Problem with distribution of workload and data classification (qualitative nominal) - directory

I have a problem in my department and it is getting out of control. I am trying to use Microsoft teams for it.
Thank you in advance everyone!
Cheers!
Best regards
Edward

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Looking for assistance in identifying the similarity between news articles using cosine-similarity

TL;DR i'm currently creating a cross-platform mobile news aggregator, which will identify news articles from different publishers, but about the same topic, e.g. a celebrity passes away.
I believe I found an appropriate journal that can guide me through the steps 'Document Clustering with grouping and chaining algorithms'.
(https://www.aclweb.org/anthology/I05-1025.pdf)
However many of the steps are confusing me such as:
1) Document clustering
2) Grouping and chaining algorithms
3) Understanding equations such as the one below that I'll need to compute.
Any help on the matter, or a brief description of the steps would be greatly appreciated.
Thanks for the help.
I'm also interested in any experts in this field, and would love to use your knowledge as qualitative evidence for my project. If you'd be be up for it please DM, or drop a comment. Thanks again!

Advice and guidance for a rough program

I'm new to data structures and I have to build a rough version of Uber using graph, Floyd Warshall algorithm and search tree I think. Are there any similar problems and can I get some guidance on how to tackle this? Thanks
I would check out google maps api.
Its a fast easy way to get started on the mapping side.
Here's a link to get started
https://developers.google.com/maps/documentation/javascript/tutorial

Has questionanswering (QA) been used with Freebase as a knowledge base?

Has there been any prior work done on question answering machines using Freebase as a knowledge base? I searched for this on the web but couldn't get anything substantial. Does anyone know of any work around this area where the input is an unstructured question and the QA engine leverages Freebase to provide answers?
Take a look at the papers on Question Answering in our Mendeley group to see how people are using Freebase data to do question answering. There's a paper in there that covers the IBM Watson project that Tom mentions.
I also made a little question answering demo on FreebaseApps.com that you can try here:
http://answers.freebaseapps.com/?q=what+is+the+population+of+paris
This doesn't sound like a programming question, but IBM's Jeopardy-playing Watson reportedly used Freebase (among many other sources of information) and TrueKnowledge in the UK uses it as one input.

ERD (Entity-relationship model) - Need an example for a prob that can not be modeled by it

I got a weird H.W assignment in requirements engineering seminar .
I was digging through the entire net yet found no example for this one...
I need to find a problem from any engineering field (mechanics,medicine,chemistry,programming etc.) that the ERD model fails to give a complete/any answer to.
Can anyone show me some examples of a loss of information/process/entity while modeling only in ERD ?
maybe a point where I will need to compromise in order to continue modeling?
Or at least what are ERD's limitations ?
I need it to be an example for the limitation/disadvantage and not an example for a common mistake or bad modeling.
Well, ERD only deals with static aspects of the problem (i.e. the structure of the data that needs to be manipulated). All the information about the dynamic aspects of the problem will be lost if you only model using ERD

Short survey on Enterprise JavaBeans usage

I would be very appreciative if anyone who has any experience with using Enterprise JavaBeans, or who considered, but rejected the use of EJBs would respond to a short survey. The survey consists of eleven (11) questions, and should take five (5) minutes or less to complete.
I am collecting this data for a class that I am taking.
The URL for the survey is http://cs.createsurvey.com/c/89/9089/survey/11793-UCyRqE.html
Thank you very much in advance for your participation!
Regards,
Tom Harris

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