Essays about: "Wikipedia data"

Showing result 16 - 20 of 40 essays containing the words Wikipedia data.

  1. 16. Surmize: An Online NLP System for Close-Domain Question-Answering and Summarization

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Alexander Bergkvist; Nils Hedberg; Sebastian Rollino; Markus Sagen; [2020]
    Keywords : Summary; Summarization; Abstractive Summarization; Extractive Summarization; ASUS; ESUS; Question Answering; Question-Answering; QA; QA Model; QA System; Natural Language Processing; NLP; Online NLP System; Machine Learning; ML; Deep Learning; DL; Close-Domain Question Answering; cdQA; Transformer Model; transformer; Transformer; BERT; Watson; Online QA; Online Summary; Online Summarization; Spacy; FastAPI; Surmize; Huggingface;

    Abstract : The amount of data available and consumed by people globally is growing. To reduce mental fatigue and increase the general ability to gain insight into complex texts or documents, we have developed an application to aid in this task. READ MORE

  3. 17. Lexeme Extraction for Wikidata : A proof of concept study for Swedish lexeme extraction

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Simon Samzelius; [2020]
    Keywords : Lexeme; Lemma; Wikidata;

    Abstract : Wikipedia has a problem with organizing and managing data as well as references. As a solution, they created Wikidata to make it possible for machines to interpret these data, with the help of lexemes. A lexeme is an abstract lexical unit which consists of a word’s lemmas and its word class. READ MORE

  4. 18. Automating Question Generation Given the Correct Answer

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

    Author : Haoliang Cao; [2020]
    Keywords : Natural Language Processing; NLP; Natural Language Generation; NLG; Question Generation; Naturligtspråkbehandling; Naturligtspråkgenerering; Frågegenerering;

    Abstract : In this thesis, we propose an end-to-end deep learning model for a question generation task. Given a Wikipedia article written in English and a segment of text appearing in the article, the model can generate a simple question whose answer is the given text segment. The model is based on an encoder-decoder architecture. READ MORE

  5. 19. Anemone: a Visual Semantic Graph

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

    Author : Joan Ficapal Vila; [2019]
    Keywords : Neo4j; Topic Modelling; Semantic Graph; Latent Dirichlet Allocation LDA ; NER; Sentence Reformulation.;

    Abstract : Semantic graphs have been used for optimizing various natural language processing tasks as well as augmenting search and information retrieval tasks. In most cases these semantic graphs have been constructed through supervised machine learning methodologies that depend on manually curated ontologies such as Wikipedia or similar. READ MORE

  6. 20. Transfer learning in Swedish - Twitter sentiment classification

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

    Author : Lucas Grönlund; [2019]
    Keywords : ;

    Abstract : Language models can be applied to a diverse set of tasks with great results, but training a language model can unfortunately be a costly task, both in time and money. By transferring knowledge from one domain to another, the costly training only has to be performed once, thus opening the door for more applications. READ MORE