Category Archives: Natural Language Processing

Removing Ambiguity in Business Rules

Posted on February 1, 2024 by decisionmanagementcommunity

In his recent article “Being Unambiguous Beyond Reasonable Doubt in Expressing Rules” Ron Ross gave an example of the kind of ambiguity that policy interpreters, business analysts, and IT professionals deal with daily. It’s a sentence from the California 2014 … Continue reading →

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

DecisionCAMP Monthly Session on Jan 11, 2023

Posted on January 2, 2023 by decisionmanagementcommunity

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

Posted on December 29, 2022 by decisionmanagementcommunity

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

Posted on December 16, 2022 by decisionmanagementcommunity

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

Posted on October 17, 2022 by decisionmanagementcommunity

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

Posted on September 7, 2022 by decisionmanagementcommunity

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

Posted on August 26, 2022 by decisionmanagementcommunity

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

Posted on January 17, 2022 by decisionmanagementcommunity

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 →

Posted in Artificial Intelligence, Human-Machine Interaction, Knowledge Representation, Natural Language Processing | Leave a comment

Semantic Rules & Machine Learning

Posted on November 25, 2021 by decisionmanagementcommunity

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

Posted on March 4, 2021 by decisionmanagementcommunity

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 →

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