Essays about: "språkmodellering"

Found 4 essays containing the word språkmodellering.

  1. 1. BERT Language Modelling on Network Log Data for Generalized Unsupervised Intrusion Detection

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

    Author : Fynn van Westen; [2022]
    Keywords : BERT; Language-Modelling; Cyber-Security; Intrusion-Detection; NLP; Anomaly-Detection; One-Class-Classification; BERT; språkmodellering; cybersäkerhet; intrångsdetektering; NLP; anomalidetektering; en-klass-klassificering;

    Abstract : Intrusion detection is the most prominent topic of modern computer network security. The potential attack surface is growing exponentially every year. To cope with the amounts of data which accrue, automated methods for detecting undesired network activity are the only feasible solution. READ MORE

  3. 2. Text Analysis in Fashion : Keyphrase Extraction

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

    Author : Yuhao Lin; [2020]
    Keywords : Keyphrase Extraction; Deep Neural Networks; Nyckelfras ekstraktion; Djup Neurala nätverk;

    Abstract : The ability to extract useful information from texts and present them in the form of structured attributes is an important step towards making product comparison algorithm in fashion smarter and better. Some previous work exploits statistical features like the word frequency and graph models to predict keyphrases. READ MORE

  4. 3. Using Bidirectional Encoder Representations from Transformers for Conversational Machine Comprehension

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

    Author : Evangelina Gogoulou; [2019]
    Keywords : conversational machine comprehension; question answering; transformers; self-attention; language modelling; samtalsmaskinförståelse; frågesvar; transformatorer; självuppmärksamhet; språkmodellering;

    Abstract : Bidirectional Encoder Representations from Transformers (BERT) is a recently proposed language representation model, designed to pre-train deep bidirectional representations, with the goal of extracting context-sensitive features from an input text [1]. One of the challenging problems in the field of Natural Language Processing is Conversational Machine Comprehension (CMC). READ MORE

  5. 4. Cooperative versus Adversarial Learning: Generating Political Text

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

    Author : Jacob Jonsson; [2018]
    Keywords : NLP; GAN; GANs; Genertive adversarial networks; CoT; Cooperative training; Generative models; Language models;

    Abstract : This thesis aims to evaluate the current state of the art for unconditional text generation and compare established models with novel approaches in the task of generating texts, after being trained on texts written by political parties from the Swedish Riksdag. First, the progression of language modeling from n-gram models and statistical models to neural network models is presented. READ MORE