426 research outputs found
Incremental Interpretation: Applications, Theory, and Relationship to Dynamic Semantics
Why should computers interpret language incrementally? In recent years
psycholinguistic evidence for incremental interpretation has become more and
more compelling, suggesting that humans perform semantic interpretation before
constituent boundaries, possibly word by word. However, possible computational
applications have received less attention. In this paper we consider various
potential applications, in particular graphical interaction and dialogue. We
then review the theoretical and computational tools available for mapping from
fragments of sentences to fully scoped semantic representations. Finally, we
tease apart the relationship between dynamic semantics and incremental
interpretation.Comment: Procs. of COLING 94, LaTeX (2.09 preferred), 8 page
GEMINI: A Natural Language System for Spoken-Language Understanding
Gemini is a natural language understanding system developed for spoken
language applications. The paper describes the architecture of Gemini, paying
particular attention to resolving the tension between robustness and
overgeneration. Gemini features a broad-coverage unification-based grammar of
English, fully interleaved syntactic and semantic processing in an all-paths,
bottom-up parser, and an utterance-level parser to find interpretations of
sentences that might not be analyzable as complete sentences. Gemini also
includes novel components for recognizing and correcting grammatical
disfluencies, and for doing parse preferences. This paper presents a
component-by-component view of Gemini, providing detailed relevant measurements
of size, efficiency, and performance.Comment: 8 pages, postscrip
Semantic construction in feature-based TAG
We propose a semantic construction method for Feature-Based Tree Adjoining Grammar which is based on the derived tree, compare it with related proposals and briefly discuss some implementation possibilities
Linear Logic for Meaning Assembly
Semantic theories of natural language associate meanings with utterances by
providing meanings for lexical items and rules for determining the meaning of
larger units given the meanings of their parts. Meanings are often assumed to
combine via function application, which works well when constituent structure
trees are used to guide semantic composition. However, we believe that the
functional structure of Lexical-Functional Grammar is best used to provide the
syntactic information necessary for constraining derivations of meaning in a
cross-linguistically uniform format. It has been difficult, however, to
reconcile this approach with the combination of meanings by function
application. In contrast to compositional approaches, we present a deductive
approach to assembling meanings, based on reasoning with constraints, which
meshes well with the unordered nature of information in the functional
structure. Our use of linear logic as a `glue' for assembling meanings allows
for a coherent treatment of the LFG requirements of completeness and coherence
as well as of modification and quantification.Comment: 19 pages, uses lingmacros.sty, fullname.sty, tree-dvips.sty,
latexsym.sty, requires the new version of Late
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