技能 人工智能 SIGDIAL会议投稿定位与策略

SIGDIAL会议投稿定位与策略

v20260724
sigdial-conference-on-discourse-and-dialogue
本技能为目标投稿SIGDIAL会议的作者提供专业指导。它帮助作者评估对话系统论文是否适合该顶会,指导如何重构论文叙事、强化实验证据,并理解对话、话语结构等核心领域的要求,从而提高投稿的命中率和学术定位的准确性。
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SIGDIAL Conference on Discourse and Dialogue (SIGDIAL)

Conference positioning

SIGDIAL Conference on Discourse and Dialogue (SIGDIAL) is a top computer-science conference venue for dialogue, discourse, conversational agents, interaction, evaluation, and spoken/written communication. It rewards a dialogue paper with interaction-aware evaluation rather than isolated text-generation examples. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

  • The author names SIGDIAL / SIGDIAL Conference on Discourse and Dialogue as the target venue.
  • A manuscript in dialogue needs a conference-fit read before being formatted or submitted.
  • The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
  • The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

  • Core fit: dialogue, discourse, conversational agents, interaction, evaluation, and spoken/written communication.
  • Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
  • The paper should explain why the result matters to SIGDIAL's reviewers, not just why it is interesting to the authors' lab or product context.
  • Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
  • If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

  • Reviewer lens: Treat SIGDIAL as a dialogue systems venue whose reviewers expect the scope and evidence to match its own community. Do not submit a generic CS paper until the introduction names the exact subcommunity, contribution type, and proof or empirical standard.
  • Contribution hook to foreground: the venue-specific contribution bar.
  • Scope vocabulary to use naturally in the abstract and introduction: dialogue, discourse, conversational agents, interaction, evaluation, and spoken/written communication.
  • Distinctive fingerprint for reviewer calibration: dialogue, discourse, conversational, agents, interaction, evaluation, spoken, written, communication, venue-specific, contribution, sigdial.
  • Official anchor domain: www.sigdial.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

  • Use this profile only when the manuscript's central contribution is genuinely in dialogue systems and the author can say why SIGDIAL reviewers are the primary audience, not merely a convenient deadline.
  • Closest roster neighbors to compare before final routing: european-chapter-of-the- association-for-computational-linguistics (EACL), international-natural-language- generation-conference (INLG), joint-international-conference-on-computational-linguistics- language-resources-and-evaluation (LREC-COLING), starsem-conference-on-computational- semantics (*SEM). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from www.sigdial.org.

What distinguishes this venue from its closest siblings

  • What SIGdial is. The SIGdial venue for discourse and dialogue (NLP) — dialogue systems, conversational modeling, discourse structure.
  • Real neighbors. ACL / EMNLP / NAACL (NLP family) and IEEE SLT (spoken dialogue) — not systems/storage venues.
  • Routing. Send conversational-AI/discourse work here; general NLP to the ACL family.

SIGDIAL-specific routing detail

  • Prefer SIGDIAL when the contribution is dialogue state, turn-taking, discourse structure, spoken/written interaction, conversational evaluation, or user-facing agent behavior.
  • Route storage/file-system reliability and persistence work to FAST; route generic generation without interaction structure to INLG or ACL-family venues.
  • SIGDIAL evidence should evaluate conversation-level behavior, interaction breakdowns, dialogue policy, annotation reliability, and human or simulated-user protocol.

Method & evidence bar

  • Build the artifact or prototype far enough that the core design can be measured under realistic workloads.
  • Use appropriate baselines, sensitivity analyses, and workload characterization; systems reviewers look for hidden bottlenecks.
  • Separate engineering effort from research contribution: name the abstraction, mechanism, or tradeoff.
  • For SIGDIAL, the evidence must support the venue-specific signature: a dialogue paper with interaction-aware evaluation rather than isolated text-generation examples.
  • Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

  • Start from a systems pain point and show why existing abstractions fail.
  • Use evaluation sections that answer research questions, not a tour of every benchmark run.
  • Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
  • The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
  • Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

  • Open the live official venue page: https://www.sigdial.org/
  • Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
  • Confirm the review workflow and portal: ARR/START/ACL Rolling Review or the current ACL-family submission portal, plus ACLPUB formatting when applicable.
  • Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence states why this manuscript belongs at SIGDIAL, using the venue's scope rather than generic "top conference" language.
  • The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
  • Related work includes the nearest current-cycle dialogue systems papers and explains the technical delta.
  • The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
  • The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

  • Toy implementation or microbenchmark-only evidence for a systems claim.
  • No comparison to mature systems or no explanation of deployment constraints.
  • Performance gains with unclear workload representativeness.
  • Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
  • A contribution framed for a neighboring field while giving SIGDIAL reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses SIGDIAL's bar, compare against acm-symposium-on-operating-systems-principles / usenix-symposium-on-operating-systems-design-and-implementation / usenix-symposium-on-networked-systems-design-and-implementation / acm-sigcomm. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] SIGDIAL Conference on Discourse and Dialogue (SIGDIAL)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>
信息
Category 人工智能
Name sigdial-conference-on-discourse-and-dialogue
版本 v20260724
大小 9.22KB
更新时间 2026-07-29
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