《如何写论文》PPT课件.ppt
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1、How to Write Papers,Charles Ling,Chalres Ling,Paper Writing Series,Today: Foundation of Writing Good Papers Future talks by Yaqin, Harry, and Hongjiang Potential topics How to write survey papers How to integrate research and paper writing Be scientifically rigor but not offensive Statistical tests
2、for empirical experiments How reviewers accept and reject papers Sentences: templates and organization Professional writing: words to use and not Common mistakes/problems Chinese often make,Chalres Ling,Outline,Importance of Paper-writing Skills What Makes a Good Paper Why is it so Hard to Write Goo
3、d Papers? How to Improve A Template for Good Papers Avoid Run-on Sentences Summary,Chalres Ling,Importance of Writing Skills,Publishing papers is critical for researchers Publishing is hard Low acceptance rate Competing with good papers Reviewers are potential competitors,Chalres Ling,Outline,Import
4、ance of Paper-writing Skills What Makes a Good Paper Why is it so Hard to Write Good Papers? How to Improve A Template for Good Papers Avoid Run-on Sentences Summary,Chalres Ling,What Makes a Good Paper,Good paper = good content + writing skills Content and results: your job Writing skills: Structur
5、e, flow, argument, Logical, clear, succinct, consistent, English Standard must be high Your best efforts Compared with others, yours is good/best Dont fool with the reviewers!,Chalres Ling,Outline,Importance of Paper-writing Skills What Makes a Good Paper Why is it so Hard to Write Good Papers? How
6、to Improve A Template for Good Papers Avoid Run-on Sentences Summary,Chalres Ling,Why Is It hard?,Who are our readers/reviewers Differences between thought and language We are the “sales person” Revisions: never be perfect Our English is bad, but Nothing can replace experience, but ,Chalres Ling,Out
7、line,Importance of Paper-writing Skills What Makes a Good Paper Why is it so Hard to Write Good Papers? How to Improve A Template for Good Papers Avoid Run-on Sentences Summary,Chalres Ling,How to Improve: In Readers Shoes,You know your work, but not your readers ! Reviewers/Readers: in the same bro
8、ad area, but have not worked on your problems Define terms, write about motivation and rationales, pose potential questions and answer them yourself What are your contributions? Show your elegance? Dont! Unless for pure math, or when you are really famous,Chalres Ling,A Reviewers Comments,This paper
9、 attempts to explain the success of Naive Bayes classifiers by showing that Unfortunately, this paper was extremely difficult to follow. In fact, it took several readings before I even understood the papers basic claims. The paper should have stated, at the beginning, that it is focusing on the repr
10、esentational (as opposed to learnability) issue: It would also have been useful to connect this notation with something practical-for example, The arguments and proofs were difficult to follow. They would probably have been easier if the paper had first outlined their structure, before giving the de
11、tails. ,Chalres Ling,How to Improve: What Reviewers Want,AAAI Reviewers (partial) check list: Does the paper introduce a new problem or provide a new solution to an existing one? What is the main result of the paper? Is the result significant? Is the paper technically sound? Does the paper provide a
12、n assessment of the strengths and limitations of the techniques/result? Is the paper clearly written so as to accessible to most AI researchers? Does the paper reference appropriate related work? Should the paper be nominated for a prize?,Chalres Ling,How to Improve: Note the Difference,Difference 1
13、: Outlining vs details,Solutions: Introductory/summary sentences Appendix and footnotes to “hide” details,Introduction Previous Work Our New Methods Algorithm Complexity Comparisons Conclusions References,This type of engine uses a robot or apider (theres an arcane difference between the two that is
14、nt very interesting) which constantly roams the World Wide Web searching for new or updated pages (what a wonderful job eh?) When the robot visits a page it reads the whole thing, including any sub-pages on the same server connected to the page its reading, then it visits all the external links on t
15、he pages its read.and so on, you get the idea. A robot can only follow links. It finds pages in two ways: by visiting pages its been told about (ie. on its submission form) or by following links from other pages. So, if your page isnt linked from anywhere else and you havent registered it, theres no
16、 way itll ever be found ?itll be invisible. You can actually ensure that most of the deep engines dont index your pages by using special no follow,Chalres Ling,1. Introduction The paper is organized as follows: In Section 2, we will review 2. Review of Previous Work Learning from noisy data has been
17、 extensively studied previously, and can be categorized into several classes. In the first class, entropy method is used. In the second class, Most entropy-based methods assume In sum, most previous work 3. Augmented Nave Bayes In this section, we will discuss an improved version of Nave Bayes. We w
18、ill first introduce definition and motivations. We will then describe our improved algorithm, and give a proof of its complexity. Finally, 3.1 Notations and Definitions (I am making a point here; a tricky balance),Chalres Ling,How to Improve: Note the Difference,Difference 2: non-linear vs linear pr
19、ocess,Solutions: Use illustration and flow chart Use connecting words,A3,(A1)This type of engine uses a robot or spider (theres an arcane difference between the two that isnt very interesting) which constantly roams the World Wide Web searching for new or updated pages (what a wonderful job eh?) (A2
20、)When the robot visits a page it reads the whole thing, including any sub-pages on the same server connected to the page its reading, then it visits all the external links on the pages its read.and so on, you get the idea. A robot can only follow links. (A3)It finds pages in two ways: by visiting pa
21、ges its been told about (ie. on its submission form) or by following links from other pages. (B1)So, if your page isnt linked from anywhere else and you havent registered it, theres no way itll ever be found ?itll be invisible. You can actually ensure that most of the deep engines dont index your pa
22、ges by using special no follow,Chalres Ling,Algorithm X has two components: A1 and B1. A1 is an improved version of , which is, in turn, supported by A2. We will describe Xs first component in the order of A1, A2, and A3. Afterwards, we discuss B1 and B2 in details. A1 A2 A3 Recall that X consists o
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