Course talk:CPSC522/TextSummarizationUsingMachineLearning

On a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree" please rate and comment on the following:

   The topic is relevant for the course. 5
   The writing is clear and the English is good. 3
   The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds). 4
   The formalism (definitions, mathematics) was well chosen to make the page easier to understand. 4
   The abstract is a concise and clear summary. 5
   There were appropriate (original) examples that helped make the topic clear. 5
   There was appropriate use of (pseudo-) code. 5
   It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). 5
   It is correct. 5
   It was neither too short nor too long for the topic. 5
   It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page). 5
   It links to appropriate other pages in the wiki. 5
   The references and links to external pages are well chosen. 3
   I would recommend this page to someone who wanted to find out about the topic. 4
   This page should be highlighted as an exemplary page for others to emulate. 5

If I was grading it out of 20, I would give it: 16.5

• Perhaps you should include links to the research papers.
• When you mention the time when the paper is published, I recommend also explicitly stating the year, e.g. 1999, to give it more context and then the reader won't have to look at the references to find out.
• Paper 1: I assume "tf" means "term frequency", but what's tf.idf? I think more explanation is needed here.
• Paper 2: Posd, posp, BD, BP, D, and P are used in the equations given for "Position of sentences" but there's no elaboration on them. What do these mean?
• Paper 2: It was not clear in the Background section that the authors performed text summarization on Japanese. Hence, it felt that the "ga", "ha", "ta", and "jiritsu" came out of nowhere in the Author's Contribution section, and would be confusing for those not able to immediately recognize those as Japanese.
• There are a few grammar and spelling mistakes.

Hi May,

Thanks for the feedback, I have made the necessary amendments as suggested by you.

An Interesting article covering text summarization. Here are some of the suggestions to improve the page:

1. Words like concept counting and topic signatures may need further explanations or hyperlinks.
2. Some of the symbols used in the equations are not explained (BD, BP, D, P).
3. Some of the sentences need restructuring. I suggest Grammarly, to correct minor errors.

• The topic is relevant for the course. 5
• The writing is clear and the English is good. 4
• The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds). 5
• The formalism (definitions, mathematics) was well chosen to make the page easier to understand. 4
• The abstract is a concise and clear summary. 5
• There were appropriate (original) examples that helped make the topic clear. 4
• There was appropriate use of (pseudo-) code. 4
• It had a good coverage of representations, semantics, inference, and learning (as appropriate for the topic). 5
• It is correct. 5
• It was neither too short nor too long for the topic. 5
• It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page). 5
• It links to appropriate other pages in the wiki. 5
• The references and links to external pages are well chosen. 4
• I would recommend this page to someone who wanted to find out about the topic. 4
• This page should be highlighted as an exemplary page for others to emulate. 4

If I was grading it out of 20, I would give it: 17

Hi Kevin,

Thanks for the feedback. I have updated my Wiki page based on your three suggestions. Hopefully, now it will be easier to read for any new reader.

I think you did well picking an interesting topic here. Overall I liked the page, but I think there are a few areas you might be able to improve. It seemed like the information was a little light on the first paper, and I wonder if there might be some room to expand on the research presented in that paper. In particular, there were a few things mentioned that it might help to expand on a bit, for instance you mention tf.idf but don't explain what that is, or link to any other page that mentions it, so it might be good to discuss that some more for instance. Although the writing was definitely easy to understand, there were a few minor grammar issues, although nothing too difficult to correct with an editing pass before finishing the final version.

On a scale of 1 to 5, where 1 means "strongly disagree" and 5 means "strongly agree" please rate and comment on the following:

  The topic is relevant for the course. 5
  The writing is clear and the English is good. 4
  The page is written at an appropriate level for CPSC 522 students (where the students have diverse backgrounds). 4
  The formalism (definitions, mathematics) was well chosen to make the page easier to understand. 4
  The abstract is a concise and clear summary. 5
  There were appropriate (original) examples that helped make the topic clear. 4
  There was appropriate use of (pseudo-) code. 5
  It had a good coverage of representations, semantics, inference and learning (as appropriate for the topic). 5
  It is correct. 5
  It was neither too short nor too long for the topic. 5
  It was an appropriate unit for a page (it shouldn't be split into different topics or merged with another page). 5
  It links to appropriate other pages in the wiki. 5
  The references and links to external pages are well chosen. 3
  I would recommend this page to someone who wanted to find out about the topic. 4
  This page should be highlighted as an exemplary page for others to emulate. 4

If I was grading it out of 20, I would give it: 16

Hi David,

Thanks for the feedback. According to your suggestions, i have expanded the first paper by putting in some details from the paper itself and also provided the link for tf.idf term. Also, to make things clear i have added an example of text summarization in general.