会议信息

CICLing 2019: International Conference on Computational Linguistics and Intelligent Text Processing

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CICLing
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截稿日期:
2019-01-10
通知日期:
2019-02-20
会议日期:
2019-04-07
会议地点:
La Rochelle, France
届数:
20
ICORE: C   QUALIS: B1   浏览: 27857   关注: 6   参加: 0

会伴指数 (CP-I)

71.1 / 100
全站第 314 名 / 共 5,683 个会议 · 前 6%

自然语言处理与语音 第 10 / 85

学术认可 (35%)
78
投稿选择性 (20%)
82
会议传承 (20%)
82
社区关注 (10%)
27
资料公开度 (15%)
55

用到的输入: 收录等级：ICORE C, QUALIS B1 · 录用率：26.5%（有记录的 5 届的均值） · 有据可查的届次：20 · 在会伴关注它的研究者：6 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-22

征稿

CICLing 2019 (International Conference on Computational Linguistics and Intelligent Text Processing) is a ICORE C / QUALIS B1 conference held in La Rochelle, France on 2019-04-07. The paper submission deadline is 2019-01-10. Acceptance notifications are sent on 2019-02-20.

Areas of interest In general, we are interested in whatever helps, will help eventually, or might help computers meaningfully deal with language data. The conference is intended to encourage exchange of opinions between the scientists working in different areas of the growing field of computational linguistics and intelligent text and speech processing. Our idea is to get a general view of the state of art in computational linguistics and its applications. Areas of interest include, but are not limited to, the following topics, provided that the work is presented in computer-related or formal description aspects: Computational linguistics research: Computational linguistic theories and formalisms Representation of linguistic knowledge Lexical resources Morphology, syntax, semantics Discourse models Ambiguity resolution Anaphora resolution Word sense disambiguation Recognizing textual entailment Text generation Machine translation etc. Intelligent text and speech processing and their applications: Opinion mining, sentiment analysis, social networks Speech processing and text-to-speech Text categorization and clustering Information retrieval, information extraction Text mining Summarization Spell checking Detection of plagiarism Natural language interfaces etc. We welcome works on processing any language (not necessarily English), though major languages are of more general interest. When discussing phenomena of languages other than English, please keep your discussion understandable for people not familiar with this language.
由 Dou Sun 最后更新于

录用率

平均录用率: 35.3% 11 年间 (2001–2012).

年份提交数录用数录用率(%)
20123078828.7%
20102716122.5%
20091674426.3%
20082045225.5%
20071795329.6%
20061765933.5%
20051515335.1%
20041294031%
2003924346.7%
2002673552.2%
2001724156.9%

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CCF全称影响因子出版商ISSN
BComputational Linguistics5.3MIT Press0891-2017
BTransactions of the Association for Computational LinguisticsThe Association for Computational Linguistics2307-387X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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