2 citations · 2 across the 1 of their papers we have counts for
6 papers
Semi-Supervised and Unsupervised Sense Annotation via Translations
Bradley Hauer, Grzegorz Kondrak, Yixing Luan +2
Acquisition of multilingual training data continues to be a challenge in word sense disambiguation (WSD). To address this problem, unsupervised approaches have been proposed to aut…
Synonymy = Translational Equivalence
Bradley Hauer, Grzegorz Kondrak
Synonymy and translational equivalence are the relations of sameness of meaning within and across languages. As the principal relations in wordnets and multi-wordnets, they are vit…
One Homonym per Translation
Bradley Hauer, Grzegorz Kondrak
The study of homonymy is vital to resolving fundamental problems in lexical semantics. In this paper, we propose four hypotheses that characterize the unique behavior of homonyms i…
Efficient Sequence Labeling with Actor-Critic Training
Saeed Najafi, Colin Cherry, Grzegorz Kondrak
Neural approaches to sequence labeling often use a Conditional Random Field (CRF) to model their output dependencies, while Recurrent Neural Networks (RNN) are used for the same pu…
String Transduction with Target Language Models and Insertion Handling
Garrett Nicolai, Saeed Najafi, Grzegorz Kondrak
Many character-level tasks can be framed as sequence-to-sequence transduction, where the target is a word from a natural language. We show that leveraging target language models de…
You Shall Know the Most Frequent Sense by the Company it Keeps
Bradley Hauer, Yixing Luan, Grzegorz Kondrak
Identification of the most frequent sense of a polysemous word is an important semantic task. We introduce two concepts that can benefit MFS detection: companions, which are the mo…