WordNet Research 2 -- Introduction
Structure
The main relation among words in WordNet is synonymy, as between the words shut and close or car and automobile. synonyms -- words that denote the same concept and are interchangeable in your contexts -- are grouped into unordered sets (synsets ). each of WordNet's 117 000 synsets is linked to other synsets by means of a small number of "Conceptual relations. "Additionally, a synset contains a brief definition (" gloss ") and, in most cases, one or more short sentences between strating the use of the synset members. word Forms with several distinct meanings are represented in as your distinct synsets. thus, each form-meaning pair in WordNet is unique.
From: http://wordnet.princeton.edu/wordnet/
The relationship between WordNet words is mainly a synonym, for example, 'shout' and 'close', 'car' and 'automobile '. Synonyms refer to words that can be exchanged in many contexts with the same concept. Synonym set: A Word set formed by organizing synonyms into an unordered set. A synonym set is called synsets. WordNet has 117 synonym sets, and each synonym set is connected by a few 'conceptual relations. However, a synonym set contains a brief explanation (GLOSS), one or more short sentences. When a word contains many different meanings, it appears in different synonym sets. Therefore, each "form-meaning" is unique in WordNet.
Relation
The relationship between upper and lower levels. The relationship between WordNet synonym sets is mainly the relationship between upper and lower levels (super-subordinate, also known as hyperonymy, hyponymy or ISA ). That is, the parent class subclass relationship. The connection relationships are almost like {furniture, piece_of_furniture}, for example, {bed} and {bunkbed}, that is, {bunkbed} is a {bed }. The superparent class of all nouns is {entry} (I .e., entity ). This kind of superior-subordinate relationship is passed. For example, if armchair is a kind of chair and chair is a kind of furniture, armchair is a kind of furniture. Wordne also t distinguishes nouns in the form of classes and instances. For example, Barack Obama is an instance of president. An instance belongs to a leaf node in this hierarchy.
The overall relationship. This relationship indicates that one word set is the whole, and the other word set is the part of the word set in terms of meaning, such as {chair} and {back, backrest }, obviously (furniture) backrest is part of the chair, and {seat} and {leg}, then the leg foot is part of the stool seat. 'Part' can be inherited. For example, if chair has leg, armchair also has leg, and armchair inherits chair, so it also has leg. However, some cannot be inherited. For example, Chair owns leg, but furniture does not necessarily have leg.
The verb synsets are also arranged into the relationship between upper and lower levels. The verb sets feature an event using the ever-increasing differentiation rule tree from the root node. For example, {communicate}-{talk}-{whisper }. Differentiation rules are based on semantic domains and are determined only by the specific meaning of a verb in a semantic sense. "measurement" is a basic measurement for defining a verb (such as in the communicate example ), others include "Speed" (such as move-jog-run) and "intensity" (such as like-love-idolize ). When a verb describes an event, it is necessary to connect a single item with another verb, for example, {buy}-{Pay}, {succeed}-{try }, {show}-{see} and so on.
An antonym group. An adjective word set is formed by an antonym pair. For example, wet-dry and Young-old reflect the semantic association between members through antonyms. Any two adjectives are connected by this exclusive key, and a word is connected with synonyms of multiple antonyms. For example, dry will be connected to parched, arid, and dessicated at the same time, while bone-dry will be connected to wet, soggy, waterlogged, and so on. The link between adjectives and nouns indicates which nouns the adjectives come from. There are few Adverbs in WordNet, and many adverbs come from adjectives, but only form and form changes.
Cross-pos relations
In fact, WordNet is composed of four subnets: nouns, verbs, adjectives, and adverbs. It is connected to the entire network through some cross-pos (part of speech) pointer lines. Cross-pos shares words of the same meaning with the same root to indicate their semantic similarity. For example, observe (verb), observant (adjective) observation, and Observatory (nouns) J will use the same path. The semantic roles in many verb pairs are clear, such as {sleeper, sleeping_car} is the location for {sleep}; {painter} is the agent of {paint }, while {painting, picture} is its result.
Bibliography available for reference
Keith et al. (eds.), Encyclopedia of language and linguistics, Second Edition.
The Book of language and linguistics compiled by Keith.
WordNet Project Overview
The project began in the Princeton University Department of Psychology, and is currently housed in the Department of Computer Science.
Currently, WordNet is sponsored by the National Science Foundation of the United States and the TIM Gill fund and maintained by the computer College of Princeton University.
The WordNet team members des the following members
- Christiane fellbaum
- Randee tengi
- Lavanya Jose
- Peter schulam
- Isaac Julien
- George A. Miller (Emeritus