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: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D; 17th China National Maosong Sun,Ting

[復(fù)制鏈接]
查看: 14202|回復(fù): 56
樓主
發(fā)表于 2025-3-21 18:14:25 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D
副標(biāo)題17th China National
編輯Maosong Sun,Ting Liu,Yang Liu
視頻videohttp://file.papertrans.cn/226/225767/225767.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D; 17th China National  Maosong Sun,Ting
描述.This book constitutes the proceedings of the 17th China National Conference on Computational Linguistics, CCL 2018, and the 6th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2018, held in Changsha, China, in October 2018...The 33 full papers presented in this volume were carefully reviewed and selected from 84 submissions. They are organized in topical sections named: Semantics; machine translation; knowledge graph and information extraction; linguistic resource annotation and evaluation; information retrieval and question answering; text classification and summarization; social computing and sentiment analysis; and NLP applications..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; classification; information extraction; language resources; machine translation
版次1
doihttps://doi.org/10.1007/978-3-030-01716-3
isbn_softcover978-3-030-01715-6
isbn_ebook978-3-030-01716-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D影響因子(影響力)




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D影響因子(影響力)學(xué)科排名




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D網(wǎng)絡(luò)公開度




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D被引頻次




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D被引頻次學(xué)科排名




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D年度引用




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D年度引用學(xué)科排名




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D讀者反饋




書目名稱Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big D讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:53:24 | 只看該作者
https://doi.org/10.1007/978-3-030-01716-3artificial intelligence; classification; information extraction; language resources; machine translation
板凳
發(fā)表于 2025-3-22 01:06:20 | 只看該作者
地板
發(fā)表于 2025-3-22 05:39:20 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/225767.jpg
5#
發(fā)表于 2025-3-22 12:06:39 | 只看該作者
Reaction Patterns of the Lymph Nodeer as the minimum processing unit of the text, without using the semantic information about Chinese characters and the radicals in Chinese words. To this end, we proposed a radical enhanced Chinese word embedding in this paper. The model uses conversion and radical escaping mechanisms to extract the
6#
發(fā)表于 2025-3-22 13:20:22 | 只看該作者
H.-H. Wacker,H. J. Radzun,M. R. Parwaresche content of a sentence and the syntactic structures constitute the framework of a sentence. How to combine both aspects and exploit their common advantages is a challenging issue. In this paper, we propose a Principal Stylistic Features Analysis method (PSFA) to combine these two parts, and then mi
7#
發(fā)表于 2025-3-22 20:06:48 | 只看該作者
8#
發(fā)表于 2025-3-23 00:31:28 | 只看該作者
Antonio Laganà,Antonio Riganellineral the length proportionality assumption that the lengths of sentences in one language tend to be proportional to that of their translations, and are known to bear poor adaptivity to new languages and corpora. In this paper, we attempt to interpret this assumption from a new perspective via the n
9#
發(fā)表于 2025-3-23 05:10:02 | 只看該作者
10#
發(fā)表于 2025-3-23 05:35:31 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 14:09
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
彭阳县| 福贡县| 镇江市| 伊宁市| 彭阳县| 洪泽县| 延长县| 山东省| 新竹市| 东乡县| 礼泉县| 惠安县| 定日县| 和林格尔县| 新田县| 通许县| 水富县| 宁晋县| 江都市| 通化市| 台州市| 大荔县| 叶城县| 鄂伦春自治旗| 基隆市| 高雄县| 吴忠市| 朝阳区| 确山县| 天门市| 临澧县| 永康市| 巴马| 涞水县| 阿巴嘎旗| 如东县| 灌南县| 西宁市| 余庆县| 祁东县| 鞍山市|