10 citations · 14 across the 4 of their papers we have counts for
5 papers
Grammatical Error Correction with Neural Reinforcement Learning
Keisuke Sakaguchi, Matt Post, Benjamin Van Durme
We propose a neural encoder-decoder model with reinforcement learning (NRL) for grammatical error correction (GEC). Unlike conventional maximum likelihood estimation (MLE), the mod…
Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
Francis Ferraro, Adam Poliak, Ryan Cotterell +1
We study how different frame annotations complement one another when learning continuous lexical semantics. We learn the representations from a tensorized skip-gram model that cons…
Feature Generation for Robust Semantic Role Labeling
Travis Wolfe, Mark Dredze, Benjamin Van Durme
Hand-engineered feature sets are a well understood method for creating robust NLP models, but they require a lot of expertise and effort to create. In this work we describe how to…
A Critical Examination of RESCAL for Completion of Knowledge Bases with Transitive Relations
Pushpendre Rastogi, Benjamin Van Durme
Link prediction in large knowledge graphs has received a lot of attention recently because of its importance for inferring missing relations and for completing and improving noisil…
Interactive Knowledge Base Population
Travis Wolfe, Mark Dredze, James Mayfield +4
Most work on building knowledge bases has focused on collecting entities and facts from as large a collection of documents as possible. We argue for and describe a new paradigm whe…