メインコンテンツに移動

Quants see promise in DeBerta’s untangled reading

Improved language models are able to grasp context better

a set of tangled threads of yarn, untangling to the right

Context, as they say, is everything – which is a big problem for investors when they try to use so-called large language models to weigh the sentiment of financial news. The models are notorious for misreading terms that could be either good or bad depending on what’s being talked about at the time.

A few methods have been tried to solve the problem, mostly using the idea that models can look at

コンテンツを印刷またはコピーできるのは、有料の購読契約を結んでいるユーザー、または法人購読契約の一員であるユーザーのみです。

これらのオプションやその他の購読特典を利用するには、info@risk.net にお問い合わせいただくか、こちらの購読オプションをご覧ください: http://subscriptions.risk.net/subscribe

現在、このコンテンツをコピーすることはできません。詳しくはinfo@risk.netまでお問い合わせください。

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

無料メンバーシップの内容をお知りになりたいですか?ここをクリック

パスワードを表示
パスワードを非表示にする

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

ログイン
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here