Natural Language Processing
A Practitioner's Guide to Natural Language Processing (Part I) — Processing & Understanding Text
However, based on all the excellent feedback I’ve received from all my readers (yes all you amazing people out there!), the main objective and …
Natural Language ProcessingAuto-generated materials database of Curie and Néel temperatures via semi-supervised relationship extraction
Data Descriptor |<p>Open | Published: 19 June 2018<p>Callum J. Court<br>• & Jacqueline M. Cole<p><i>Scientific Data</i> <b>volume 5</b>, Article number: 180111 (2018) | Download …
Google ScholarPivoted document length normalisation | RARE Technologies
<b>Term frequency</b>: For a word (or term) t, the term frequency is denoted by tft,d and the frequency of each term in a document d is denoted by ft,d then …
Data ScienceSent2Vec: An unsupervised approach towards learning sentence embeddings | RARE Technologies
<i>Comparison of sentence embedding techniques by Prerna Kashyap, a RARE Incubator student. Prerna implemented a new document embedding model in Gensim,</i> …
Machine LearningKS3 Computer Science - Introduction to computational thinking - Revision 1
What is computational thinking?<p>Computers can be used to help us solve problems. However, before a problem can be tackled, the problem itself and the ways in which it could be solved need to be understood.<p>Computational thinking allows us to do this.<p>Computational thinking allows us to take a complex …
Computer ScienceNLP In Under 5 Min
AI is the sexiest trend in tech, and NLP (Natural Language Processing) is one of its many branches. NLP is the ability of a machine to understand and …
Data ScienceText Classification: The First Step Toward NLP Mastery
Build a Strong Baseline by Following Simple Steps<p><b>Natural Language Processing</b> (<b>NLP</b>) is a wide area of research where the worlds of artificial …
Machine LearningIn Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics
<b>Fred Morstatter, Huan Liu</b>; 18(169):1−32, 2018.<p>Abstract<p>Topic modeling is an important tool in natural language processing. Topic models provide two …
Machine LearningHow are ‘immigrant workers’ represented in Korean news reporting?—A text mining approach to critical discourse analysis | Digital Scholarship in the Humanities
The present study explores the usefulness of a text mining approach to investigating the representation of minorities in news reporting. The question …
Humanitiesnatural language to sql (from examples), learning sql from examples
Disclaimer: May be has been asked before, but couldn't find something that could fit the bill. The closest I got to was Automatic SQL query …
Sql11 texts you only get from your dad
3) The 'I hate texting' text.<p>1. The 'buying mum a present' text<p>2. The 'rolling news service' text<p>3. The 'I hate texting' text<p>4. The 'trying to be your fellow fan' text<p>5. The 'practical advice' text<p>6. The 'learning text abbreviations and sounding like a teenager' text<p>7. The 'bored at home' text<p>8. …
Text MessagingUnderstanding the Working of Universal Language Model Fine Tuning (ULMFiT)
<b>Transfer Learning</b> in <b>natural language processing</b> is an area that had not been explored with great success. But, last month (May 2018), <b>Jeremy Howard</b> …
Deep LearningSpeech Synthesis as a Service
MLaaS Part 2: Speaker on the wall, who’s got the best voice of them all?<p>Natural-sounding robotic voices<p>With the increasing performance of …
Text-To-SpeechClinical natural language processing for predicting hospital readmission
Doctors have always written clinical notes about their patients — originally, the notes were on paper and were locked away in a cabinet. Fortunately …
Data SciencePubMed Phrases, an open set of coherent phrases for searching biomedical literature
Altmetric: 3<p>More detail<p>Data Descriptor |<p>Open | Published: 12 June 2018<p>Sun Kim<br>• , Lana Yeganova<br>• , Donald C. Comeau<br>• , W. John Wilbur<br>• & Zhiyong Lu<p><i>Scientific</i> …
Google ScholarHealth Language Analytics takes out top prize at NSW iAwards
Sydney's Health Language Analytics (HLA) took out the Premier’s award for public sector innovation at the NSW iAwards last week for its Horizon …
AnalyticsTransfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis. (arXiv:1806.04558v1 [cs.CL])
Authors: Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio Lopez Moreno, Yonghui …
Text-To-SpeechSemantic Web Company: The Web As We Know It Has Reached Its Limits Due To A Lack Of Semantics
SSupported by SproutSocial.com – helps organisations collaborate and publish across multiple social profiles and networks;<p>Below is our recent …
Artificial IntelligencePyTorch Sentiment Analysis
This repo contains tutorials covering how to do sentiment analysis using PyTorch 0.4 and TorchText 0.2.3 using Python 3.6.<p>The first 2 tutorials will …
TutorialsConversational AI tutorial, RNNs for particle physics, InfoGAN, NLP Coursera, NLP book, killer robots, Code2pix, Google AI principles, relational reasoning
http://newsletter.ruder.io/issues/conversational-ai-tutorial-rnns-for-particle-physics-infogan-nlp-coursera-nlp-book-killer-robots-code2pix-google-ai- …
Particle Physicscompare table last two rows value and highlighted update field
check table rows last recently two update filled and compare updated value and highlighted that change//its all depends django historical records
Natural Language ProcessingFinding Syntax in Human Encephalography with Beam Search. (arXiv:1806.04127v1 [cs.CL])
Recurrent neural network grammars (RNNGs) are generative models of (tree,string) pairs that rely on neural networks to evaluate derivational choices. …
Computer ScienceKeras + Universal Sentence Encoder = Transfer Learning for text data
We are going to build a Keras model that leverages the pre-trained “Universal Sentence Encoder” to classify a given question text to one of the six …
Deep LearningEmbedding Machine Learning Models to Web Apps (Part-1)
Source (Pixabay)The best way to learn data science is by doing it, and there’s no other alternative . From this post, I am going to reflect my …
Machine LearningProbabilistic FastText for Multi-Sense Word Embeddings. (arXiv:1806.02901v1 [cs.CL])
Authors: Ben Athiwaratkun, Andrew Gordon Wilson, Anima AnandkumarWe introduce Probabilistic FastText, a new model for word embeddings that can …
arXivBest Papers
The ACL 2018 organising committee is please to announce the following best papers:<p><b>Best Long Papers</b><p><i>Finding syntax in human encephalography with beam</i> …
Artificial IntelligenceProving commutativity of type level addition of natural numbers
I'm playing around with what tools haskell offers for dependently typed programming. I have promoted a GADT representing natural numbers to the kind …
ProgrammingCan a bot learn a second language?
Creating a chatbot that can understand and use a language other than English can be an ambitious task. Chatbots are still in their early days and …
ChatbotsCoding & English Lit: Natural Language Processing in Python
<i>This beginner-level tutorial shows you how to use Python and the Natural Language Toolkit (NLTK) to analyze texts imported from URLs and downloaded</i> …
Python Programming