Sökning: "Information Retrieval IR"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Information Retrieval IR.

1. 1. Informationssökning på sjukhusbibliotek : Bibliotekariers utmaningar och upplevelse av informationssökningsprocessen

   Master-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

   Författare :Agnes Malm; [2023]
   Nyckelord :Sjukhusbibliotek; förmedlad informationssökning; informationssökningsprocessen;

   Sammanfattning : Background: Scientific information is a central part of the evidence-based care (Rosenberg & Donald, 1995). Hospital libraries have opportunity to contribute to the clinical care, for example by offering information retrieval on behalf of healthcare staff. LÄS MER

3. 2. Zero-shot, One Kill: BERT for Neural Information Retrieval

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Stergios Efes; [2021]
   Nyckelord :neural information retrieval; passage ranking; weak supervision; question answering; passage reranking; BERT; transfer-learning in IR; zero-shot IR; passage-retrieval; BERT for passage-retrieval; MS Marco; information retrieval; neural IR;

   Sammanfattning : [Background]: The advent of bidirectional encoder representation from trans- formers (BERT) language models (Devlin et al., 2018) and MS Marco, a large scale human-annotated dataset for machine reading comprehension (Bajaj et al., 2016) that made publicly available, led the field of information retrieval (IR) to experience a revolution (Lin et al. LÄS MER

4. 3. Evaluation of BERT-like models for small scale ad-hoc information retrieval

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Daniel Roos; [2021]
   Nyckelord :NLP; Transformers; BERT; Information retrieval; Semantic similarity;

   Sammanfattning : Measuring semantic similarity between two sentences is an ongoing research field with big leaps being taken every year. This thesis looks at using modern methods of semantic similarity measurement for an ad-hoc information retrieval (IR) system. LÄS MER

5. 4. A Method for the Assisted Translation of QA Datasets Using Multilingual Sentence Embeddings

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Thomas Vakili; [2020]
   Nyckelord :Natural Language Processing NLP ; Information Retrieval IR ; Multilingual Sentence Embeddings; QADatasets; Lesser-Resourced Languages; språkteknologi; informationssökning; språkagnostiska meningsvektorer; fråga-svarskorpusar; språk med mindre resurser;

   Sammanfattning : This thesis presents a method which reduces the amount of labour required to translate the English question answering dataset SQuAD into Swedish. The purpose of the study is to contribute to shrinking the gap between natural language processing research in English and research in lesser-resourced languages by providing a method for creating datasets in these languages which are counterparts to those used in English. LÄS MER

7. 5. Transfer Learning in Deep Structured Semantic Models for Information Retrieval

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Sahand Zarrinkoub; [2020]
   Nyckelord :Deep learning; Deep structured semantic model; information retrieval; machine learning; natural langugange processing; neural information retrieval; Djupinlärning; informationssökning; maskininlärning; språkteknologi; neurala sökmotorer;

   Sammanfattning : Recent approaches to IR include neural networks that generate query and document vector representations. The representations are used as the basis for document retrieval and are able to encode semantic features if trained on large datasets, an ability that sets them apart from classical IR approaches such as TF-IDF. LÄS MER