找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Artificial Intelligence and Natural Language; 9th Conference, AINL Andrey Filchenkov,Janne Kauttonen,Lidia Pivovarova Conference proceeding

[復(fù)制鏈接]
查看: 48600|回復(fù): 54
樓主
發(fā)表于 2025-3-21 16:22:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Artificial Intelligence and Natural Language
期刊簡(jiǎn)稱(chēng)9th Conference, AINL
影響因子2023Andrey Filchenkov,Janne Kauttonen,Lidia Pivovarova
視頻videohttp://file.papertrans.cn/163/162259/162259.mp4
學(xué)科分類(lèi)Communications in Computer and Information Science
圖書(shū)封面Titlebook: Artificial Intelligence and Natural Language; 9th Conference, AINL Andrey Filchenkov,Janne Kauttonen,Lidia Pivovarova Conference proceeding
影響因子?This book constitutes the refereed proceedings of the 9th?Conference on Artificial Intelligence and Natural Language, AINL 2020, held in Helsinki, Finland, in October 2020.?.The 11 revised full papers and 3 short papers were carefully reviewed and selected from 36 submissions. Additionally, the volume presents 1 shared task paper. The volume presents recent research in areas of?of text mining, speech technologies, dialogue systems, information retrieval, machine learning, articial intelligence, and robotics.?.
Pindex Conference proceedings 2020
The information of publication is updating

書(shū)目名稱(chēng)Artificial Intelligence and Natural Language影響因子(影響力)




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language被引頻次




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language被引頻次學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language年度引用




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language年度引用學(xué)科排名




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language讀者反饋




書(shū)目名稱(chēng)Artificial Intelligence and Natural Language讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-22 00:02:21 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:58:03 | 只看該作者
地板
發(fā)表于 2025-3-22 06:40:51 | 只看該作者
Artificial Intelligence and Natural Language978-3-030-59082-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
5#
發(fā)表于 2025-3-22 11:25:00 | 只看該作者
Proze?phasen von lernenden FuE-KooperationenThe task for participants was to train a general-purpose MT system which performs reasonably well on very diverse text domains and styles without additional fine-tuning. 11 teams participated in the competition, some of the submitted models showed reasonably good performance topping at ..
6#
發(fā)表于 2025-3-22 14:15:08 | 只看該作者
7#
發(fā)表于 2025-3-22 18:32:59 | 只看該作者
Encyclopedia of Heroism Studiesand political issues. The lexicon was generated from a database of posts and comments of the top 2,000 LiveJournal bloggers posted during one year (.1.5 million posts and 20 million comments). Following a topic modeling approach, we extracted 85,898 documents that were used to retrieve domain-specif
8#
發(fā)表于 2025-3-23 01:15:48 | 只看該作者
Encyclopedia of Heroism Studiesposts. Modern algorithms for hidden community detection are based on graph theory, these procedures leaving out of account the linguistic features of analyzed texts. The authors have developed a new hybrid approach to the detection of hidden communities, combining author-topic modeling and automatic
9#
發(fā)表于 2025-3-23 03:59:44 | 只看該作者
10#
發(fā)表于 2025-3-23 07:18:21 | 只看該作者
Implikationen der Untersuchung,s, question answering, named entity recognition. Headline generation is a special kind of text summarization task. Models need to have strong natural language understanding that goes beyond the meaning of individual words and sentences and an ability to distinguish essential information to succeed i
 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(ài)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(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 07:19
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
全南县| 潮州市| 筠连县| 蓬安县| 灵璧县| 日喀则市| 讷河市| 普陀区| 启东市| 平原县| 临洮县| 永定县| 运城市| 昂仁县| 视频| 额敏县| 会泽县| 新建县| 类乌齐县| 磴口县| 土默特左旗| 民勤县| 云浮市| 达州市| 昆明市| 鹿泉市| 吴川市| 甘肃省| 休宁县| 阳新县| 濮阳县| 常宁市| 苍溪县| 田阳县| 平昌县| 阳东县| 武穴市| 濮阳市| 巴林右旗| 慈溪市| 长乐市|