Natural-language processing (NLP)
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Controlling language generation models without training data
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Many popular AI applications — such as machine translation, conversational AI, and question answering — depend on natural-language generation, or producing ...

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Third Conference on Truth and Trust Online open for submissions
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The topics of truth and trust online have grown in importance in recent years, with consequences for millions of people globally. The research community ...

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Amazon’s annual machine learning conference featured presentations from thought leaders within academia
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Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply ...

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How pioneering deep learning is reducing Amazon’s packaging waste
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Finding the right amount of packaging to ship an item can be challenging — and at Amazon, an ever-changing catalog of hundreds of millions of products makes ...

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CAIT announces two new PhD student fellowships and five new faculty research awards
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In February 2021, Columbia Engineering and Amazon announced the initial faculty research award recipients and PhD fellowships for the Columbia Center of AI ...

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Using natural language processing to understand and identify risks
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One of the things that drives Muthu Kumar Chandrasekaran’s interest in science is its potential to benefit society.While pursuing his PhD at the National ...

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Improving unsupervised sentence-pair comparison
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Many tasks in natural-language processing and information retrieval involve pairwise comparisons of sentences — for example, sentence similarity detection, ...

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ACL: What comes next for natural-language processing?
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Kathleen McKeown, the Henry and Gertrude Rothschild Professor of Computer Science at Columbia University and an Amazon Scholar, has a storied history with ...

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Compressing BART models for resource-constrained operation
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Machines hoping to converse convincingly with humans have several natural-language-processing (NLP) skills to master, including text summarization, ...

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Simplifying BERT-based models to increase efficiency, capacity
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In recent years, many of the best-performing models in the field of natural-language processing (NLP) have been built on top of BERT language models. ...

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