Articles About Natural Language Processing

Issue #131 – Measuring and Increasing Context Usage in Context-Aware NMT

20 May21 Issue #131 – Measuring and Increasing Context Usage in Context-Aware NMT in Model improvement, The Neural MT Weekly Author: Dr. Patrik Lambert, Senior Machine Translation Scientist @ Iconic Introduction Context-aware neural machine translation (NMT) is a topic which has often been covered in this blog, for its application to domain adaptation or document-level NMT (see issues #15, #31, #34, #39, #98, #128). However, most papers on context-aware NMT present approaches which have the ability to leverage context information, […]

Read more

SMS Spam Detection Using LSTM – A Hands On Guide!

Introduction  In today’s world, almost everyone is using a mobile phone and all of them will receive messages(SMS/ email) daily on their phone. But the main thing is that many of the received messages will be spam and only a few of them are ham or required messages. In this article, we are going to create an SMS spam detection model which will help you to find whether an SMS is spam or not using LSTM. About Dataset: Here we […]

Read more

Hands-on Experience With GPT3!

This article was published as a part of the Data Science Blogathon. Yes, you read it right. In this article, I will give you a hands-on experience of GPT3. I was lucky enough to get access to private beta after waiting for 8 months 🙂 Introduction Last week I was exploring with GPT-3. I was thinking I will learn it in a data it two. But boy it took me a lot of time to learn it. I was very surprised […]

Read more

Build your own NLP based search engine Using BM25

Introduction Ever wondered how these search engines like Google and Yahoo work. And ever thought about how can they scan all through the internet and return relevant results in just About 5,43,00,000 results (0.004seconds). Well, they work on the concept of Crawling and Indexing. Crawling: Automated bots looks for pages that are new or updated. And stores the key information like — URL, title, keywords, and so on from the pages to be used later. Indexing: Data captured from crawling is analyzed […]

Read more

Machine Learning Consulting Rates

One thing that is top of mind for companies looking to implement machine learning and data science solutions is cost. You want solutions and strategies that deliver but at the same time, you don’t want to over-invest in something that is yet to show value. One way of doing this cost-effectively without hiring an elaborate team internally is by using consultants. Either freelance or independent consultants or companies that provide consulting services. But how much does this cost? The first […]

Read more

7 Natural Language Processing Applications for Business Problems

Did you know, that several years ago, NLP was heavily an academic discipline? Today, natural language processing or NLP has become critical to business applications. This can partly be attributed to the growth of big data, consisting heavily of unstructured text data. The need for intelligent techniques to make sense of all this text-heavy data has helped put NLP on the map. So what’s this NLP? In a strict academic definition, NLP is about helping computers understand human language. It’s […]

Read more

Spotify: Machine learning to personalize the user experience

This article was published as a part of the Data Science Blogathon. What is user engagement? User engagement is the quality of the user experience that emphasizes the positive aspect of the interaction so that the person who has got this positive experience will want to use the technology longer and often. This is one of the things that a lot of companies– internet companies– try to do. There’s various characteristic. What does it mean to be engaged? Spotify is focused. […]

Read more

What they do when in doubt: a study of inductive biases in seq2seq learners

Abstract Sequence-to-sequence (seq2seq) learners are widely used, but we still have only limited knowledge about what inductive biases shape the way they generalize. We address that by investigating how popular seq2seq learners generalize in tasks that have high ambiguity in the training data. We use four new tasks to study learners’ preferences for memorization, arithmetic, hierarchical, and compositional reasoning. Further, we connect to Solomonoff’s theory of induction and propose to use description length as a principled and sensitive measure of […]

Read more

AIML – A Language for Chatbots

This article was published as a part of the Data Science Blogathon. What is a Chatbot? Chatbots are intelligent digital assistants which may address customer’s basic and predictable queries. They offer numerous services via chatting and perform basic customer service operations. Chatbots work 24/7 and hence they provide assistance when offices are closed on holidays. There are a variety of synonyms for chatbot, including “talkbot,” “bot,” “IM bot,” “interactive agent” or “artificial conversation entity.“ Most organizations have already started implementing […]

Read more
1 20 21 22 23 24 71