Challenge: Vossian Antonomasia is a stylistic device which attributes a property to a person by naming another person as a reference point.
Approach: They propose a method for the extraction of Vossian Antonomasias that works completely automatically . they use named entity recognition, distant supervision and a bi-directional LSTM .
Outcome: The proposed method outperforms the only existing semi-automatic method for VA identification by more than 30 percentage points in precision.

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A Gold Standard for Multilingual Automatic Term Extraction from Comparable Corpora: Term Structure and Translation Equivalents (L18-1)

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Challenge: Terms are notoriously difficult to identify, both automatically and manually.
Approach: They propose a method to annotate terms manually from a comparable corpus . they show that the gold standard provides a tool for evaluation and a rich source of information .
Outcome: The proposed method provides a tool for evaluation and rich source of information about terms.
Predicting Degrees of Technicality in Automatic Terminology Extraction (2020.acl-main)

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Challenge: a recent study has focused on term technicality, but there are still few studies on it.
Approach: They semi-automatically create a German gold standard of technicality across four domains . they propose two new models to exploit general- vs. domain-specific comparisons based on vector spaces .
Outcome: The proposed model outperforms previous methods in terms of general- vs. domain-specific comparisons.
Leveraging Domain Corpora for Enhanced Terminology: The Case of Estonian-English Remote Sensing Termbase (2024.lrec-main)

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Challenge: Termbase is a domain corpora and terminological database for remote sensing in Estonia.
Approach: They propose to develop an Estonian-English Remote Sensing Termbase from scratch . they use the Estonian Remote Sensenting Corpus 2022 as the primary data source .
Outcome: The Estonian Remote Sensing Corpus 2022 served as the primary data source for the termbase.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (2023.acl-demo)

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Challenge: 58 papers were selected for inclusion in the program, while a small number received only two reviews.
Approach: the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) will be held in london from July 9-14, 2023 . 58 submissions were selected for inclusion in the program, with an acceptance rate of 37%)
Outcome: the system demonstration track received a record number of submissions . 58 papers were selected for inclusion in the program .
Annotation and Automatic Classification of Aspectual Categories (P19-1)

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Challenge: Annotated resource for aspectual classification of German verb tokens in context.
Approach: They present a resource for aspectual classification of German verb tokens in their clausal context.
Outcome: The proposed resource is compared with previous work on German verb tokens using aspectual features compatible with the plurality of aspectual classifications.
Findings of the Association for Computational Linguistics: EMNLP 2025 (2025.findings-emnlp)

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Challenge: null
Approach: null
Outcome: null
A database of German definitory contexts from selected web sources (L18-1)

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Challenge: a specialized web corpus and robust pattern-based extraction methods are used to detect definitory contexts.
Approach: They propose to use a web corpus and a database to detect definitory contexts . they describe an experimental setting and front-end for pattern-based definition extraction .
Outcome: The proposed method is based on a web corpus and a robust pattern-based extraction method.
Transactions of the Association for Computational Linguistics, Volume 8 (2020.tacl-1)

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Challenge: null
Approach: null
Outcome: null
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (2024.acl-demos)

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Challenge: ACL 2024 System Demonstration Track invites submissions describing system demonstrations . submissions will undergo a single-blind review process .
Approach: the ACL 2024 System Demonstration Track invites submissions . papers will be published in a companion volume of the conference proceedings . submissions will undergo a single-blind review process .
Outcome: the Demonstration Track at ACL 2024 is a venue for papers describing system demonstrations . publicly available open-source or open-access systems are of special interest . submissions will undergo a single-blind review process .
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations) (2026.acl-demo)

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Challenge: ACL 2026 System Demonstration Track accepted 85 papers . one paper received Best Demo award .
Approach: the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) took place from July 2-7, 2026 in San Diego, California.
Outcome: the ACL 2026 System Demonstration Track accepted 85 papers based on the submitted reviews . one paper received the best demo award: The olmOCR Project: Building Fully Open OCR using VLMs .

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