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: Natural Language Processing and Chinese Computing; 10th CCF Internation Lu Wang,Yansong Feng,Ruifang He Conference proceedings 2021 Springe

[復(fù)制鏈接]
查看: 45151|回復(fù): 47
樓主
發(fā)表于 2025-3-21 16:28:57 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Natural Language Processing and Chinese Computing
副標(biāo)題10th CCF Internation
編輯Lu Wang,Yansong Feng,Ruifang He
視頻videohttp://file.papertrans.cn/662/661803/661803.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Natural Language Processing and Chinese Computing; 10th CCF Internation Lu Wang,Yansong Feng,Ruifang He Conference proceedings 2021 Springe
描述This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021..The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability..
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computational linguistics; data mining; databases; Human-Computer Interaction (
版次1
doihttps://doi.org/10.1007/978-3-030-88483-3
isbn_softcover978-3-030-88482-6
isbn_ebook978-3-030-88483-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)




書目名稱Natural Language Processing and Chinese Computing影響因子(影響力)學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開度




書目名稱Natural Language Processing and Chinese Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing被引頻次




書目名稱Natural Language Processing and Chinese Computing被引頻次學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing年度引用




書目名稱Natural Language Processing and Chinese Computing年度引用學(xué)科排名




書目名稱Natural Language Processing and Chinese Computing讀者反饋




書目名稱Natural Language Processing and Chinese Computing讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

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 23:25:29 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:46:53 | 只看該作者
地板
發(fā)表于 2025-3-22 07:57:23 | 只看該作者
5#
發(fā)表于 2025-3-22 12:07:55 | 只看該作者
Event Argument Extraction via a Distance-Sensitive Graph Convolutional Network works using dependency trees to capture long-range dependencies between event triggers and event arguments. However, not all information in the dependency trees are useful for the EAE task. In this paper, we propose a Distance-Sensitive Graph Convolutional Network (DSGCN) for the EAE task. Our mode
6#
發(fā)表于 2025-3-22 15:34:20 | 只看該作者
Exploit Vague Relation: An Augmented Temporal Relation Corpus and Evaluationion of instances, and ambiguity of the vague instances. To address the above issues, this paper proposes a novel data augmentation method on the TimeBank-Dense (TBD) corpus to distinguish those vague instances, which can provide more evidence to identify temporal relation clearly. Specifically, we a
7#
發(fā)表于 2025-3-22 17:24:27 | 只看該作者
Searching Effective Transformer for Seq2Seq Keyphrase Generational Language Processing (NLP). Recently, the Transformer structure with fully-connected self-attention blocks has been widely used in many NLP tasks due to its advantage of parallelism and global context modeling. However, in KG tasks, Transformer-based models can hardly beat the recurrent-based mode
8#
發(fā)表于 2025-3-22 23:46:17 | 只看該作者
9#
發(fā)表于 2025-3-23 03:08:43 | 只看該作者
10#
發(fā)表于 2025-3-23 08:13:09 | 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, 2025-10-6 19:57
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
屯昌县| 兴和县| 天全县| 阿拉善盟| 辽源市| 博客| 徐汇区| 江口县| 多伦县| 桦甸市| 永新县| 得荣县| 安宁市| 峨眉山市| 安西县| 六盘水市| 黄陵县| 简阳市| 霍林郭勒市| 云霄县| 虹口区| 犍为县| 咸宁市| 奉贤区| 甘肃省| 雷州市| 广宗县| 临湘市| 尚义县| 永丰县| 永福县| 屯昌县| 聂荣县| 浦东新区| 蒙城县| 林甸县| 河南省| 贺兰县| 明星| 大城县| 东丰县|