Meaning Representation

This paper presents extensions to the work of Bobrow and Webber [Bobrow&Webber 80a, Bobrow&Webber 80b] on semantic interpretation using KL-ONE to represent knowledge. The approach is based on an extended …...

AbstractThis paper presents a geometric approach to meaning representation within the framework of continuous mathematics. Meaning representation is a central issue in Natural Language Processing, in particular for tasks like …...

We present a formal account of the mean- ing of vague scalar adjectives such as ‘tall’ formulated in Type Theory with Records. Our approach makes precise how percep- tual information …...

AbstractWe propose a new method for semantic parsing of ambiguous and ungrammatical input, such as search queries. We do so by building on an existing semantic parsing framework that uses …...

Domain-independent meaning representa- tion of text has received a renewed in- terest in the NLP community. Compar- ison plays a crucial role in shaping ob- jective and subjective opinion and …...

Meaning Representation (AMR) is a rooted, labeled, acyclic graph representing the semantics of natural language. As previous works show, although AMR is designed for En- glish at first, it can …...

AbstractOur study focuses on language generation by considering various information representing the meaning of utterances as multiple conditions of generation. Generating an utterance from a Meaning representation (MR) usually passes …...

AbstractPrevious research has shown that the design of Meaning Representation (MR) greatly influences the final model performance of a neural semantic parser. Therefore, designing a good MR is a long-term …...