TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

List of Important Publications in Computer Science

58 点作者 vinutheraj将近 14 年前

4 条评论

danieldk将近 14 年前
In some areas the list is certainly not accurate. E.g. in computational linguistics:<p>- <i>Realization of Natural-Language Interfaces Using Lazy Functional Programming</i>, Frost, 2006. I never ever heard of this article, with only 17 citations overall (in 5 years) it can hardly be considered important.<p>- In the entry of <i>Transformation-based error-driven learning and natural language processing</i>, Brill, 1995 (which is an important publication) it is stated that it <i>"Describes a now commonly-used POS tagger based on transformation-based learning."</i> Which is not true, since nearly everyone uses HMM, maxent, or SVM taggers these days because they give far higher accuracies.<p>Although it is far from perfect, the number of citations is probably one of the best manners to count importance. Someone actually did this per year for ACL conferences:<p><a href="http://www.phontron.com/blog/?p=29" rel="nofollow">http://www.phontron.com/blog/?p=29</a><p>Obviously, there are other conferences, journals, etc. But it gives a pretty good overview of papers that are recommended. Also, there's the ACL top-10 rankings:<p><a href="http://clair.si.umich.edu/clair/anthology/rankings.cgi" rel="nofollow">http://clair.si.umich.edu/clair/anthology/rankings.cgi</a>
rxin将近 14 年前
I took a look at the area that I am familiar with (database). If you'd like to gain more understanding about the area, it's probably better to look at required reading list from Berkeley and Stanford. (Note that the Berkeley list is longer.)<p><a href="http://www.eecs.berkeley.edu/GradAffairs/CS/Prelims/db.html" rel="nofollow">http://www.eecs.berkeley.edu/GradAffairs/CS/Prelims/db.html</a><p><a href="http://infolab.stanford.edu/db_pages/infoquallist.html" rel="nofollow">http://infolab.stanford.edu/db_pages/infoquallist.html</a>
epo将近 14 年前
Striking how old most of these papers are, many from the 60s and 70s, very few from the 00s.<p>Those who don't learn from the past are destined to reinvent it, poorly.
评论 #2883666 未加载
评论 #2884003 未加载
jackpirate将近 14 年前
If you're an aspiring computer science researcher looking at these articles, I cannot recommend enough Hamming's speach "You and Your Research." (<a href="http://www.cs.virginia.edu/~robins/YouAndYourResearch.html" rel="nofollow">http://www.cs.virginia.edu/~robins/YouAndYourResearch.html</a>)<p>He talks about the little optimizations you can do in your life to take your research to world-class level.