Paraphrase detection of semantically equivalent text
This project aims to explore the possibility of using neural networks/machine learning to train language models to be able to understand and read semantically equivalent text that contains technical knowledge/esoteric terms related to computing and computer science. Furthermore, an additional explor...
Saved in:
Main Author: | Lim, Linus Ji Wei |
---|---|
Other Authors: | Liu Yang |
Format: | Final Year Project |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/70217 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Event detection for biomedical text
by: Pham, Nguyen Minh Thu
Published: (2022) -
Personality detection from text, based on the MBTI model
by: Christienne Grace Regodon, Visco
Published: (2020) -
Text mining with minimum human supervision
by: Lim, Kewin Hong Kwan.
Published: (2012) -
Exploring language model for better semantic matching of text paragraphs
by: Ng, Kwang Sheng
Published: (2022) -
Efficient text classification
by: Tan, Cheryl Qian Ru.
Published: (2010)