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Showing posts with label Project Debater. Show all posts
Showing posts with label Project Debater. Show all posts

Monday, October 12, 2020

IBM Enables AI Enabled Debate

This could lead to AI being able to make 'arguments' as parts of business process.  Could be used broadly, for example in courts and as parts of smart contract testing.   Or to test advertising pitches in context.  Truly a newly emergent part of AI.  An improved model for crowd sourcing?

IBM showcases latest A.I. advancements on Bloomberg's "That's Debatable" TV show

Software, which IBM hopes to sell to businesses, distills 'key points' from thousands of individual comments  ... "

More from IBM on Project Debater  ....    Related Blog on Project Debater

Thursday, March 12, 2020

Debater Improves the way Watson Uses Language

Things that came of of the 'Debater' project, some interesting ways to include in a system the way we construct words and phrases creatively.   The kinds of things I try hard not to use with my assistants.   Avoiding 'complicated word schemes', or even slightly complicated phrases.    Look forward to trying that.  See 'Project Debater' tag below for my previous posts on this.

IBM enhances Watson’s natural language understanding capabilities  By Mike Wheatley from Siliconangle

IBM Corp. said today it has made some big improvements to the natural language processing capabilities of its IBM Watson platform.

The new capabilities, which were born out of IBM Research’s Project Debater, will help Watson understand and analyze some of the most challenging aspects of English language with greater clarity than before, the company said.

IBM’s Project Debater is an artificial intelligence system that was built by the company to debate with humans on a complex range of topics. The system is designed to understand subtleties in the English language such as idioms and colloquialisms that traditional AI has always struggled with.

For example, a phrase such as “hot under the collar” is well-understood by humans, but most AI systems are likely to get the wrong end of the stick, so to speak, since their algorithms can’t detect the true meaning. But those kinds of idioms aren’t a problem for Project Debater, which is capable of much more advanced sentiment analysis.

IBM said it will be integrating Project Debater’s natural language processing capabilities into Watson “throughout the year.” Customers will then be able to add the new capabilities to their existing AI models to help them better exploit natural language.

“Language is a tool for expressing thought and opinion, as much as it is a tool for information,” Rob Thomas, general manager of IBM Data and AI, said in a statement. “This is why we believe that advancing our ability to capture, analyze and understand more from language with NLP will help transform how businesses utilize their intellectual capital that is codified in data.”

IBM said Project Debater adds four distinct capabilities to Watson, including more advanced sentiment analysis. As a result, it said, it can better identify and understand complicated word schemes like idioms and so-called “sentiment shifters” — combinations of words that, taken together, take on new meaning, such as “hardly helpful.”   .... " 

Tuesday, February 04, 2020

IBM Upgrades Debate AI Tool to Better Derive Evidence

Intriguing approach to mining information to support a goal directed conversation.   A key aspect to making conversational systems more powerful.  Note also the crowdsourcing integrated here to grade evidence.  Noting that the report here does not mention 'Watson', it seems IBM is using their AI trademark much less these days.

IBM's Debating AI Just Got a Lot Closer to Being a Useful Tool
By MIT Technology Review via CACM

The IBM Debater system taking part in a debate at the University of Cambridge last year.
IBM upgraded the neural networks used by its Project Debater system, to improve the quality of evidence the argument-mining system uncovers.

IBM upgraded the neural networks used by its Project Debater system to improve the quality of evidence the argument-mining system uncovers.

One new add-on for the debating system is BERT (Bidirectional Encoder Representations from Transformers), a network designed by Google for natural language processing and answering queries.

IBM Research scientists trained the AI on 400 million documents from the LexisNexis database, providing a natural language dataset of roughly 10 billion sentences; the researchers combined the dataset with claims about several hundred different topics, then had crowdsourced workers label the sentences based on the quality of their evidence for or against specific claims.

A supervised learning algorithm digested this data, allowing BERT to manage queries on a wide range of subjects and to yield more relevant sentences compared to previous systems.

Project Debater was 95% accurate for the top 50 sentences across 100 distinct topics, according to IBM researcher Noam Slonim,  ... " 

Wednesday, May 22, 2019

Talk on Project Debater

Invitation to the ISSIP Cognitive Systems Institute Group Webinar

Please join us for the next ISSIP CSIG Speaker Series    "IBM Project Debater"

Noam Slonim, IBM, When:  Thursday, May 23, 10:30am - US Eastern

Zoom Detail Below

Background:

Dr. Noam Slonim is a Distinguished Engineer at IBM Research AI. Noam completed his PhD at the Interdisciplinary Center for Neural Computation at the Hebrew University in 2002. After a few years as an Associate Research Scholar at the Genomics Institute at Princeton University, Noam joined IBM Research in 2007. In 2011, he proposed Project Debater as the next Grand Challenge for IBM Research, and he serves as the Principal Investigator of Project Debater since then.


Task Description:

Project Debater is the first AI system developed to compete in a full-live debate with a human debater. The project, an IBM Grand Challenge, is designed to build coherent, convincing speeches on its own, as well as provide rebuttals to the opponent's main arguments. In February 2019, Project Debater competed against Harish Natarajan, who holds the world record for most debate victories, in an event held in San Francisco and broadcasted live world-wide. In this talk I will tell the story of Project Debater, from conception to a climatic final event, describe its underlying technology, and discuss how it can be leveraged for advancing decision making and critical thinking.

Date and Time : May 23 2019 - 10:30am US Eastern

 http://cognitive-science.info/community/weekly-update/       the slides and talk will be posted here 

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