Category Archives: Natural Language Processing

DecisionCAMP Monthly Session on Jan 11, 2023

The first 2023 DecisionCAMP Monthly Session “Why is symbolic AI being overshadowed by statistical AI?” presented by Bas van der Raadt will be held on Jan 11 at 12:00 pm EST (New York Time). Register for free here.

Posted in Artificial Intelligence, Decision Intelligence, Decision Modeling, DecisionCAMP, Human-Machine Interaction, Knowledge Representation, Natural Language Processing, Reasoning, Semantic Web | Leave a comment

Cocktail Conversations

Neil Raden published an interesting post at LinkedIn: “Maybe I need to rethink my position on #chatGPT. Does it display humanlike intelligence? Maybe its vapid, content-free prose really is human intelligence. I described “Cocktail Conversation” in InformationWeek in 2008 as chatter … Continue reading

Posted in Human-Machine Interaction, Humor, Natural Language Processing | Leave a comment

Natural Language Execution – NLE

There is an ongoing discussion about NLE at LinkedIn started by Bas van der Raadt: “Contrary to Natural Lanuage Processing (NLP), NLE to me is: Going directly from (controlled) natural language to executable software without any intermediate steps of for … Continue reading

Posted in Human-Machine Interaction, Natural Language Processing | Leave a comment

Intelligent Virtual Assistants

As businesses race to provide better customer experience at a lower cost, the adoption of intelligent virtual assistants (IVA) will continue to explode. In its latest Decision Matrix for selecting an intelligent virtual assistant, Ovum evaluates top IVA vendors in … Continue reading

Posted in Customer service, Human-Machine Interaction, Natural Language Processing | Leave a comment

Extracting Decision Models from Text

KU Leuven scientists published the paper “Extracting Decision Model and Notation models from text using deep learning techniques“. It is the first attempt to use deep learning to extract DMN models from text. They classify sentences describing logic or dependencies, … Continue reading

Posted in Decision Modeling, Discoveries, DMN, Natural Language Processing | Leave a comment

On the Paradox of Learning to Reason from Data

Cornell University published this article on May-2022: “Logical reasoning is needed in a wide range of NLP tasks. Can a BERT model be trained end-to-end to solve logical reasoning problems presented in natural language? We attempt to answer this question … Continue reading

Posted in Artificial Intelligence, Machine Learning, Natural Language Processing | Leave a comment

Again about AI understanding

On Dec-2021 Melanie Mitchell published “What Does It Mean for AI to Understand“: “Remember IBM’s Watson, the AI Jeopardy! champion? A 2010 promotion proclaimed, “Watson understands natural language with all its ambiguity and complexity.” However, as we saw when Watson subsequently failed spectacularly in … Continue reading

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Semantic Rules & Machine Learning

Dr. Walid Saba discusses the limitations of the data-driven, statistical and machine learning (ML) approaches that are the currently dominant paradigm in the use of natural language processing (NLP) in text analytics. Using very simple examples, he argues that these … Continue reading

Posted in Knowledge Representation, Logic and AI, Machine Learning, Natural Language Processing | Leave a comment

Why a YouTube Chat About Chess Got Flagged for Hate Speech

This WIRED article talks about shortcomings in AI programs designed to automatically detect hate speech, abuse, and misinformation online. When WIRED fed some of statements gathered by the CMU researchers into two hate-speech classifiers, the statement “White’s attack on black is … Continue reading

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Recent Advances in Google Translate

Google Translate was introduced in 2016 and it enabled great improvements to the quality of translation for over 100 languages since then. In this post Google Research describes how recent advances in machine learning drive improvements to automated translation. Link

Posted in Artificial Intelligence, Languages, Machine Learning, Natural Language Processing | Leave a comment