| { |
| "paper_id": "J75-4012", |
| "header": { |
| "generated_with": "S2ORC 1.0.0", |
| "date_generated": "2023-01-19T02:41:03.653861Z" |
| }, |
| "title": "", |
| "authors": [], |
| "year": "", |
| "venue": null, |
| "identifiers": {}, |
| "abstract": "In OWL, an implementation o f conceptual grammar, t h e two types o f data items are symbols and concepts and t h e two b a s i c data composition operations are specialization and restriction. A symbol is an alphanumeric s t r i n g headed by \". Symbols correspond to words, suffixes, p r e f i x e s , and word stens in Znglish and the programer can introduce them a t willm OWL concepts correspond t o t h e meanings of EEglish words and phrases. They are constructed using t h e specialization operation, comparable t o CONS i n LISP* (A B) is t h e specialization of A , a concept, by B, a concept o r symbol. OWL f o r m a branching tree under specialization, with SOMETHING a t the t o p. Concepts are given properties by restriction, which puts a concept on the reference list of another concept (compare property lists and S-expressions in LISP).", |
| "pdf_parse": { |
| "paper_id": "J75-4012", |
| "_pdf_hash": "", |
| "abstract": [ |
| { |
| "text": "In OWL, an implementation o f conceptual grammar, t h e two types o f data items are symbols and concepts and t h e two b a s i c data composition operations are specialization and restriction. A symbol is an alphanumeric s t r i n g headed by \". Symbols correspond to words, suffixes, p r e f i x e s , and word stens in Znglish and the programer can introduce them a t willm OWL concepts correspond t o t h e meanings of EEglish words and phrases. They are constructed using t h e specialization operation, comparable t o CONS i n LISP* (A B) is t h e specialization of A , a concept, by B, a concept o r symbol. OWL f o r m a branching tree under specialization, with SOMETHING a t the t o p. Concepts are given properties by restriction, which puts a concept on the reference list of another concept (compare property lists and S-expressions in LISP).", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "Abstract", |
| "sec_num": null |
| } |
| ], |
| "body_text": [ |
| { |
| "text": "The categories in the specialization tree are semantic, but we use them also f o r the purposes usually assigned to syntactic dategories.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "by B.", |
| "sec_num": null |
| }, |
| { |
| "text": "A predication is a double specification of 2 model such as present tense or can. Starting from t h i s base we will discuss a number of issues buch as n~minalization incorporation, and deep vs surface cases.", |
| "cite_spans": [], |
| "ref_spans": [], |
| "eq_spans": [], |
| "section": "by B.", |
| "sec_num": null |
| } |
| ], |
| "back_matter": [], |
| "bib_entries": {}, |
| "ref_entries": { |
| "FIGREF0": { |
| "type_str": "figure", |
| "num": null, |
| "uris": null, |
| "text": "Examples are The pool is full of water. ((PRES-TNS (BE (FULL 94TER)) J POOL/THE) The cookie can be in t h e j a f . ((CAN (BE (IN JAR/TIIE))) COOKIE/THE) aob is the f a t h e r o f Sam. ( (PRES -TKS (BE (FATHE: SAM) ITHE) ) BOB) 3ob hits the b a l l . ((PRES-TNS (HIT BALLITHE)) Boa) Bob is hitting the b a l l . ((PRES-TNS (BE (-ING (HIT BALL/THE))))BOB)" |
| } |
| } |
| } |
| } |
