Sascha Rothe

Avoiding Your Teacher's Mistakes: Training Neural Networks with Controlled Weak Supervision

2017 · arXiv (Cornell University)

Training deep neural networks requires massive amounts of training data, but for many tasks only limited labeled data is available. This makes weak supervision attractive, using weak or noisy signals like the output of heuristic …

Sentence-Level Fluency Evaluation: References Help, But Can Be Spared!

2018

Motivated by recent findings on the probabilistic modeling of acceptability judgments, we propose syntactic log-odds ratio (SLOR), a normalized language model score, as a metric for referenceless fluency evaluation of natural language generation output at …

AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes

2015 · arXiv (Cornell University)

We present \textit{AutoExtend}, a system to learn embeddings for synsets and lexemes. It is flexible in that it can take any word embeddings as input and does not need an additional training corpus. The synset/lexeme …