Minimal Recursion Semantics

method ID: minimalrecursionsemantics

Related Papers

Bridging the Gap Between Underspecification Formalisms: Minimal Recursion Semantics as Dominance Constraints

Authors: nan

Publication: TIPSTER (2003)

DOI: nan

Minimal Recursion Semantics (MRS) is the standard formalism used in large-scale HPSG grammars to model underspecified semantics. We present the first provably efficient algorithm to enumerate the read- ings of …...

36868

Acquiring an Ontology for a Fundamental Vocabulary

Authors: nan

Publication: TIPSTER (2004)

DOI: nan

In this paper we describe the extraction of thesaurus information from parsed dictio- nary definition sentences. The main data for our experiments comes from Lexeed, a Japanese semantic dictionary, and …...

5682

The Spanish Resource Grammar

Authors: nan

Publication: TIPSTER (2010)

DOI: nan

AbstractThis paper describes the Spanish Resource Grammar, an open-source multi-purpose broad-coverage precise grammar for Spanish. The grammar is implemented on the Linguistic Knowledge Builder (LKB) system, it is grounded in …...

7923

Improvement of a Naive Bayes Sentiment Classifier Using MRS-Based Features

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This study explores the potential of us- ing deep semantic features to improve bi- nary sentiment classification of paragraph- length movie reviews from the IMBD website. Using a Naive Bayes …...

26178

Robust Incremental Neural Semantic Graph Parsing

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractParsing sentences to linguistically-expressive semantic representations is a key goal of Natural Language Processing. Yet statistical parsing has focussed almost exclusively on bilexical dependencies or domain-specific logical forms. We propose …...

40006

Neural Text Generation from Rich Semantic Representations

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractWe propose neural models to generate high-quality text from structured representations based on Minimal Recursion Semantics (MRS). MRS is a rich semantic representation that encodes more precise semantic detail than …...

22050

HPSG/MRS-Based Natural Language Generation Using Transformer

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

With the massive success of stochastic lan- guage models, some claim that the symbolic approach is not necessary for natural language processing. However, recent studies made use of linguistically motivated …...

29377