Comments on: Typology using neo4j wins 2 awards at the German federal competition young scientists.

By: How Generalized Language Models outperform Modified Kneser Ney Smoothing by a Perplexity drop of up to 25%

Tue, 15 Apr 2014 20:11:53 +0000

[…] from Till Speicher and Paul Georg Wagner implementing one of my ideas for next work prediction as an award winning project for the Young Scientists competition and several iterations over this idea which resulted in gaining a deeper understanding of what I am […]

By: How Generalized Language Models outperform Modified Kneser Ney Smoothing by a Perplexity drop of up to 25%

Tue, 15 Apr 2014 20:11:53 +0000

By: The best way to create an autocomplete service: And the winner is…. Giuseppe Ottaviano

Wed, 15 May 2013 13:06:48 +0000

[…] about indexing scored stings for auto completion queries. I stumbled upon this problem after seeing the strength of the predictions of the typology approach for next word prediction on smartphon…. The typology approach had one major drawback: Though its suggestions had a high precision the […]

By: The best way to create an autocomplete service: And the winner is…. Giuseppe Ottaviano

Wed, 15 May 2013 13:06:48 +0000

By: Neo4j based Typology also awarded top 90 at Google Science fair.

Neo4j based Typology also awarded top 90 at Google Science fair. — Tue, 22 May 2012 13:08:53 +0000

[…] I shared the good news about Till and Paul who have been awarded one of the top 5 projects at the German federal competition Young scientists. Today the good news continues. Together with more than 1000 competitors they did also submit the […]