Семантические Парсеры

Semantic role labeling is the process of annotating the predicate-argument struc- ture in text with semantic labels. In this paper we present a state-of-the-art base- line semantic role labeling system …...

Conversations provide rich opportunities for interactive, continuous learning. When some- thing goes wrong, a system can ask for clari- fication, rewording, or otherwise redirect the interaction to achieve its goals. …...

A core problem in learning semantic parsers from denotations is picking out consistent logical forms—those that yield the correct denotation—from a combina- torially large space. To control the search space, …...

AbstractIn this paper, we investigate the annotation projection of semantic units in a practical setting. Previous approaches have focused on using parallel corpora for semantic transfer. We evaluate an alternative …...

AbstractWe describe a span-level supervised attention loss that improves compositional generalization in semantic parsers. Our approach builds on existing losses that encourage attention maps in neural sequence-to-sequence models to imitate …...

AbstractSemantic parsers map natural language utterances into meaning representations (e.g., programs). Such models are typically bottlenecked by the paucity of training data due to the required laborious annotation efforts. Recent …...

AbstractThe task of generating a database query from a question in natural language suffers from ambiguity and insufficiently precise description of the goal. The problem is amplified when the system …...

AbstractIn this paper, we are interested in developing semantic parsers which understand natural language questions embedded in a conversation with a user and ground them to formal queries over definitions …...