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ACL
2015
10 years 3 days ago
Structured Training for Neural Network Transition-Based Parsing
We present structured perceptron training for neural network transition-based dependency parsing. We learn the neural network representation using a gold corpus augmented by a lar...
David Weiss, Chris Alberti, Michael Collins, Slav ...
ACL
2015
10 years 3 days ago
TR9856: A Multi-word Term Relatedness Benchmark
Measuring word relatedness is an important ingredient of many NLP applications. Several datasets have been developed in order to evaluate such measures. The main drawback of exist...
Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, ...
ACL
2015
10 years 3 days ago
Text to 3D Scene Generation with Rich Lexical Grounding
The ability to map descriptions of scenes to 3D geometric representations has many applications in areas such as art, education, and robotics. However, prior work on the text to 3...
Angel X. Chang, Will Monroe, Manolis Savva, Christ...
ACL
2015
10 years 3 days ago
Feature Optimization for Constituent Parsing via Neural Networks
The performance of discriminative constituent parsing relies crucially on feature engineering, and effective features usually have to be carefully selected through a painful manua...
Zhiguo Wang, Haitao Mi, Nianwen Xue
ACL
2015
10 years 3 days ago
Learning Dynamic Feature Selection for Fast Sequential Prediction
We present paired learning and inference algorithms for significantly reducing computation and increasing speed of the vector dot products in the classifiers that are at the hea...
Emma Strubell, Luke Vilnis, Kate Silverstein, Andr...