[B! 自然言語処理] R2Mのブックマーク

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class="centerarticle-entry-title"> <a href="{{url}}" class="js-clickable-link js-keyboard-openable" target="_blank" rel="noopener{{#noreferrer}} noreferrer{{/noreferrer}}" data-gtm-click-label="user-bookmark-title"><img class="centerarticle-entry-favicon" src="{{favicon_url}}" alt="">{{title}}</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="{{page_url}}" class="js-keyboard-entry-page-openable" title="{{title}} ({{total_bookmarks}}ブックマーク)" data-gtm-click-label="user-bookmark-users">{{total_bookmarks_with_user_postfix}}</a> </span> </li> <li> <a href="/R2M/{{url_query}}" title="『{{root_title}}』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> {{root_title}} </a> </li> {{#is_categorized}} <li><a href="{{category_path}}" data-gtm-click-label="user-bookmark-category">{{category_title}}</a></li> {{/is_categorized}} </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">{{{summary_with_keyword_links}}}</p> {{#has_image}} <a href="{{canonical_url}}" class="centerarticle-entry-image" target="_blank" rel="noopener{{#noreferrer}} noreferrer{{/noreferrer}}" data-gtm-click-label="user-bookmark-thumb"> <img src="{{image_url}}" alt="{{title}}"> </a> {{/has_image}} </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-{{location_id}}"> <div class="centerarticle-reaction-comment js-user-bookmark-comment {{badge_icon}}" data-url="{{url}}" data-user-name="{{author_name}}"> <a href="{{top_page_path}}" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="{{profile_icon_url}}" alt="{{author_name}}" title="{{author_name}}" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="{{anchor_url}}" class="js-anchor-path" data-gtm-click-label="user-reaction-username">{{author_name}}</a></span> <span class="centerarticle-reaction-timestamp">{{created}}</span> <span class="js-private-icon status {{#is_public}}is-hidden{{/is_public}}"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment">{{{comment_expanded}}}</span> <ul class="centerarticle-reaction-tags js-tag-text"> {{#tags}} <li><a href="/{{author_name}}/{{escaped_label}}/" data-gtm-click-label="user-reaction-tag">{{label}}</a></li> {{/tags}} </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="{{#is_bookmark}}comment-permalink{{/is_bookmark}}{{^is_bookmark}}original-permalink{{/is_bookmark}} js-comment-permalink"> <a href="{{comment_page_path}}" data-gtm-click-label="user-reaction-permalink" rel="{{#should_nofollow}}nofollow{{/should_nofollow}}">{{#is_bookmark}}リスト{{/is_bookmark}}{{^is_bookmark}}リンク{{/is_bookmark}}</a> </span> <span class="list-star-container js-list-star-container"></span> <span class="twitter-click js-short-url-clicks"></span> </div> <ul class="centerarticle-reaction-menu"> <li class="js-add-star-container add-star-container"></li> </ul> </div> </div> </div> </div> <ul class="centerarticle-reaction-following js-user-following-bookmarks-icon"> {{#following_bookmarks}} <li> <a href="{{anchor_url}}" class="following-bookmark-link" data-gtm-click-label="user-bookmark-following-bookmarker-icon"> <img src="{{profile_icon_url}}" alt="{{author_name}}" class="following-bookmark-icon" > </a> <span class="following-bookmark-popup"> <span class="following-bookmark-username">{{author_name}}</span><span class="following-bookmark-timestamp">{{created}}</span> <span class="following-bookmark-text"> {{ #comment }}<span class="following-bookmark-comment">{{ comment }}</span>{{ /comment }} <ul class="following-bookmark-tags"> {{ #tags }}<li>{{ label }}</li>{{ /tags }} </ul> </span> </span> </li> {{/following_bookmarks}} {{#following_bookmarks.length}} <li class="centerarticle-reaction-following-more"><button type="button" class="js-show-all-following-bookmarks" data-gtm-click-label="user-bookmark-showall-following-bookmarks">すべて表示</button></li> {{/following_bookmarks.length}} </ul> <div class="js-user-following-bookmarks-detail is-hidden"> {{#following_bookmarks}} <div class="centerarticle-reaction-comment js-user-bookmark-comment {{badge_icon}}" data-url="{{url}}" data-user-name="{{author_name}}"> <a href="{{top_page_path}}" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="{{profile_icon_url}}" alt="{{author_name}}" title="{{author_name}}" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="{{anchor_url}}" class="js-anchor-path" data-gtm-click-label="user-reaction-username">{{author_name}}</a></span> <span class="centerarticle-reaction-timestamp">{{created}}</span> <span class="js-private-icon status {{#is_public}}is-hidden{{/is_public}}"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment">{{{comment_expanded}}}</span> <ul class="centerarticle-reaction-tags js-tag-text"> {{#tags}} <li><a href="/{{author_name}}/{{escaped_label}}/" data-gtm-click-label="user-reaction-tag">{{label}}</a></li> {{/tags}} </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="{{#is_bookmark}}comment-permalink{{/is_bookmark}}{{^is_bookmark}}original-permalink{{/is_bookmark}} js-comment-permalink"> <a href="{{comment_page_path}}" data-gtm-click-label="user-reaction-permalink" rel="{{#should_nofollow}}nofollow{{/should_nofollow}}">{{#is_bookmark}}リスト{{/is_bookmark}}{{^is_bookmark}}リンク{{/is_bookmark}}</a> </span> <span class="list-star-container js-list-star-container"></span> <span class="twitter-click js-short-url-clicks"></span> </div> <ul class="centerarticle-reaction-menu"> <li class="js-add-star-container add-star-container"></li> </ul> </div> </div> </div> {{/following_bookmarks}} </div> </li> {{/is_wiped}} </script> <script type="text/x-template" id="template-following-bookmarker-icon"> <li> <a href="{{anchor_url}}" class="following-bookmark-link" data-gtm-click-label="user-bookmark-following-bookmarker-icon"> <img src="{{profile_icon_url}}" alt="{{author_name}}" class="following-bookmark-icon" > </a> <span class="following-bookmark-popup"> <span class="following-bookmark-username">{{author_name}}</span><span class="following-bookmark-timestamp">{{created}}</span> <span class="following-bookmark-text"> {{ #comment }}<span class="following-bookmark-comment">{{ comment }}</span>{{ /comment }} <ul class="following-bookmark-tags"> {{ #tags }}<li>{{ label }}</li>{{ /tags }} </ul> </span> </span> </li> </script> <script type="text/x-template" id="template-bookmark-item-editor"> <div class="centerarticle-entry {{#has_image}}is-image-entry-unit{{/has_image}}"> <h3 class="centerarticle-entry-title"> <a href="{{url}}" class="js-clickable-link js-keyboard-openable" target="_blank" rel="noopener{{#noreferrer}} noreferrer{{/noreferrer}}" data-gtm-click-label="user-bookmark-title"><img class="centerarticle-entry-favicon" src="{{favicon_url}}" alt="">{{title}}</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="{{page_url}}" class="js-keyboard-entry-page-openable" title="{{title}} ({{total_bookmarks}}ブックマーク)" data-gtm-click-label="user-bookmark-users">{{total_bookmarks_with_user_postfix}}</a> </span> </li> <li> <a href="/R2M/{{url_query}}" title="『{{root_title}}』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> {{root_title}} </a> </li> {{#is_categorized}} <li><a href="{{category_path}}" data-gtm-click-label="user-bookmark-category">{{category_title}}</a></li> {{/is_categorized}} </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">{{{summary_with_keyword_links}}}</p> {{#has_image}} <a href="{{canonical_url}}" class="centerarticle-entry-image" target="_blank" rel="noopener{{#noreferrer}} noreferrer{{/noreferrer}}" data-gtm-click-label="user-bookmark-thumb"> <img src="{{image_url}}" alt="{{title}}"> </a> {{/has_image}} </div> </div> </script> <script type="text/x-template" id="template-bookmark-pager"> <li> <div class="centerarticle-pager"> <span class="centerarticle-waiting js-read-more-waiting is-hidden"><img src="https://b.st-hatena.com/21bb37de101e3d895eac61554a1ca07012b63961/images/v4/public/common/loading@2x.gif" alt="残りのブックマークを読み込んでいます" width="16" height="16" /></span> {{#previous}} <a href="{{page_path}}">{{label}}</a> {{/previous}} {{#pages}} {{#page_path}} <span><a href="{{page_path}}">{{label}}</a></span> {{/page_path}} {{^page_path}} <span>{{label}}</span> {{/page_path}} {{/pages}} {{#next}} <a href="{{page_path}}">{{label}}</a> {{/next}} </div> </li> </script> <ul class="js-user-bookmark-item-list js-keyboard-controllable-container"> <li class="bookmark-item js-user-bookmark-item js-intent-share-bookmark" data-target-url="https://spjai.com/text-segmentation/"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://spjai.com/text-segmentation/" class="js-clickable-link js-keyboard-openable" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-title"><img class="centerarticle-entry-favicon" src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fspjai.com%2Ftext-segmentation%2F" alt="">Kuromoji（形態素解析）を２分で使えるようにする方法（Java）</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/spjai.com/text-segmentation/" class="js-keyboard-entry-page-openable" title="Kuromoji（形態素解析）を２分で使えるようにする方法（Java） (11ブックマーク)" data-gtm-click-label="user-bookmark-users">11 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fspjai.com%2F" title="『spjai.com』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> spjai.com </a> </li> <li><a href="/hotentry/it" data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">※サンプル・コード掲載あらすじ自然言語処理関連の<a data-gtm-click-label="entry-summary-keyword" href="/q/%E4%BB%95%E4%BA%8B">仕事</a>をする中、絶対に切り離せないのが<a data-gtm-click-label="entry-summary-keyword" href="/q/%E5%BD%A2%E6%85%8B%E7%B4%A0%E8%A7%A3%E6%9E%90">形態素解析</a>です。特に、<a data-gtm-click-label="entry-summary-keyword" href="/q/Java">Java</a>、<a data-gtm-click-label="entry-summary-keyword" href="/q/Python">Python</a>で使用する事が多いので、ここに記しておきます。 <a data-gtm-click-label="entry-summary-keyword" href="/q/Java">Java</a>でMeCabをセットアップすると大変ですが、Kuromojiだと使うまでに３分もかからないはずです。使用した環境 <a data-gtm-click-label="entry-summary-keyword" href="/q/Windows">Windows</a> or <a data-gtm-click-label="entry-summary-keyword" href="/q/mac">Mac</a>を仮定Eclipse（Neon3）を使用<a data-gtm-click-label="entry-summary-keyword" href="/q/Java">Java</a>8.X を使用 Kuromojiを使用するための設定（１分以内）＊EclipseでのMaven<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%83%97%E3%83%AD%E3%82%B8%E3%82%A7%E3%82%AF%E3%83%88">プロジェクト</a>の作成方法等は、<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>記事の範囲外として割愛させて頂きます。 pom.xmlファイルへの依存関係の追加 Kuromojiのリポジトリの追加 <repos<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>ories> <repos<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>ory> <id>Atilika Open Source repos<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>ory</id> <url>http://www.ati</p> <a href="https://spjai.com/text-segmentation/" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/f4bb3d2c186edcb9c5f9e142bd4f2a69114623a7/height=288;version=1;width=512/https%3A%2F%2Fspjai.com%2Fwp-content%2Fuploads%2F2017%2F07%2Ftext-segmentation.jpg" alt="Kuromoji（形態素解析）を２分で使えるようにする方法（Java）"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-342736595"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://spjai.com/text-segmentation/" data-user-name="R2M"> <a href="/R2M/" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="https://cdn.profile-image.st-hatena.com/users/R2M/profile.png" alt="R2M" title="R2M" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="https://b.hatena.ne.jp/R2M/20240906#bookmark-342736595" class="js-anchor-path" data-gtm-click-label="user-reaction-username">R2M</a></span> <span class="centerarticle-reaction-timestamp">2024/09/06</span> <span class="js-private-icon status is-hidden"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment"></span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a href="/R2M/%E5%BD%A2%E6%85%8B%E7%B4%A0%E8%A7%A3%E6%9E%90/" data-gtm-click-label="user-reaction-tag">形態素解析</a></li> <li><a href="/R2M/%E8%87%AA%E7%84%B6%E8%A8%80%E8%AA%9E%E5%87%A6%E7%90%86/" data-gtm-click-label="user-reaction-tag">自然言語処理</a></li> </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/342736595/comment/R2M" data-gtm-click-label="user-reaction-permalink" rel="nofollow">リンク</a> </span> <span class="list-star-container js-list-star-container"></span> <span class="twitter-click js-short-url-clicks"></span> </div> <ul class="centerarticle-reaction-menu"> <li class="js-add-star-container add-star-container"></li> </ul> </div> </div> </div> </div> <ul class="centerarticle-reaction-following js-user-following-bookmarks-icon"> </ul> <div class="js-user-following-bookmarks-detail is-hidden"> </div> </li> <li class="bookmark-item js-user-bookmark-item js-intent-share-bookmark" data-target-url="https://note.com/kan_hatakeyama/n/nf5b102271f82"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://note.com/kan_hatakeyama/n/nf5b102271f82" class="js-clickable-link js-keyboard-openable" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-title"><img class="centerarticle-entry-favicon" src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fnote.com%2Fkan_hatakeyama%2Fn%2Fnf5b102271f82" alt="">CommonCrawlの生データをダウンロードして解析する練習｜Kan Hatakeyama</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/note.com/kan_hatakeyama/n/nf5b102271f82" class="js-keyboard-entry-page-openable" title="CommonCrawlの生データをダウンロードして解析する練習｜Kan Hatakeyama (3ブックマーク)" data-gtm-click-label="user-bookmark-users">3 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fnote.com%2Fkan_hatakeyama" title="『note.com/kan_hatakeyama』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> note.com/kan_hatakeyama </a> </li> <li><a href="/hotentry/it" data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">はじめに大規模言語の事前学習には、Webデータを片っ端からダウンロードしたサイト(Co<a data-gtm-click-label="entry-summary-keyword" href="/q/MMO">mmo</a>nC<a data-gtm-click-label="entry-summary-keyword" href="/q/RAW">raw</a>l, CC)が大活躍します。普通はCCを使いやすい形で加工したコーパスを用いるのですが、今回は生データにアクセスして解析してみました。ファイルをダウンロードする兎にも角にも、ファイルをダウンロードすることから作業が始まります。 URLリストを取得するまずは上記CCのサイトにアクセスし、どの年のデータをダウンロードしたいか選択します。次に、warc.path.gzをダウンロードします。こちらには各データへのURL一覧が格納されています。備考: WARC,WAT,WETとは?「warc」、「wat」、「wet」という用語は、Co<a data-gtm-click-label="entry-summary-keyword" href="/q/MMO">mmo</a>n C<a data-gtm-click-label="entry-summary-keyword" href="/q/RAW">raw</a>lのコンテキストで使用されるファイル形式を指します。Co<a data-gtm-click-label="entry-summary-keyword" href="/q/MMO">mmo</a>n C<a data-gtm-click-label="entry-summary-keyword" href="/q/RAW">raw</a>lは、インターネットの広範囲にわたるウェブページをクロールし、その</p> <a href="https://note.com/kan_hatakeyama/n/nf5b102271f82" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/dccf73aa2a3db73bf86335781512bc6a4f996c3d/height=288;version=1;width=512/https%3A%2F%2Fd2l930y2yx77uc.cloudfront.net%2Fproduction%2Fsocial_images%2F246cdf9d39ea7545b1858bba2ebe66de2bb39db2.png" alt="CommonCrawlの生データをダウンロードして解析する練習｜Kan Hatakeyama"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4750283180408559136"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://note.com/kan_hatakeyama/n/nf5b102271f82" data-user-name="R2M"> <a href="/R2M/" data-gtm-click-label="user-reaction-usericon" class="centerarticle-reaction-thumb"> <img src="https://cdn.profile-image.st-hatena.com/users/R2M/profile.png" alt="R2M" title="R2M" class="centerarticle-reaction-image"> </a> <div class="centerarticle-reaction-main"> <span class="centerarticle-reaction-username"><a href="https://b.hatena.ne.jp/R2M/20240403#bookmark-4750283180408559136" class="js-anchor-path" data-gtm-click-label="user-reaction-username">R2M</a></span> <span class="centerarticle-reaction-timestamp">2024/04/03</span> <span class="js-private-icon status is-hidden"><img src="/images/v4/public/userpage/icon-private.svg" alt="非公開" width="10px" height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment"></span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a 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class="bookmark-item js-user-bookmark-item js-intent-share-bookmark" data-target-url="https://zenn.dev/turing_motors/articles/6e0ac9deb2d2e5"> <div class="centerarticle-entry is-image-entry-unit"> <h3 class="centerarticle-entry-title"> <a href="https://zenn.dev/turing_motors/articles/6e0ac9deb2d2e5" class="js-clickable-link js-keyboard-openable" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-title"><img class="centerarticle-entry-favicon" src="https://cdn-ak2.favicon.st-hatena.com/64?url=https%3A%2F%2Fzenn.dev%2Fturing_motors%2Farticles%2F6e0ac9deb2d2e5" alt="">作って遊ぼう！LLMを搭載した君だけのV&Lモデル！</a> </h3> <ul class="centerarticle-entry-data"> <li> <span class="centerarticle-users"> <a href="/entry/s/zenn.dev/turing_motors/articles/6e0ac9deb2d2e5" class="js-keyboard-entry-page-openable" title="作って遊ぼう！LLMを搭載した君だけのV&Lモデル！ (84ブックマーク)" data-gtm-click-label="user-bookmark-users">84 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fzenn.dev%2Fturing_motors" 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data-gtm-click-label="user-bookmark-domain"> qiita.com/yakigac </a> </li> <li><a href="/hotentry/it" data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary">この記事を読むと嬉しいこと言語の壁を越えた、グローバル<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">AI</a>を作れます！ = GPTに<a data-gtm-click-label="entry-summary-keyword" href="/q/%E8%8B%B1%E8%AA%9E">英語</a>と日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>語、<a data-gtm-click-label="entry-summary-keyword" href="/q/%E4%B8%AD%E5%9B%BD">中国</a>語、フランス語…の情報をまとめてインプットし、質問に答えさせることが出来ます！ """「Harry Potter（<a data-gtm-click-label="entry-summary-keyword" href="/q/%E8%8B%B1%E8%AA%9E">英語</a>）」と「<a data-gtm-click-label="entry-summary-keyword" href="/q/%E3%81%BC%E3%81%A3%E3%81%A1%E3%83%BB%E3%81%96%E3%83%BB%E3%82%8D%E3%81%A3%E3%81%8F%EF%BC%81">ぼっち・ざ・ろっく！</a>」の情報をまとめて与えた後で質問をした時の回答""" # before index.query("ハリーの学校では、何を教えている？日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>語で答えて") # -> ハリーの学校では、何を教えているかは不明です。 # after index.query("ハリーの学校では、何を教えている？日<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%9C%AC">本</a>語で答えて") # -> ハリーの学校では、魔法と魔法使いの学問を教えています。背景・課題今大人気のGPTに、外部情報を繋ぐGPT Indexが物凄い勢いで使われています。一方で、この仕組みを無邪気に使おうとすると、<a data-gtm-click-label="entry-summary-keyword" href="/q/openai">OpenAI</a>に課金しまくることになり、お</p> <a href="https://qiita.com/yakigac/items/d350ec3c94f2c640c3cf" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img 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height="10px"></span> <div class="centerarticle-reaction-main-comment-tags"> <span class="js-comment"></span> <ul class="centerarticle-reaction-tags js-tag-text"> <li><a href="/R2M/%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92/" data-gtm-click-label="user-reaction-tag">機械学習</a></li> <li><a href="/R2M/%E8%87%AA%E7%84%B6%E8%A8%80%E8%AA%9E%E5%87%A6%E7%90%86/" data-gtm-click-label="user-reaction-tag">自然言語処理</a></li> </ul> </div> <div class="centerarticle-reaction-foot"> <div class="centerarticle-reaction-meta"> <span class="comment-permalink js-comment-permalink"> <a href="/entry/4731809105356499620/comment/R2M" data-gtm-click-label="user-reaction-permalink" rel="nofollow">リンク</a> </span> <span class="list-star-container js-list-star-container"></span> <span class="twitter-click js-short-url-clicks"></span> </div> <ul class="centerarticle-reaction-menu"> <li class="js-add-star-container add-star-container"></li> </ul> </div> </div> </div> </div> <ul class="centerarticle-reaction-following 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hppRC/bert-classification-tutorial: 【2023年版】BERTによるテキスト分類 (65ブックマーク)" data-gtm-click-label="user-bookmark-users">65 users</a> </span> </li> <li> <a href="/R2M/?url=https%3A%2F%2Fgithub.com%2FhppRC" title="『github.com/hppRC』の新着エントリー" data-gtm-click-label="user-bookmark-domain"> github.com/hppRC </a> </li> <li><a href="/hotentry/it" data-gtm-click-label="user-bookmark-category">テクノロジー</a></li> </ul> <div class="centerarticle-entry-contents"> <p class="centerarticle-entry-summary"><a data-gtm-click-label="entry-summary-keyword" href="/q/google">Google</a>が2018年に発表したBERTは、その性能の高さや利便性から、今やあらゆる自然言語処理タスクで汎用的に用いられるようになっています。 BERTは事前学習済み言語モデル (Pretr<a data-gtm-click-label="entry-summary-keyword" href="/q/ai">ai</a>ned Language Model) と呼ばれるモデルの一種で、大量のテキストで事前にモデルの学習をおこなっておくことで、様々なタスクに利用できる言語知識を獲得しています。この言語知識を転用することで、多様なタスクについて、今までよりも少ない学習データで非常に高い性能を発揮できることがわかっています。 BERTをテキスト分類などのタスクに適用する際は、BERTを微調整(fine-tuning)することでタスクを解きます。例えば、ある<a data-gtm-click-label="entry-summary-keyword" href="/q/%E6%98%A0%E7%94%BB">映画</a>のレビューが好意的(pos<a data-gtm-click-label="entry-summary-keyword" href="/q/it">it</a>ive)か否定的(negative)かを分類するタスクを考えると、微調整の流れは以下のようになります。レビューテキストを事前学</p> <a href="https://github.com/hppRC/bert-classification-tutorial" class="centerarticle-entry-image" target="_blank" rel="noopener" data-gtm-click-label="user-bookmark-thumb"> <img src="https://cdn-ak-scissors.b.st-hatena.com/image/square/c87fc2d05eb00169894970519689a277e634c6b4/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Fbb7524e89d730800e389fae0e2729c170c71eedfe17035b7a690335e5b10c1b5%2FhppRC%2Fbert-classification-tutorial" alt="GitHub - hppRC/bert-classification-tutorial: 【2023年版】BERTによるテキスト分類"> </a> </div> </div> <div class="centerarticle-reaction js-user-bookmark-id-container" id="bookmark-4730913716408551460"> <div class="centerarticle-reaction-comment js-user-bookmark-comment " data-url="https://github.com/hppRC/bert-classification-tutorial" data-user-name="R2M"> <a 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