Topic: natural language processing
IBM announces three new AI libraries for natural language processing
IBM unveiled three new embeddable AI libraries to reduce the barriers for AI adoption and to address the AI skills shortage. The models include the same language processing and speech libraries that IBM uses to power its own IBM Watson software. One of the new libraries is IBM Watson Natural Language Processing Library (NLP), designed … continue reading
Amazon releases new natural language query tool
AWS announced the release of Amazon QuickSight Q, a natural language query tool for the Enterprise Edition of QuickSight. It uses Natural Language Understanding (NLU) to discover the intent behind questions and is able to answer questions that refer to all data sources supported by QuickSight, according to AWS. This includes data from all AWS … continue reading
GPT-3: Advancing the understanding of cues for coding, writing
OpenAI says it is backlogged with a waitlist of prospective testers seeking to assess if the first private beta of its GPT-3 natural language programming (NLP) tool really can push the boundaries of artificial intelligence (AI). Since making the GPT-3 beta available in June as an API to those who go through OpenAI’s vetting process, … continue reading
SuperGLUE benchmark challenges natural language processing tasks
Artificial intelligence researchers want to advance natural language processing with the release of SuperGLUE. SuperGLUE builds off of the previous General Language Understanding Evaluation (GLUE) benchmark, but aims to provide more difficult language understanding tasks and a new public leaderboard. SuperGLUE was developed by AI researchers from Facebook AI, Google DeepMind, New York University and … continue reading
SD Times Open-Source Project of the Week: Snips NLU
Natural language understanding is a form of natural language processing that enables machine reading comprehension. Common applications of this include AI assistants, chatbots, and voice assistants. “Behind every chatbot and voice assistant lies a common piece of technology: Natural Language Understanding (NLU). Anytime a user interacts with an AI using natural language, their words need … continue reading
SD Times Open-Source Project of the Week: Finetune
Enterprise AI solution provider Indico has announced a new open-source project for machine learning and natural language processing. Finetune is a “scikit-learn style model finetuning for NLP,” according to its GitHub page. Finetuning refers to a transfer learning approach that is meant to take a model that is trained on one task and adapt it … continue reading
SD Times news digest: Apache OpenNLP 1.9.0, Bloomsbury AI joins Facebook, and Android P’s text features
Apache OpenNLP, a machine learning toolkit for processing natural language text, has reached version 1.9.0. The toolkit provides support for common NLP tasks including tokenization, sentence segmentation, part-of speech tagging, named entity extraction, chunking, and parsing. Some of the changes in this version include Brat Document Parser supports name type filters, Brat format support fails … continue reading
Salesforce Research aims to capture the nuances of natural language processing
The Salesforce Research team is attempting to capture the nuances of natural language processing with a new generalized model. The team described its approach in a recently published a paper on the Natural Language Decathlon (decaNLP). According to Richard Socher, chief scientist at Salesforce who is leading the research team, while natural language processing is … continue reading
SD Times GitHub Project of the Week: spaCy
The natural language processing Python library spaCy was recently updated to version 2.0. SpaCy is an open-source project that was created based on recent language processing research. The author’s intent is for it to ultimately be used in real products and solutions. Version 2.0 adds several new features, including new neural network models, support for … continue reading
Analyst View: Will software always need users?
Interactive software needs users to guide it through a process. But many steps have been or can be automated. The promise of machine learning is to automate any remaining un-automated steps. How should a software architect find the limits of automation and the right role for people in a system? In the early days of … continue reading
Android Testing Support Library 1.0, Node-ChakraCore, and MapR and Talend’s GDPR data lake solution — SD Times news digest: July 28, 2017
Google announced the Android Testing Support Library 1.0. The library is an extensive framework for testing Android apps. According to the company, the latest version is a major update to existing testing APIs and features new capabilities, enhances performance stability, and addresses bugs. Features include: Espresso improvements, ProviderTestRule, Grant Permission Rule, Android Test Orchestrator, and … continue reading
Tryolabs’ Top 10 list of Python libraries for 2016
If you ask a bunch of developers what programming language they prefer, prepare for a bunch of different answers. One popular programming language that seems to still be on the rise, according to Tryolabs, is Python, which is why the organization recapped some of the best Python libraries of 2016 today. Tryolabs, a company that … continue reading
