Skill UI

A comprehensive guide for revising NLP and Computational Linguistics manuscripts for submission to top-tier conferences like ACL. It mandates adopting a task-first, evidence-grounded approach, strictly scoping claims in the LLM era, and ensuring linguistic rigor in all examples and analyses. Learn how to structure, compress, and refine your arguments for maximum impact.

A comprehensive guide for authors submitting papers to the ACL conference. It assists in positioning the manuscript, verifying topic fit (NLP, language models, semantics), and ensuring the evidence meets the high standards required for top-tier computational linguistics venues. Covers structure, best practices, and submission checklists.

A comprehensive pre-submission audit guide for authors submitting papers to EACL (Computational Linguistics). It covers critical areas such as adherence to format gates (8/4 content pages, required Limitations section), strict anonymity requirements, mandatory declarations (Responsible NLP, preprint status), and crucial advice regarding the single, non-fallback submission cycle. Use this before uploading to the ACL Rolling Review cycle.

This guide provides a comprehensive strategy for authors submitting NLP and Computational Linguistics papers to EACL. It covers conference positioning, manuscript re-framing from journal or arXiv styles, and establishes rigorous evidence standards. It helps authors ensure their work aligns with the European ACL community focus, optimizing the paper's narrative structure for high acceptance rates.

A comprehensive resource for authors targeting the International Conference on Computational Linguistics (COLING). This guide helps evaluate manuscript suitability, recommend optimal framing, structure contributions, and meet venue-specific evidence standards for top-tier NLP and computational linguistics submissions.

This skill guides authors on how to strategically position their research for the INTERSPEECH conference. It covers core topics such as speech recognition, synthesis, paralinguistics, and audio-language modeling. Use it to re-frame manuscripts from journal or arXiv styles into a selective CS conference narrative, ensuring the work meets the rigorous standards of audio-specific evaluation, datasets, and error analysis expected by the field.

This skill guides authors on positioning and framing manuscripts for the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). It provides detailed advice on core fit, required evidence (e.g., documentation, licensing, annotation reliability), and rhetorical structure needed to ensure a paper resonates with the specialized audience of language resources and computational linguistics.

This skill provides a comprehensive guide for authors submitting theoretical linguistics manuscripts. It ensures the contribution is framework-neutral, highly generalizable, and makes a clear theoretical argument accessible to linguists across diverse subfields (e.g., phonology, syntax, semantics). It acts as a venue selection and framing aid for high-level academic publishing.

This skill guides the structuring of the literature review section for general linguistics journals. Instead of confining the argument to a single subfield, it teaches how to frame the research contribution by engaging with major theoretical debates and rival accounts across diverse linguistic frameworks, thereby maximizing visibility and impact for a broad, expert audience.

This guide details the strict conventions for preparing exhibits in linguistics manuscripts, such as numbered examples, Leipzig-style interlinear glosses, IPA transcriptions, and quantitative data tables. It ensures that academic papers maintain high standards of clarity and rigor for publication, covering everything from morpheme alignment to effective figure alt text.

This guide teaches how to elevate descriptive linguistic data (such as glossed patterns or corpus trends) into robust, theoretically grounded claims. It outlines the necessary structure for presenting an argument with explicit assumptions, testable predictions, and critical engagement with competing theoretical frameworks, moving beyond mere description to achieve genuine theoretical depth.

This skill polishes the prose and ensures the house style of a linguistics manuscript, making it legible to a general audience across diverse subfields and frameworks. It focuses on structuring the argument for clarity, defining jargon, leading with the main claim, and conforming citations to the specific Language Style Sheet, rather than building the core theoretical argument itself.