AHyDA: Automatic Hypernym Detection with Feature Augmentation
نویسندگان
چکیده
English. Several unsupervised methods for hypernym detection have been investigated in distributional semantics. Here we present a new approach based on a smoothed version of the distributional inclusion hypothesis. The new method is able to improve hypernym detection after testing on the BLESS dataset. Italiano. Sulla base dei metodi non supervisionati presenti in letteratura, affrontiamo il task di riconoscimento di iperonimi nello spazio distribuzionale. Introduciamo una nuova misura direzionale, basata su un’espansione dell’ipotesi di inclusione distribuzionale, che migliora il riconoscimento degli iperonimi, testandola sul dataset BLESS.
منابع مشابه
LT3: A Multi-modular Approach to Automatic Taxonomy Construction
This paper describes our contribution to the SemEval-2015 task 17 on “Taxonomy Extraction Evaluation”. We propose a hypernym detection system combining three modules: a lexico-syntactic pattern matcher, a morphosyntactic analyzer and a module retrieving hypernym relations from structured lexical resources. Our system ranked first in the competition when considering the gold standard and manual ...
متن کاملDistributional Lexical Entailment by Topic Coherence
Automatic detection of lexical entailment, or hypernym detection, is an important NLP task. Recent hypernym detection measures have been based on the Distributional Inclusion Hypothesis (DIH). This paper assumes that the DIH sometimes fails, and investigates other ways of quantifying the relationship between the cooccurrence contexts of two terms. We consider the top features in a context vecto...
متن کاملA Combined Pattern-based and Distributional Approach for Automatic Hypernym Detection in Dutch
This paper proposes a two-step approach to find hypernym relations between pairs of noun phrases in Dutch text. We first apply a pattern-based approach that combines lexical and shallow syntactic information to extract a list of candidate hypernym pairs from the input text. In a second step, distributional similarity information is used to filter the obtained list of candidate pairs. Evaluation...
متن کاملAutomatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI
Background: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prostate lesions detection and characterization.Objective: The purpose of this study is to investigate spatiotemporal patterns of tumors by extracting semi-quantitative as well as w...
متن کاملA New Approach towards Precise Planar Feature Characterization Using Image Analysis of FMI Image: Case Study of Gachsaran Oil Field Well No. 245, South West of Iran
Formation micro imager (FMI) can directly reflect changes of wall stratums and rock structures. Conventionally, FMI images mainly are analyzed with manual processing, which is extremely inefficient and incurs a heavy workload for experts. Iranian reservoirs are mainly carbonate reservoirs, in which the fractures have an important effect on permeability and petroleum production. In this paper, a...
متن کامل