotated with a specific objective and an annotated corpus is not useful for different tasks.” She gave the example of the File Map project with Garrigues, for the automatic analysis of judicial files.
Looking to the future, Álvaro Barbero predicted that NLP will continue to evolve alongside language models – “projects will be more agile and we will be able to tackle more complex tasks” – but that this human collaboration will also continue to work. “In the short-medium term, we are going to continue working in this way, even if the technology or the time we dedicate to each task changes,” Barbero assured. Real applications of NLP The round table revealed many of the applications of Natural Language Processing (NLP) with real use cases. All participants agreed, first of all, that NLP is a great advantage for knowledge management and information processing in all types of areas . And precisely what they call content intelligence at IBM is, along with conversational assistants, one of their two priorities if we talk about NLP, commented Ángel Sevillano, AI Solutions Offering Leader at IBM Consulting for Spain, Portugal and Greece.