4 citations · 4 across the 4 of their papers we have counts for
6 papers
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…
Harmonic Grammar, Optimality Theory, and Syntax Learnability: An Empirical Exploration of Czech Word Order
Ann Irvine, Mark Dredze
This work presents a systematic theoretical and empirical comparison of the major algorithms that have been proposed for learning Harmonic and Optimality Theory grammars (HG and OT…
Twitter as a Source of Global Mobility Patterns for Social Good
Mark Dredze, Manuel García-Herranz, Alex Rutherford +1
Data on human spatial distribution and movement is essential for understanding and analyzing social systems. However existing sources for this data are lacking in various ways; dif…
Embedding Lexical Features via Low-Rank Tensors
Mo Yu, Mark Dredze, Raman Arora +1
Modern NLP models rely heavily on engineered features, which often combine word and contextual information into complex lexical features. Such combination results in large numbers…
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…
Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation
Damianos Karakos, Mark Dredze, Sanjeev Khudanpur
Human language is a combination of elemental languages/domains/styles that change across and sometimes within discourses. Language models, which play a crucial role in speech recog…