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; 21st China National Maosong Sun,Yang Liu,Yubo Chen Conference proceedings 2022 The Editor(s) (if applic

[復(fù)制鏈接]
查看: 35270|回復(fù): 49
樓主
發(fā)表于 2025-3-21 18:39:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Chinese Computational Linguistics
副標(biāo)題21st China National
編輯Maosong Sun,Yang Liu,Yubo Chen
視頻videohttp://file.papertrans.cn/226/225762/225762.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Chinese Computational Linguistics; 21st China National  Maosong Sun,Yang Liu,Yubo Chen Conference proceedings 2022 The Editor(s) (if applic
描述This book constitutes the proceedings of the 21st China National Conference on Computational Linguistics, CCL 2022, held in Nanchang, China, in October 2022..The 22 full English-language papers in this volume were carefully reviewed and selected from?293 Chinese and English submissions..The conference papers are categorized into the following topical sub-headings:?Linguistics and Cognitive Science;?Fundamental Theory and Methods of Computational Linguistics;?Information Retrieval, Dialogue and Question Answering;?Text Generation and Summarization;?Knowledge Graph and Information Extraction;?Machine Translation and Multilingual Information Processing;?Minority Language Information Processing;?Language Resource and Evaluation;?NLP Applications..
出版日期Conference proceedings 2022
關(guān)鍵詞artificial intelligence; computational linguistics; computer systems; computer vision; data mining; image
版次1
doihttps://doi.org/10.1007/978-3-031-18315-7
isbn_softcover978-3-031-18314-0
isbn_ebook978-3-031-18315-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Chinese Computational Linguistics影響因子(影響力)




書目名稱Chinese Computational Linguistics影響因子(影響力)學(xué)科排名




書目名稱Chinese Computational Linguistics網(wǎng)絡(luò)公開度




書目名稱Chinese Computational Linguistics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Chinese Computational Linguistics被引頻次




書目名稱Chinese Computational Linguistics被引頻次學(xué)科排名




書目名稱Chinese Computational Linguistics年度引用




書目名稱Chinese Computational Linguistics年度引用學(xué)科排名




書目名稱Chinese Computational Linguistics讀者反饋




書目名稱Chinese Computational Linguistics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

 

1票 100.00%

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 23:24:54 | 只看該作者
Fundamental organization models,pairs. In the interaction layer, we initially fuse the information of the sentence pairs to obtain low-level semantic information; at the same time, we use the bi-directional attention in the machine reading comprehension model and self-attention to obtain the high-level semantic information. We use
板凳
發(fā)表于 2025-3-22 02:18:19 | 只看該作者
地板
發(fā)表于 2025-3-22 06:57:51 | 只看該作者
5#
發(fā)表于 2025-3-22 09:52:59 | 只看該作者
Markus F. Peschl,Thomas Fundneider emotion cause into the generation process. To this end, we present an emotion cause extractor using a semi-supervised training method and an empathetic conversation generator using a biased self-attention mechanism to overcome these two issues. Experimental results indicate that our proposed emotio
6#
發(fā)表于 2025-3-22 15:34:03 | 只看該作者
7#
發(fā)表于 2025-3-22 19:53:04 | 只看該作者
Quantitative vs. Weighted Automata and design three patient strategies. Thirdly we design a label-aware contrastive learning loss function. Extensive experimental results show that our TempACL effectively adapts contrastive learning to supervised learning tasks which remain a challenge in practice. TempACL achieves new state-of-the-
8#
發(fā)表于 2025-3-23 00:43:18 | 只看該作者
9#
發(fā)表于 2025-3-23 01:49:48 | 只看該作者
Discourse Markers as the Classificatory Factors of Speech Actsse markers . and . are rather efficacious in differentiating distinct speech acts. This paper indicates that quantitative indexes can reflect the characteristics of human speech acts, and more objective and data-based classification schemes might be achieved based on these metrics.
10#
發(fā)表于 2025-3-23 08:15:54 | 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(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 06:02
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
焉耆| 福清市| 阳城县| 阜宁县| 墨江| 淮阳县| 淮滨县| 海伦市| 陆川县| 平邑县| 建昌县| 类乌齐县| 武鸣县| 正宁县| 淅川县| 信宜市| 天柱县| 陇川县| 广州市| 安吉县| 伊春市| 泾源县| 汝阳县| 哈密市| 栖霞市| 来安县| 孟津县| 仪陇县| 榆社县| 大同县| 公安县| 开江县| 乐亭县| 上林县| 织金县| 永昌县| 邢台市| 集安市| 宜黄县| 邢台县| 齐齐哈尔市|