Meaning Representation for Automatic Extraction of Lexical Functions
نویسنده
چکیده
Resumen. Lexical functions formalize semantic and syntactic relations between lexical units, given that meaning of an individual word largely depends on various relations connecting it to other words in context. Collocational relation is a type of institutionalized lexical relations that holds between the base and its partner in a collocation in contrast to free word combination where both words are used in their typical meaning. Collocation are important for natural language processing because collocation comprises the restrictions on how words can be used together. The formalism of lexical functions is a means of representing such information. If collocations are annotated with lexical functions in a computer readable dictionary, it allows effective use of collocations in natural language applications including parsers, high quality machine translation, periphrasis systems and computer-aided learning of lexica. In order to create such applications, we need to extract lexical functions from corpora automatically. For this, we represent the lexical meaning of a given word with a set of all its hypernyms extracted from the Spanish WordNet.
منابع مشابه
Natural Language as the Basis for Meaning Representation and Inference
Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on logical representations for meaning, which may be viewed as being “external” to the natural language itself. However, practical applications usually adopt shallower lexical or lexical-syntactic representations, which correspond closely to language ...
متن کاملDeep Semantics in an NLP Knowledge Base
In most natural language processing systems there is no representation of the semantic knowledge of lexical units, but just subcategorization frames, selection restrictions and links to other paradigmatically-related lexical units. Some NLP systems, e.g. machine translation or dialogue-based systems, attempt to “understand” the input text by translating it into some kind of formal language-inde...
متن کاملEnriching a lexicographic tool with domain definitions: Problems and solutions
Enriching linguistic resources with domain information has been considered one important target in natural language applications. However, automatic definition extraction of this domain information from specialized resources has revealed certain methodological problems in definition construction. This paper presents some problems encountered in automatic definition extraction that are mainly re...
متن کاملKnowledge-Based Textual Inference via Parse-Tree Transformations
Textual inference is an important component in many applications for understanding natural language. Classical approaches to textual inference rely on logical representations for meaning, which may be regarded as “external” to the natural language itself. However, practical applications usually adopt shallower lexical or lexical-syntactic representations, which correspond closely to language st...
متن کاملSemantic Feature Structure Extraction from Documents Based on Extended Lexical Chains
The meaning of a sentence in a document is more easily determined if its constituent words exhibit cohesion with respect to their individual semantics. This paper explores the degree of cohesion among a document's words using lexical chains as a semantic representation of its meaning. Using a combination of diverse types of lexical chains, we develop a text document representation that can be u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Research in Computing Science
دوره 47 شماره
صفحات -
تاریخ انتشار 2012