66 citations · 104 across the 17 of their papers we have counts for
7 papers · 1 filter
CogALex-V Shared Task: ROOT18
Emmanuele Chersoni, Giulia Rambelli, Enrico Santus
In this paper, we describe ROOT 18, a classifier using the scores of several unsupervised distributional measures as features to discriminate between semantically related and unrel…
Testing APSyn against Vector Cosine on Similarity Estimation
Enrico Santus, Emmanuele Chersoni, Alessandro Lenci +2
In Distributional Semantic Models (DSMs), Vector Cosine is widely used to estimate similarity between word vectors, although this measure was noticed to suffer from several shortco…
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
Emmanuele Chersoni, Enrico Santus, Alessandro Lenci +2
Several studies on sentence processing suggest that the mental lexicon keeps track of the mutual expectations between words. Current DSMs, however, represent context words as separ…
Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs
Enrico Santus, Tin-Shing Chiu, Qin Lu +2
In this paper, we claim that vector cosine, which is generally considered among the most efficient unsupervised measures for identifying word similarity in Vector Space Models, can…
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms
Enrico Santus, Tin-Shing Chiu, Qin Lu +2
In this paper, we describe ROOT13, a supervised system for the classification of hypernyms, co-hyponyms and random words. The system relies on a Random Forest algorithm and 13 unsu…
Nine Features in a Random Forest to Learn Taxonomical Semantic Relations
Enrico Santus, Alessandro Lenci, Tin-Shing Chiu +2
ROOT9 is a supervised system for the classification of hypernyms, co-hyponyms and random words that is derived from the already introduced ROOT13 (Santus et al., 2016). It relies o…
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets
Enrico Santus, Tin-Shing Chiu, Qin Lu +2
In this paper, we claim that Vector Cosine, which is generally considered one of the most efficient unsupervised measures for identifying word similarity in Vector Space Models, ca…