On GB Parsing and Semantic Interpretation
نویسنده
چکیده
The paper shows how sentences containing scope ambiguities can be assigned syntactic and semantic structures by means of sloppy deterministic processing techniques only. The semantic framework is Discourse Representation Theory, and the sloppy deterministic parser is described in Nordgård (1993). Of primary concern for the article is the transition from syntactic structures to discourse representation structures (DRSs).
منابع مشابه
برچسب‌زنی خودکار نقش‌های معنایی در جملات فارسی به کمک درخت‌های وابستگی
Automatic identification of words with semantic roles (such as Agent, Patient, Source, etc.) in sentences and attaching correct semantic roles to them, may lead to improvement in many natural language processing tasks including information extraction, question answering, text summarization and machine translation. Semantic role labeling systems usually take advantage of syntactic parsing and th...
متن کاملComputation and Linguistic Theory: A Government Binding Theory Parser Using Tree Adjoining Grammar (Master's Thesis)
Government Binding (GB) theory, as a competence theory of grammar, is intended to define what a speaker's knowledge of language consists of. The theory proposes a system of innate principles and constraints which determine the class of possible languages and, once instantiated by the parameter values for a given language, the class of well-formed sentences of that language [Chomsky, 1981]. In t...
متن کاملDependency-Based Semantic Interpretation for Answer Extraction
This paper focuses on the use of two algorithms for the integration of two broad-coverage dependency-based parsing systems into ExtrAns, an answer extraction system that operates over Unix manual pages. In the process, ExtrAns uses a semantic interpreter that converts the output of the parser into flat logical forms. The semantic interpreter for the first parsing system, Link Grammar, uses a to...
متن کاملCorpus-Based Approaches to Semantic Interpretation in NLP
into empirical, corpus-based learning approaches to natural language processing (NLP). Most empirical NLP work to date has focused on relatively low-level language processing such as part-ofspeech tagging, text segmentation, and syntactic parsing. The success of these approaches has stimulated research in using empirical learning techniques in other facets of NLP, including semantic analysis—un...
متن کاملبرچسبزنی نقش معنایی جملات فارسی با رویکرد یادگیری مبتنی بر حافظه
Abstract Extracting semantic roles is one of the major steps in representing text meaning. It refers to finding the semantic relations between a predicate and syntactic constituents in a sentence. In this paper we present a semantic role labeling system for Persian, using memory-based learning model and standard features. Our proposed system implements a two-phase architecture to first identify...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1993