Reading through a large number of articles every day can be time-consuming, especially if those articles are long. Helping you save time is a problem we are very passionate about, so we are excited to release today a new Leo skill called Summarization. We have taught Leo to read and summarize the articles in your […]
Broad business and tech publications produce hundreds of articles per week. Not all those articles are relevant to the topics, companies, or products you care about. Manually filtering out the noise can be overwhelming and time-consuming. Relevance is a problem we are very passionate about. We have spent the last two years designing and building […]
Twitter is an important medium where thought leaders, researchers, and realtime news publications share insightful tweets and links. Today, we are excited to announce a new Twitter integration that allows you to follow twitter accounts, hashtags, and searches directly in your Feedly (and easily read the referenced articles inline). Here is a quick demo Connect […]
Industries are changing at a faster pace than ever. Keeping up with new threats and opportunities can be overwhelming and time-consuming. Today, we are excited to announce a new Leo skill that lets you easily track key business events like funding events, product launches, or partnerships. Here is a quick demo Funding Events We have […]
Some of the sources you follow in Feedly are broader than the topics and trends you care about. That additional noise can add up and become overwhelming or result in you wasting precious time. We believe that noise is the enemy and we have been building a new Leo skill called Mute Filters to let […]
At Feedly, we’re passionate about saving you time. Even seconds. So here’s another useful tip to speed up your reading flow! When you press “?” anywhere in Feedly, you’ll see a list of all available keyboard shortcuts. Here are all 25 shortcuts at a glance: Backed by popular requests from the community, today we introduce […]
One of our goals for 2020 is to make board newsletters more customizable. Some teams use notes and highlights as internal collaboration tools and would like the options to NOT include those annotations in the newsletters they sent to their executives, partners, or customers. Now admins can configure their board newsletters to exclude their notes, […]
We are excited to launch a new version of the Feedly Web UI that improves the navigation and adds support for a cool dark theme. Here is a quick demo. More visible Add Content (+) The profile and add content are now more visible in a left band. Team users will also be able to […]
We are very excited to receive Emmanuel Ameisen in our Feedly office this Thursday for the first NLP breakfast of 2020! The topic of the discussion will be around all the intuitions that we should build before (and after) building models. Emmanuel is a talented data scientist with a solid experience in the industry as […]
Over the last years, language modeling pre-trained methods have yielded effective improvement in Natural Language Processing tasks. Most of the improvements have come with ELMo followed by, large research on the Transformer approaches like BERT or XLNET despite the fact that the transformers are expensive to train. Unfortunately, we haven’t seen much improvement in the […]
We are very happy to welcome Pauline Chavallard, Data Science manager at Doctrine.fr, presenting a practical NLP project on structuring legal documents with deep learning. Abstract Court decisions are traditionally long and complex documents. To make things worse, it is not uncommon for a lawyer to only be interested in the operative part of the […]
Edouard Mehlman will be presenting the Recursive Routing Networks paper from Stanford NLP Group. This recent NLP paper from the Stanford NLP group presents an original approach to the Natural Language Inference problem, ie, the task of determining whether a “hypothesis” is true (entailment), false (contradiction), or undetermined (neutral) given a “premise”. The paper introduces […]
We are thrilled to host Andre Farias, NLP Data Scientist at SouthPigalle, presenting an ambitious NLP project in collaboration with BNP PARIBAS Personal Finance and Telecom Paris. Abstract Closed Domain Question Answering (cdQA) is an end-to-end open-source software suite for Question Answering using classical IR methods and Transfer Learning with the pre-trained model BERT (Pytorch […]
Edouard Mehlman will be presenting two papers about Knowledge Distillation at the next NLP Breakfast. A simple way to improve the performance of almost any machine learning algorithm is to train many different models on the same data and then to average their predictions. Unfortunately, making predictions using a whole ensemble of models is cumbersome […]
Welcome to the 7th edition Feedly NLP Breakfast, an online meetup to discuss everything around NLP! This time, Stephane Egly will present XLNet, an unsupervised pre-training strategy that improves the state of the art in NLP benchmarks. When? Thursday 27 June at 9:30 AM PST Where?
Welcome to the 6th edition feedly NLP Breakfast, an online meetup to discuss everything NLP! This time, we will present Transfer NLP, an open source library we have opened to promote reproducible experimentation and make it easy to transfer code and knowledge. We are hosting the event in Redwood City on , but you will be […]
For this edition, we are very grateful to have Victor Sanh, a research scientist at HuggingFace presenting his paper at AAAI 2019: A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks, co-authored with Thomas Wolf and Sebastian Ruder. Abstract: Much effort has been devoted to evaluating whether multi-task learning can be leveraged to learn […]
This is the 4th edition of the Feedly NLP Breakfast! We will discuss Graph Neural Networks based on the slides from Stanford’s Network Representation Learning (NLR) group, adapted here. It offers an interesting high-level overview of the evolution of these algorithms, and bring focus on the Node2Vec and Gated Graph Neural Network algorithms. In the […]
