会議情報

EACL 2027: Conference of the European Chapter of the Association for Computational Linguistics

会議のウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
新規登録 ログイン
締切カウントダウンバッジを埋め込む
EACL
このデータを API で取得
検索とランキング一覧は資格情報なしで利用できます。このページの詳細データには無料の API キーが必要です。詳しくは開発者向けガイドをご覧ください。
投稿締切日:
2026-08-03
通知日:
2026-11-12
開催日:
2027-03-09
開催地:
Athens, Greece
開催回数:
ICORE: A   閲覧: 21937   フォロー: 19   参加: 0

会伴インデックス (CP-I)

81.6 / 100
全 5,693 件中 第 178 位 · 上位 4%

自然言語処理・音声 分野 85 件中 第 6 位

学術的評価 (35%)
88
投稿の選択性 (20%)
83
開催回数 (20%)
83
コミュニティの注目度 (10%)
49
公開情報の充実度 (15%)
85

使用した入力: 収録ランク：ICORE A · 採択率：26.4%（記録のある 5 回の平均） · 確認できる開催回数：21 · 会伴でフォローしている研究者：19 人 · 過去 24 か月にこのページを開いた研究者：13 人

公開情報で不足しているもの: 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 100% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-04

論文募集

EACL 2027 (Conference of the European Chapter of the Association for Computational Linguistics) is a ICORE A conference held in Athens, Greece on 2027-03-09. The paper submission deadline is 2026-08-03. Acceptance notifications are sent on 2026-11-12.

EACL 2027 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas: Clinical and Biomedical Applications Computational Social Science and Cultural Analytics Dialogue and Interactive Systems Discourse and Pragmatics Efficient Methods for NLP Ethics, Bias, and Fairness Generation Human-Centered NLP and Human-AI Interaction Information Extraction Information Retrieval and Text Mining Interpretability and Analysis of Models for NLP Language Modeling LLM Agents Linguistic Theories, Cognitive Modeling, and Psycholinguistics Machine Learning for NLP Machine Translation Multilingualism and Cross-Lingual NLP Multimodality and Language Grounding to Vision, Robotics and Beyond NLP Applications NLP and Code Models NLP and Symbolic Reasoning Phonology, Morphology, and Word Segmentation Question Answering Resources and Evaluation Semantics: Lexical and Sentence-Level Sentiment Analysis, Stylistic Analysis, and Argument Mining Speech Recognition, Text-to-Speech and Spoken Language Understanding Summarization Syntax: Tagging, Chunking and Parsing EACL 2027 Special Theme: The Human in Language Natural language processing has historically been grounded in the scientific study of human language. Linguistics, psycholinguistics, cognitive science, sociolinguistics, and related disciplines have shaped many of the core concepts underlying NLP, including syntax, semantics, discourse, pragmatics, language acquisition, and communication. Yet, as modern NLP increasingly shifts toward large-scale end-to-end learning and benchmark-driven evaluation, the connection between language technologies and the broader scientific understanding of human language is often becoming less explicit. The EACL 2027 special theme, The Human in Language, invites papers that explore how the human sciences of language can inform and shape NLP research across the full research cycle: model development, representation learning, data collection and annotation, evaluation, interpretability, interaction, and deployment. We particularly encourage work that brings linguistic and cognitive insights into the design and analysis of NLP systems, develops evaluation methodologies grounded in human language behavior and communication, and revisits foundational questions about what language technologies should model and optimize for. At the same time, we also welcome work that uses NLP methods and contemporary language models to advance the scientific study of language, cognition, communication, and the brain. However, the central focus of the track is on strengthening the role of language sciences as a source of scientific grounding, methodological guidance, and conceptual insight for NLP itself. Relevant topics include, but are not limited to: Linguistically informed NLP For example, incorporating linguistic structure, compositionality, pragmatics, discourse, multilinguality, or theories of meaning into model architectures, representations, prompting strategies, or training objectives. Human-centered evaluation and annotation For example, evaluation methodologies grounded in human communication and cognition; human-informed task design; annotation frameworks derived from linguistic or psycholinguistic theory; communicative grounding; and evaluation beyond benchmark-centric notions of performance. Language models and the scientific study of language For example, using NLP models as tools for studying linguistic phenomena, language acquisition, psycholinguistics, discourse, communication, and social interaction; and understanding where current models align with or diverge from human language behavior. Language, the brain, and neuroscience For example, computational models of language processing in the brain; neural and behavioral alignment studies; multimodal studies of language understanding; and NLP methods for studying cognition and communication in naturalistic settings. Language, interaction, and society For example, conversational alignment, communication in social contexts, language and identity, language and emotion, behavioral modeling through language, and the role of language technologies in human-centered applications. Foundations of language and meaning For example, representation of meaning in humans and machines; pragmatics, reference, grounding, ambiguity, context dependence, and philosophical perspectives on language and communication. This special theme is intended to complement the broad scope of EACL while highlighting the continuing importance of language itself, not merely as large-scale training data, but as a deeply human phenomenon central to communication, cognition, and society. We encourage submissions that combine methodological rigor with broader scientific insight, and that help strengthen the dialogue between NLP and the scientific study of human language.
最終更新：Admin Agent （）

採択率

平均採択率: 25.6% 7 年間 (2006–2023).

年投稿数採択数採択率(%)
2023155048231.1%
2021140032623.3%
201744111927%
20143177824.6%
20123168225.9%
200936010027.8%
20062645219.7%

関連会議

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
BTransactions of the Association for Computational LinguisticsThe Association for Computational Linguistics2307-387X
Journal of the Association of Information Systems7.0Association for Information Systems1536-9323
BComputational Linguistics5.3MIT Press0891-2017
The European Journal on Artificial Intelligence1.0IOS Press3050-4554
The International Journal of Advanced Manufacturing Technology3.1Springer0268-3768
BJournal of the Association for Information Science and Technology5.1Wiley2330-1643
The Journal of High Technology Management ResearchElsevier1047-8310
IEEE Letters of the Computer SocietyIEEE2573-9689
IAENG International Journal of Computer ScienceInternational Association of Engineers1819-656X
AIEEE Transactions on Multimedia9.7IEEE1520-9210

コメント 0

まだコメントはありません。

コメントするにはログインしてください