Beyond Metadata: What Paper Authors Say About Corpora They Use (2021.findings-acl)
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| Challenge: | Currently, dataset retrieval relies almost exclusively on metadata provided by the publishers. |
| Approach: | They propose to use metadata to extract review statements from scientific publications . they argue that a crucial piece of information is missing to inform the examination of search results . |
| Outcome: | The proposed analysis is the first of its kind in the field of Natural Language Processing. |
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| Challenge: | Summarization corpora are numerous but fragmented, making it difficult to pinpoint corporata best suited for a given summarization task. |
| Approach: | They propose a repository containing corpora available to train and evaluate automatic summarization systems. |
| Outcome: | The proposed system is based on a repository of corpora available for summarization tasks. |
To Boldly Query What No One Has Annotated Before? The Frontiers of Corpus Querying (2020.acl-main)
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| Challenge: | a systematic review of corpora and query tools focuses on the query side . annotated corporata are the backbone of many fields in linguistics . |
| Approach: | They propose a chronology of the major interplay between corpus progression and query tool evolution . they focus on the query side and hints at exciting directions for future development . |
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The ACL OCL Corpus: Advancing Open Science in Computational Linguistics (2023.emnlp-main)
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| Challenge: | ACL OCL is a scholarly corpus derived from the ACL Anthology . it provides metadata, PDF files, citation graphs and additional structured full texts . |
| Approach: | They present ACL OCL, a scholarly corpus derived from the ACL Anthology . it integrates metadata, PDF files, citation graphs and additional structured full texts . they highlight how it applies to observe trends in computational linguistics . |
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A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery (2020.lrec-1)
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| Challenge: | Recent studies have proposed to take advantage of the scientific paper's citation network to approach literature summarization. |
| Approach: | They propose to annotate related work sections, cite papers and sentences using machine readable data and an additional layer of papers citing the references. |
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The State and Fate of Summarization Datasets: A Survey (2025.naacl-long)
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| Challenge: | Summarization is the task of shortening a text while preserving the most important information it contains. |
| Approach: | They propose a novel ontology covering sample properties, collection methods and distribution covering sample characteristics, collection method and distribution. |
| Outcome: | The proposed ontology covers sample properties, collection methods and distribution, and can be used to streamline future research into a more coherent body of work. |
SciPar: A Collection of Parallel Corpora from Scientific Abstracts (2022.lrec-1)
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Dimitrios Roussis, Vassilis Papavassiliou, Prokopis Prokopidis, Stelios Piperidis, Vassilis Katsouros
| Challenge: | SciPar is a collection of parallel corpora created from openly available metadata of bachelor theses, master theses and doctoral dissertations hosted in institutional repositories, digital libraries and national archives. |
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Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus (2021.emnlp-main)
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Jesse Dodge, Maarten Sap, Ana Marasović, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner
| Challenge: | Large text corpora are often introduced with minimal documentation . documenting collection process, composition, intended uses, and other are key for structured, task-specific datasets. |
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Enriching a Lexicon of Discourse Connectives with Corpus-based Data (L18-1)
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| Challenge: | Existing annotation efforts for multiple languages have focused on discourse connectives, but we have limited it to the class of connectives marking contrast and the additional relations such connectives might convey. |
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S2ORC: The Semantic Scholar Open Research Corpus (2020.acl-main)
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| Challenge: | Academic papers are an increasingly important textual domain for natural language processing (NLP) research. |
| Approach: | They propose to aggregate 81.1M English-language academic papers into a unified source . they hope this resource will facilitate research and development of tools for text mining over academic text. |
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Quality Does Matter: A Detailed Look at the Quality and Utility of Web-Mined Parallel Corpora (2024.eacl-long)
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| Challenge: | Existing web-mined corpora for low-resource languages have serious quality issues, especially for lowresource language pairs. |
| Approach: | They ranked each corpus according to a similarity measure and evaluated different portions of this ranked corpus. |
| Outcome: | The results show that the quality of web-mined corpora for low-resource languages is significantly different from human-curated corporats. |