Nothing special, just mostly a list of stuff that I've worked on in terms of my research interests.
HN user
Saad_M
NLG Expert & Lead Data scientist at trivago. One of the maintainers for the SimpleNLG project: https://github.com/simplenlg/simplenlg
Personal Webpage: https://saad.me.uk/
trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-known travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites.
At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
Take a look at open positions and apply at: https://careers.trivago.com/join/open-positions/
trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-known travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites. At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
We are looking for:
• Data Engineer – Data Intelligence
• Data Analytics Lead
• and many more…
Apply at:
trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-know travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites. At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
We are looking for:
• Data Scientist – Insights
• Data Engineer – Data Intelligence
• Data Analyst – Product Intelligence
• Lead Data Scientist – Auction Team
• and many more…
Onsite, 3-days per week.
trivago | Multiple Positions | Düsseldorf, Germany | Onsite (3 days per week) | Full Time | Visa Sponsorship
trivago is a well-know travel tech company enabling users to find the right accommodation. We save our users time and empower them to get more out of travel by comparing accommodation from leading booking sites. At trivago we have talents from over 80 different countries and work on some of the most interesting technical challenges within the accommodation meta-search space.
We are looking for:
• Data Analyst – Product Intelligence
• Site Reliability Engineer
• Senior Quantitative UX Researcher
• Senior Data Analyst – UX Research
• Backend Lead – Ranking & Search
Also for healthcare. Nuance is a big player in the healthcare market. A whole segment where DL approaches are not suitable due to lack of transparency.
On the academic side the SIGGEN mailing list is where a lot of the activity in the NLG community goes on: https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=SIGGEN
But it isn’t. I am still actively involved in NLG both professionally and academically and neural NLG systems have great promise but are still far from actively delivering tangible solutions to areas such data-to-text NLG. Inaccuracy, hallucinations are still highly problematic.
I very much disagree. There are use case such as weather reporting, electronic medical report summarisation, etc. That make more sense as a textual representation than bundles of graphs and tables. In fact textual summarisation has been shown to lead to better decision making[1].
Good data-to-text NLG applications not only summarise data but they also can provides insight into causal relations of why events occurred by leveraging domain knowledge.
I guess this effects all companies that run a platform whether it be social or market based. The question is what can a company do prevent bad internal actors without put their employees under draconian rules?
> They don't even have a space program.
Actually this is factually incorrect. They do have a space program and planning to send their first satellite to Mars this year: https://www.theguardian.com/world/2020/jun/09/it-is-about-ou...
The real question is whether a programming language that has lost traction, mindshare, and focus ever gained it back? It's probably no coincidence that Python's rise was at the same time of Perl's stagnation.
I don't agree 100% with the author, but I do wholeheartedly agree that the relevance of FSF movement definitely peaked after the ratification of GPLv3. After which, the relevance and political visibility of the movement has decreased significantly as we moved from PC/Laptops being our primary computing device to smartphones.
Yes it is. NLG is the sister field to NLP.
One thing I keep hoping for is improvements in the UI side of LibreOffice. I presume under Windows and Linux the UI feels more fluid and natural, but under macOS it is definitely inferior to that of MS Office or Apple’s iWork apps.
Is there a really need for this type of product? With the choice of either collecting your parcel from a delivery office or the multitude of delivery lockers that are popping up everywhere is this a problem that needs solving? Perhaps someone could help me to understand if there are particular scenarios where this would be beneficial to allow this form of parcel delivery.
Another alternative is that you may get a Galapagos island effect where Chinese firms do innovate, but their innovation is tied to the cultural and regulatory norms and not very applicable outside of China. The same effect was seen with Japanese cell phone companies pre-smartphone era.
In the article it’s noted that the digital camera couldn’t handle the fine dust and sand of Sudan, whereas the film camera did. Are there digital cameras can handle such difficult environmental conditions?
Yes and no. For the most premature babies in the low 20s week gestation they have minimal physical contact with their parents. However older preterm infants do receive Kangroo care with their mothers.
Really interesting text-to-text generation work. There’s also some work being looking at using Neural Networks for data-to-text generation. Some of which was presented at INLG 2016 last year at Edinburgh. However, it is still early days and currently symbolic approaches still achieve better text quality in closed world applications.
The reputational damage is in some ways will be bigger than the fine itself.
Irradiation is just one option. Pakistani mangoes are treated by using hot water treatment plants prior to export: http://www.dawn.com/news/229074/hot-water-treatment-of-mango...
Isn't this a case where Intel should not of talked about their internal R&D until they had a clear product & message to bring the market? I wonder if this lack of discipline cost Larrabee the correct narrative that it should have.
I too would like to see OpenBSD succeed on the desktop, but according to this blog post they some serious performance issues that need resolving first: http://www.tedunangst.com/flak/post/firefox-vs-rthreads
Well technology helped to eliminate the flight engineer role on modern planes. Technology could eliminate the need for a co-pilot, but the problem here is the lack of trust of having a single human in the loop. Plus the additional issues that others have mentioned e.g. pilot suicide, etc.
I wonder if it’s worth having any media organisation run a comments section. With so many commenting platforms that are available for the masses (Twitter, Medium, Reddit, etc.), I wonder if a comments section is more or less a relic of days when there wasn’t a plethora ways of getting your opinion across.
> If anything, processed sugars like HFCS which is extracted from corn by a chemical enzyme process, could be the cause.
Fructose, which Lustig (and other scientists) suspect as the prime cause is present in both HFCS and granulated sugar (cane or beet). It’s my understanding that the difference in fructose quantity between HFCS (55% Fructose, 45% glucose) and granulated sugar (50-50) is not a significant factor.
Except recently social networks, such as LinkedIn, takes note of any inactivity and will send periodic “enticer” emails in an attempt to increase you engagement with their site.
I'm surprised that a lot of the leaked information about DuPont's process came from disgruntled ex-employees. Surely DuPont's problem is with those ex-employees leaking sensitive information than anything else.