question answering

IBM’s AI goes multilingual — with single language training

At AAAI, our team presented two new multilingual research techniques that enable AI to understand different languages while only trained on one.

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IBM co-organizes ISWC Semantic Web Challenge on answer type prediction

The International Semantic Web Conference (ISWC) 2020, the premier international forum for the Semantic Web and Linked Data Community, is being held November 1 - 6, 2020. IBM Research AI is proud to participate in this conference as a platinum sponsor.

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IBM Research addressing Enterprise NLP challenges in 2020

The field of Natural Language Processing (NLP) has made large strides over the last decade. In fact, NLP is so common in today’s AI applications that whether consumers are communicating with a virtual assistant, asking for travel directions or searching for weather predictions, chances are they’re interacting with some form of NLP. This technology, however, […]

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Question Answering for Enterprise Use Cases

IBM Research AI is introducing a new leaderboard called TechQA to foster research on enterprise question answering (QA).

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Understanding the Difficulty of Complex Question Answering

As part of the collection of IBM Research papers at ACL 2018, we were delighted to receive the Best Paper Award at the Machine Reading for Question Answering workshop for our paper A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset (by Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, […]

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Learning to answer non-trivial questions: reasoning over knowledge bases with deep learning

While most of today’s question answering (QA) systems have proven adept at responding to simple questions about specific domains or topics, there’s a growing demand for systems that are able to answer questions across multiple, inexact domains and entities. New research from IBM Research’s AI Foundations team proposes how to overcome this challenge by creating […]

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