Essays about: "sequence-to-sequence"

Showing result 1 - 5 of 29 essays containing the word sequence-to-sequence.

  1. 1. Streamline searches in a database

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : David Ellerblad Valtonen; André Franzén; [2023]
    Keywords : AI; NLP; ML; Artificial Intelligence; Natural Language Processing; Machine Learning; text-to-sql; seq-to-seq; sequence-to-sequence;

    Abstract : The objective of this thesis is to explore technologies and solutions and see if it is possible to make a logistical flow more efficient. The logistical flow consists of a database containing materiel for purchase or reparation. As of now, searches may either result in too many results, of which several are irrelevant, or no results at all. READ MORE

  2. 2. Few-shot Question Generation with Prompt-based Learning

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Yongchao Wu; [2022]
    Keywords : Nautral Lanugage Processing; Question Generation; Neural Networks; Prompt-based Learning; Language Models;

    Abstract : Question generation (QG), which automatically generates good-quality questions from a piece of text, is capable of lowering the cost of the manual composition of questions. Recently Question generation has attracted increasing interest for its ability to supply a large number of questions for developing conversation systems and educational applications, as well as corpus development for natural language processing (NLP) research tasks, such as question answering and reading comprehension. READ MORE

  3. 3. Probabilistic Forecasting through Reformer Conditioned Normalizing Flows

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Samuel Norling; [2022]
    Keywords : ;

    Abstract : Forecasts are essential for human decision-making in several fields, such as weather forecasts, retail prices, or stock predictions. Recently the Transformer neural network, commonly used for sequence-to-sequence tasks, has shown great potential in achieving state-of-the-art forecasting results when combined with density estimations models such as Autoregressive Flows. READ MORE

  4. 4. CondBEHRT: A Conditional Probability Based Transformer for Modeling Medical Ontology

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Linus Lerjebo; Johannes Hägglund; [2022]
    Keywords : Artificial Intelligence; Explainable AI; Machine Learning; Deep Learning; Data Mining; Electronic Health Records; Transformer; Graph Neural Network; Natural Language Processing; Hypertension; Kidney Disease; Heart Failure; Medical Ontology;

    Abstract : In recent years the number of electronic healthcare records (EHRs)has increased rapidly. EHR represents a systematized collection of patient health information in a digital format. EHR systems maintain diagnoses, medications, procedures, and lab tests associated with the patients at each time they visit the hospital or care center. READ MORE

  5. 5. An Initial Investigation of Neural Decompilation for WebAssembly

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Adam Benali; [2022]
    Keywords : Decompilation; WebAssembly; Reverse Engineering; Neural Machine Translation; Décompilation; WebAssembly; Rétro-Ingénierie; Traduction Automatique Neuronale; Dekompilering; WebAssembly; Reverse Engineering; Neural Maskinöversättning;

    Abstract : WebAssembly is a new standard of the World Wide Web that is used as a compilation target and which is meant to enable high-performance applications. As it becomes more popular, the need for corresponding decompilers increases, for security reasons for instance. READ MORE