Despite dramatic recent progress, natural language generation remains an iffy proposition. Even users of the muscular GPT-2 text generator have to press the button a number of times to get sensible output. But researchers are figuring out how to exert greater control over generated text.
Not long ago, text-to-speech systems could read only a sentence at a time, and they were ranked according to their ability to accomplish that limited task. Now that they can orate entire books, we need new benchmarks.
The latest language models are great at answering questions about a given text passage. However, these models are also powerful enough to recognize an individual writer’s style, which can clue them in to the right answers. New research measures such annotator bias in several data sets.
Not long ago, text-to-speech systems could read only a sentence at a time, and they were ranked according to their ability to accomplish that limited task. Now that they can orate entire books, we need new benchmarks.
The latest language models are great at answering questions about a given text passage. However, these models are also powerful enough to recognize an individual writer’s style, which can clue them in to the right answers. New research measures such annotator bias in several data sets.
Companies with large numbers of contractual relationships may leave millions of dollars on the table because it’s not practical to customize each agreement. A new startup offers a chatbot designed to claw back that money.
Models that achieve state-of-the-art performance in automatic speech recognition (ASR) often perform poorly on nonstandard speech. New research offers methods to make ASR more useful to users with heavy accents or speech impairment.
Models that achieve state-of-the-art performance in automatic speech recognition (ASR) often perform poorly on nonstandard speech. New research offers methods to make ASR more useful to users with heavy accents or speech impairment.
Companies with large numbers of contractual relationships may leave millions of dollars on the table because it’s not practical to customize each agreement. A new startup offers a chatbot designed to claw back that money.
Watson set a high bar for language understanding in 2011, when it famously whipped human competitors in the televised trivia game show Jeopardy! IBM’s special-purpose AI required around $1 billion. Research suggests that today’s best language models can accomplish similar tasks right off the shelf.
Watson set a high bar for language understanding in 2011, when it famously whipped human competitors in the televised trivia game show Jeopardy! IBM’s special-purpose AI required around $1 billion. Research suggests that today’s best language models can accomplish similar tasks right off the shelf.
OpenAI raised eyebrows in February when it announced — and withheld — the full version of its groundbreaking language model, GPT-2. Six months later, the company has re-examined the decision.
A growing number of companies that sell standardized tests are using natural language processing to assess writing skills. Critics contend that these language models don’t make the grade.
OpenAI raised eyebrows in February when it announced — and withheld — the full version of its groundbreaking language model, GPT-2. Six months later, the company has re-examined the decision.
A growing number of companies that sell standardized tests are using natural language processing to assess writing skills. Critics contend that these language models don’t make the grade.
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