Essays about: "extractive document summarization"

Found 4 essays containing the words extractive document summarization.

1. 1. 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. 2. A Study on Neural Network Modeling Techniques for Automatic Document Summarization

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Chun-I Tsai; [2019]
   Keywords : ;

   Abstract : With the Internet becoming widespread, countless articles and multimedia content have been filled in our daily life. How to effectively acquire the knowledge we seek becomes one of the unavoidable issues. READ MORE

4. 3. Extractive Multi-document Summarization of News Articles

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Harald Grant; [2019]
   Keywords : NLP; extractive summarization; multi-document; neural embeddings; information extraction; text-to-text generation; textrank; BERT; attention; Transformer; transfer learning; fine-tuning; ROUGE;

   Abstract : Publicly available data grows exponentially through web services and technological advancements. To comprehend large data-streams multi-document summarization (MDS) can be used. In this research, the area of multi-document summarization is investigated. READ MORE

5. 4. Using semantic folding with TextRank for automatic summarization

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Simon Karlsson; [2017]
   Keywords : automatic summarization; natural language processing; TextRank; semantic folding; extractive document summarization;

   Abstract : This master thesis deals with automatic summarization of text and how semantic folding can be used as a similarity measure between sentences in the TextRank algorithm. The method was implemented and compared with two common similarity measures. READ MORE