Papers by Konrad Schreiber

1 papers
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks (D18-1)

Copied to clipboard

Challenge: a new approach for aspect-based sentiment analysis is proposed . we compare the performance of the proposed approach with pipeline approaches .
Approach: They propose a model for aspect-based sentiment analysis that uses a convolutional neural network and fasttext embeddings to combine the two approaches.
Outcome: The proposed model outperforms pipeline approaches in aspects-based sentiment analysis.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations