ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology
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Abstract (arXiv)
The ACL Anthology is an online repository that serves as a comprehensive collection of publications in the field of natural language processing (NLP) and computational linguistics (CL). This paper presents a tool called ``ACL Anthology Helper''. It automates the process of parsing and downloading papers along with their meta-information, which are then stored in a local MySQL database. This allows for efficient management of the local papers using a wide range of operations, including "where," "group," "order," and more. By providing over 20 operations, this tool significantly enhances the retrieval of literature based on specific conditions. Notably, this tool has been successfully utilised in writing a survey paper (Tang et al.,2022a). By introducing the ACL Anthology Helper, we aim to enhance researchers' ability to effectively access and organise literature from the ACL Anthology. This tool offers a convenient solution for researchers seeking to explore the ACL Anthology's vast collection of publications while allowing for more targeted and efficient literature retrieval.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 15 references that are in the map. First posted on arXiv 31 Oct 2023.
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References · 14
- 2021OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metricscited by 61
- 2021Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherencecited by 45
- 2023Effective Distillation of Table-based Reasoning Ability from LLMscited by 23
- 2022EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attentioncited by 17
- 2023TwistList: Resources and Baselines for Tongue Twister Generationcited by 16
- 2023Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregationcited by 16
- 2022Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generationcited by 15
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- 2022NGEP: A Graph-based Event Planning Framework for Story Generationcited by 13
- 2022Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semanticscited by 10
- 2023Improving Medical Dialogue Generation with Abstract Meaning Representationscited by 10
- 2023Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Paperscited by 9
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