找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Conceptual Structures: From Information to Intelligence; 18th International C Madalina Croitoru,Sébastien Ferré,Dickson Lukose Conference p

[復制鏈接]
樓主: radionuclides
31#
發(fā)表于 2025-3-26 22:47:51 | 只看該作者
Therese Keane,Cathy Lewin,Rosa Bottinostantiated according to the initial keywords. Finally, the user can modify the pre-written query he/she selects in order to fit his/her initial needs as well as possible. The query graph obtained is projected into the annotation graphs associated with the documents. The documents which answer the query are returned to the user.
32#
發(fā)表于 2025-3-27 03:46:46 | 只看該作者
33#
發(fā)表于 2025-3-27 05:37:47 | 只看該作者
34#
發(fā)表于 2025-3-27 12:50:33 | 只看該作者
35#
發(fā)表于 2025-3-27 16:17:28 | 只看該作者
36#
發(fā)表于 2025-3-27 19:38:48 | 只看該作者
https://doi.org/10.1007/978-3-030-48442-2zation level (anti-unification of logic forms). Generalization diagrams are intended to be more accurate semantic representation than conventional conceptual graphs for individual sentences because only syntactic commonalities are represented at semantic level.
37#
發(fā)表于 2025-3-27 23:08:48 | 只看該作者
Use of Domain Knowledge in the Automatic Extraction of Structured Representations from Patient-Relate is encoded not only in the conceptual structures, which provide the ontological framework for the IE task, but also in the IE templates that are designed to capture domain semantics. A prototype system and IE examples of domain knowledge usage are considered together with results of the current prototype evaluation.
38#
發(fā)表于 2025-3-28 04:35:00 | 只看該作者
39#
發(fā)表于 2025-3-28 10:00:50 | 只看該作者
An Easy Way of Expressing Conceptual Graph Queries from Keywords and Query Patternsstantiated according to the initial keywords. Finally, the user can modify the pre-written query he/she selects in order to fit his/her initial needs as well as possible. The query graph obtained is projected into the annotation graphs associated with the documents. The documents which answer the query are returned to the user.
40#
發(fā)表于 2025-3-28 12:51:37 | 只看該作者
Natural Intelligence – Commonsense Question Answering with Conceptual Graphsring, by using the state of the art tools such as C&C tools, Cogitant and Open Cyc. C&C tools are used for parsing natural language, Cogitant is used for Conceptual Graph operations, and Open Cyc is used for upper ontology and commonsense handling.
 關于派博傳思  派博傳思旗下網站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網 吾愛論文網 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網安備110108008328) GMT+8, 2025-10-14 00:13
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
信阳市| 清水河县| 六安市| 正宁县| 泽普县| 平利县| 广河县| 修水县| 巩留县| 五台县| 宁都县| 抚州市| 巴中市| 铜川市| 马关县| 民勤县| 织金县| 张家界市| 宜春市| 光泽县| 沭阳县| 三门县| 松阳县| 且末县| 沂水县| 正阳县| 玉环县| 克东县| 临江市| 喀喇| 麟游县| 辽阳市| 务川| 华坪县| 葫芦岛市| 海原县| 友谊县| 光山县| 扎囊县| 靖江市| 裕民县|