Global Context

Evans and Gazdar (Evans and Gazdar, 1989a; Evans and Gazdar, 1989b) intro- duced DATR as a simple, non-monotonic language for representing natural language lexicons. Although a number of implemen- tations …...

Computational approaches to metonymy res- olution have focused almost exclusively on the local context, especially the constraints placed on a potentially metonymic word by its grammatical collocates. We expand such …...

We introduce an extension to the bag-of- words model for learning words represen- tations that take into account both syn- tactic and semantic properties within lan- guage. This is done …...

AbstractWhen reading a text, it is common to become stuck on unfamiliar words and phrases, such as polysemous words with novel senses, rarely used idioms, internet slang, or emerging entities. …...

AbstractEnd-to-end relation extraction aims to identify named entities and extract relations between them. Most recent work models these two subtasks jointly, either by casting them in one structured prediction framework, …...

AbstractIrrespective of the success of the deep learning-based mixed-domain transfer learning approach for solving various Natural Language Processing tasks, it does not lend a generalizable solution for detecting misinformation from …...