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Shrome at Touché: Soft-Vote Ensembling and Counter-Causal Augmentation for Causality Extraction

Paper recorded by Signals 4 on 2026-10-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.CL · 自然语言处理 · first seen 2026-10-05

Abstract

Touché 2026 extends causality extraction to counter-causal claims: news sentences whose surface form appears causal but whose meaning denies the causation, as in "It is falsely believed that X caused Y." A system that relies on surface cues such as "caused" or "led to" will accept such a sentence as causal and give it the wrong polarity. On the Countercausal News Corpus (CCNC), the task has three

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#349 most recent of 660 cs.CL papers we have recorded · ↑ newer: To Jev or Not? Evaluating the Accuracy and Efficiency of Structured De · ↓ older: AutoCompact: Learning When to Compact Context in Long-Horizon Coding A
Cite this page: Shrome at Touché: Soft-Vote Ensembling and Counter-Causal Augmentation for Causality Extraction: the #349 most recent of 660 cs.CL papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/shrome-at-touch-soft-vote-ensembling-and-counter-causal-augmentation-for-causali.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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