INRIASAC: Simple Hypernym Extraction Methods

2015-02-04 · SEMEVAL 2015 6 · Gregory Grefenstette

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.

📄 PDF Abstract BibTeX arXiv:1502.01271

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Tasks

Sentence

Improving Hypernymy Extraction with Distributional Semantic Classes

2017-11-08 · LREC 2018 5 · Alexander Panchenko, Dmitry Ustalov, Stefano Faralli, Simone P. Ponzetto 외

In this paper, we show how distributionally-induced semantic classes can be helpful for extracting hypernyms. We present methods for inducing sense-aware semantic classes using distributional semantics and using these in…

Denoising

Negative Sampling Improves Hypernymy Extraction Based on Projection Learning

2017-07-12 · EACL 2017 4 · Dmitry Ustalov, Nikolay Arefyev, Chris Biemann, Alexander Panchenko

We present a new approach to extraction of hypernyms based on projection learning and word embeddings. In contrast to classification-based approaches, projection-based methods require no candidate hyponym-hypernym pairs.…

General Classification Relation Extraction Word Embeddings

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection

2017-10-02 · NAACL 2018 6 · Haw-Shiuan Chang, ZiYun Wang, Luke Vilnis, Andrew McCallum

Modeling hypernymy, such as poodle is-a dog, is an important generalization aid to many NLP tasks, such as entailment, coreference, relation extraction, and question answering. Supervised learning from labeled hypernym s…

Hypernym Discovery Question Answering Relation Extraction

Evaluation of Automatic Hypernym Extraction from Technical Corpora in English and Dutch

2014-05-01 · LREC 2014 5 · Els Lefever, Marjan Van de Kauter, V{\'e}ronique Hoste

In this research, we evaluate different approaches for the automatic extraction of hypernym relations from English and Dutch technical text. The detected hypernym relations should enable us to semantically structure auto…

Morphological Analysis

Unsupervised Sense-Aware Hypernymy Extraction

2018-09-17 · Dmitry Ustalov, Alexander Panchenko, Chris Biemann, Simone Paolo Ponzetto

In this paper, we show how unsupervised sense representations can be used to improve hypernymy extraction. We present a method for extracting disambiguated hypernymy relationships that propagates hypernyms to sets of syn…