CLFeb 4, 2015

INRIASAC: Simple Hypernym Extraction Methods

arXiv:1502.01271v225 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for automated taxonomy construction in natural language processing, but it is incremental as it builds on simple heuristics.

The paper tackled the problem of automatically structuring domain terms into a taxonomy without manual intervention, achieving first place in the SemEval 2015 benchmark.

Given a set of terms from a given domain, how can we structure them into a taxonomy without manual intervention? This is the task 17 of SemEval 2015. Here we present our simple taxonomy structuring techniques which, despite their simplicity, ranked first in this 2015 benchmark. We use large quantities of text (English Wikipedia) and simple heuristics such as term overlap and document and sentence co-occurrence to produce hypernym lists. We describe these techniques and pre-sent an initial evaluation of results.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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