Papers with Character models

1 papers
An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing (D18-1)

Copied to clipboard

Challenge: Existing studies have shown that character models are less important in the presence of word embeddings, but combining them quickly leads to diminishing returns.
Approach: They propose to combine pre-trained word embeddings, character models and POS tags to improve parsing quality by categorising words by frequency, POS tag and language.
Outcome: The proposed system improves on initialised word embeddings but combines them quickly leads to diminishing returns.

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