Evaluation of BERT-like models for small scale ad-hoc information retrieval
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. The main challenge tackled was answering the question...
Main Author: | Roos, Daniel |
---|---|
Format: | Others |
Language: | English |
Published: |
Linköpings universitet, Artificiell intelligens och integrerade datorsystem
2021
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177675 |
Similar Items
-
Named-entity recognition with BERT for anonymization of medical records
by: Bridal, Olle
Published: (2021) -
Argument Mining: Claim Annotation, Identification, Verification
by: Karamolegkou, Antonia
Published: (2021) -
Transfer Learning for Multilingual Offensive Language Detection with BERT
by: Casula, Camilla
Published: (2020) -
The Influence of M-BERT and Sizes on the Choice of Transfer Languages in Parsing
by: Zhang, Yifei
Published: (2021) -
Context matters : Classifying Swedish texts using BERT's deep bidirectional word embeddings
by: Holmer, Daniel
Published: (2020)