Corpus Patterns for Semantic Processing
نویسندگان
چکیده
This tutorial presents a corpus-driven, pattern-based empirical approach to meaning representation and computation. Patterns in text are everywhere, but techniques for identifying and processing them are still rudimentary. Patterns are not merely syntactic but syntagmatic: each pattern identifies a lexico-semantic clause structure consisting of a predicator (verb or predicative adjective) together with open-ended lexical sets of collocates in different clause roles (subject, object, prepositional argument, etc.). If NLP is to make progress in identifying and processing text meaning, pattern recognition and collocational analysis will play an essential role, because:
منابع مشابه
Corpus based coreference resolution for Farsi text
"Coreference resolution" or "finding all expressions that refer to the same entity" in a text, is one of the important requirements in natural language processing. Two words are coreference when both refer to a single entity in the text or the real world. So the main task of coreference resolution systems is to identify terms that refer to a unique entity. A coreference resolution tool could be...
متن کاملSemantic processing survey of spoken and written words in adolescents with cerebral palsy: Evidence from PALPA word-picture matching test
Objective: The present study aimed to assess and compare semantic processing of spoken and written words in adolescents with cerebral palsy and healthy adolescents. Method: The present study is quantitative in terms of type and experimental in terms of method. Examination Group consisted 30 adolescents with cerebral palsy aged 10 to 15 years were selected by convenience sampling method. All of ...
متن کاملAutomatic Construction of Amharic Semantic Networks from Unstructured Text Using Amharic WordNet
Semantic networks have become key components in many natural language processing applications. This paper presents an automatic construction of Amharic semantic networks using Amharic WordNet as initial knowledge base where intervening word patterns between pairs of concepts in the WordNet are extracted for a specific relation from a given text. For each pair of concepts which we know the relat...
متن کاملSemEval-2015 Task 15: A CPA dictionary-entry-building task
This paper describes the first SemEval task to explore the use of Natural Language Processing systems for building dictionary entries, in the framework of Corpus Pattern Analysis. CPA is a corpus-driven technique which provides tools and resources to identify and represent unambiguously the main semantic patterns in which words are used. Task 15 draws on the Pattern Dictionary of English Verbs ...
متن کاملA Corpus-Driven Study of the Variation of Co-Occurrence Patterns in Written and Spoken Registers
This paper will focus on the study of the variation of co-occurrence patterns encountered in written and spoken registers, through the analysis of a large lexical database of corpus-extracted multiword expressions (MWEs) of European Portuguese. Those MWEs were automatically extracted from a balanced 50 million word written corpus and a 1 million word spoken corpus, furthermore statistically int...
متن کامل