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SemEval-2007 Task 4

Intra-sentence No Polarity Signal No Strength Signal

SemEval-2007 Task 4 defines seven semantic relations between nominal pairs (including Cause-Effect) mined from web search results and asks systems to classify each pair. Only the Cause-Effect relation subset is used here.

Sentences already carry <e1>/<e2> markers in this project's own marker format, so no re-tagging was needed. The relation's argument order (Cause-Effect(eX,eY)) gives the cause/effect role assignment per sentence — it is not fixed to always be (e2,e1), verified directly (10/140 training sentences use (e1,e2) instead).

Overview

Domain Web
Year 2007
Sentences 220
Granularity Intra-sentence

Tasks & Splits

Task Train Test
Causality Detection — —
Causal Event Candidate Extraction — —
Causality Identification — —
Causality Extraction — —

Citation

[@girju:2007]