Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Extraction: Advanced Methods00:56

Extraction: Advanced Methods

1.2K
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
1.2K
Parseval's Theorem01:18

Parseval's Theorem

1.2K
Parseval's theorem is a fundamental concept in signal processing and harmonic analysis. It asserts that for a periodic function, the average power of the signal over one period equals the sum of the squared magnitudes of all its complex Fourier coefficients. This theorem, named after Marc-Antoine Parseval, provides a powerful tool for analyzing the energy distribution in signals.
Interestingly, Parseval's theorem also holds for the trigonometric form of the Fourier series, which expresses a...
1.2K
Affinity and Avidity01:41

Affinity and Avidity

39.4K
Overview
39.4K
Deductive Reasoning01:16

Deductive Reasoning

70.4K
Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
70.4K
The Representativeness Heuristic02:13

The Representativeness Heuristic

16.9K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
16.9K
Aggregates Classification01:29

Aggregates Classification

1.1K
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
1.1K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Tumour-macrophage crosstalk initiated by NFIC/METTL3 negative feedback loop via exosomal miR-194-5p promotes NSCLC progression.

Clinical and translational medicine·2026
Same author

Optimal surgical timing following neoadjuvant chemoradiotherapy in patients with rectal cancer: a systematic review and network meta-analysis.

American journal of translational research·2026
Same author

The dialogue between breast cancer and microorganisms.

Frontiers in cellular and infection microbiology·2026
Same author

Study on latent sweat fingermark visualization on typical combustible substrates after instantaneous thermal exposure.

Forensic science international·2026
Same author

Prognostic nomogram for extensive-stage small-cell lung cancer in the immunotherapy era: a multicenter study of first-line platinum-etoposide with or without a PD-1/PD-L1 inhibitor.

Translational lung cancer research·2026
Same author

Dual-Gene CRISPR Editing via Peptide Dendrimers Regulates Redox Balance for Diabetic Wound Repair.

Biomacromolecules·2026
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
関連記事をすべて見る

関連する実験動画

Updated: Feb 24, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.4K

関係抽出におけるインスタンス適応型述語記述

Yuhang Jiang1, Ramakanth Kavuluru1

  • 1Division of Biomedical Informatics, Department of Internal Medicine University of Kentucky, Lexington, KY, USA.

AMIA ... Annual Symposium proceedings. AMIA Symposium
|February 23, 2026
PubMed
まとめ
この要約は機械生成です。

この研究では、関係抽出（RE）のための新しいデュアルエンコーダーアーキテクチャを紹介し、バイオメディカルおよび一般データセットでのパフォーマンスを向上させます。新しいモデルは、共同対照およびクロスエントロピー損失を使用して、最先端の結果を1〜2％改善します。

キーワード:
関係抽出デュアルエンコーダー対照損失クロスエントロピー損失自然言語処理

さらに関連する動画

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K

関連する実験動画

Last Updated: Feb 24, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
11:09

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

Published on: July 17, 2021

3.4K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

9.3K
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.6K

科学分野:

  • 自然言語処理
  • 情報抽出
  • 機械学習

背景:

  • 関係抽出（RE）は、知識発見と質問応答にとって重要です。
  • デコーダーのみのモデルが生成タスクで優れているにもかかわらず、小さなエンコーダーモデルがREに好まれます。
  • 既存の方法では、述語表現に固定線形層が使用されることがよくあります。

研究 の 目的:

  • 新しいデュアルエンコーダーアーキテクチャを使用して関係抽出パフォーマンスを向上させる。
  • インスタンス固有の述語表現を計算する方法を開発する。
  • REタスクのために小さなエンコーダーモデルのファインチューニングを強化する。

主な方法:

  • 共同対照およびクロスエントロピー損失を備えた新しいデュアルエンコーダーアーキテクチャが開発されました。
  • 2番目のエンコーダーは、エンティティスパンを組み込むことによってインスタンス固有の述語表現を計算します。
  • 2つのバイオメディカルおよび2つの一般ドメインREデータセットで実験が実施されました。

主要な成果:

  • 提案手法は、最先端手法と比較してF1スコアを1〜2％向上させました。
  • デュアルエンコーダーアーキテクチャは、バイオメディカルおよび一般データセットの両方で優れたパフォーマンスを示しました。
  • アブレーション研究により、アーキテクチャコンポーネントの効果が確認されました。

結論:

  • 新しいデュアルエンコーダーアーキテクチャは、関係抽出のためのシンプルでありながら効果的なアプローチを提供します。
  • インスタンス固有の述語表現は、REパフォーマンスを大幅に向上させます。
  • この方法は、情報抽出タスクに貴重な進歩を提供します。