Weakly Supervised Training

We consider the problem of using a bilingual dictionary to transfer lexico-syntactic infor- mation from a resource-rich source language to a resource-poor target language. In con- trast to past work …...

AbstractThis article describes a neural semantic parser that maps natural language utterances onto logical forms that can be executed against a task-specific environment, such as a knowledge base or a …...

AbstractSemantic parsing over multiple knowledge bases enables a parser to exploit structural similarities of programs across the multiple domains. However, the fundamental challenge lies in obtaining high-quality annotations of (utterance, …...

AbstractThe absence of labeled data for training neural models is often addressed by leveraging knowledge about the specific task, resulting in heuristic but noisy labels. The knowledge is captured in …...