TREC Conference Submission Assistant
Evaluates manuscript fit, evidence standards, and submission framing for the NIST Text REtrieval Conference (TREC).
The Text REtrieval Conference (TREC) skill assists computer science researchers and information retrieval practitioners in calibrating manuscripts for NIST-style benchmarking and evaluation campaigns. It analyzes submission fit, identifies missing empirical baselines or test collection requirements, guides shared-task paper framing, and prevents common desk-rejection traps. By distinguishing TREC's evaluation campaign focus from research-centric venues like SIGIR, ECIR, or CIKM, this skill helps authors effectively structure their contributions, adhere to venue-specific norms, and make smart conference routing decisions.
Características Principales
01Evaluates manuscript fit for TREC evaluation tracks, shared tasks, and search benchmarks
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03Provides pre-submission checklist verification against NIST author kits and CFP requirements
04Offers intelligent paper re-routing recommendations to ACL, EMNLP, or domain-specific conferences
05Differentiates TREC campaign paper requirements from research venues like SIGIR and ECIR
06Diagnoses empirical evidence gaps, pooling assumptions, and baseline rigor
Casos de Uso
01Assessing whether a retrieval manuscript belongs at TREC versus SIGIR, CIKM, or ECIR
02Auditing experimental baselines, error analysis, and evaluation metrics before submission
03Framing a paper around a TREC shared evaluation track or new test collection