1 ABSTRACT The success of online question answering communities that allow humans to answer questions posed by other humans has opened up a whole new set of search, browse and clustering problems. One of the important problems arises from the need to show similar and related questions for a particular “probe” question. The first exercise is to define a measure for similarity and relatedness tha...

Lexical resources are machine-readable dictionaries or lists of words, where semantic relationships between the terms are somehow expressed. These lexical resources have been used for many tasks such as word sense disambiguation and determining semantic similarity between terms. In recent years some research has been put into automatically building lexical resources from large corpora. In this ...

Abstract Representations from artificial neural network (ANN) language models have been shown to predict human brain activity in the network. To understand what aspects of linguistic stimuli contribute ANN-to-brain similarity, we used an fMRI dataset responses n = 627 naturalistic English sentences (Pereira et al., 2018) and systematically manipulated for which ANN representations were extracte...

Visual word recognition studies commonly measure the orthographic similarity of words using Coltheart's orthographic neighborhood size metric (ON). Although ON reliably predicts behavioral variability in many lexical tasks, its utility is inherently limited by its relatively restrictive definition. In the present article, we introduce a new measure of orthographic similarity generated using a s...

Over the last decade researchers have devised algorithms that can provide similarity measures between pairs of face images. These have been somewhat successful in estimating the similarities between face images under controlled conditions. However, those similarity measures do not parallel subjective similarity, as perceived by humans. In some applications it i s important to have a similarity ...

This paper proposes a method for measuring semantic similarity between words as a new tool for text analysis. The similarity is measured on a semantic network constructed systematically from a subset of the English dictionary, LDOCE (Longman Dictionary of Contemporary English). Spreading activation on the network can directly compute the similarity between any two words in the Longman De ning V...

Previous studies of adult bilinguals have shown that cognates (translation equivalents similar in sound and spelling) are translated faster than non-cognates and different representations for the two categories in bilingual memory have been suggested (Kroll and Stewart 1994, van Hell and de Groot 1998). Assuming that bilingual children's representations are similar to those of adults, effects o...

We present in this paper the systems we participated with in the Semantic Textual Similarity task at SEM 2013. The Semantic Textual Similarity Core task (STS) computes the degree of semantic equivalence between two sentences where the participant systems will be compared to the manual scores, which range from 5 (semantic equivalence) to 0 (no relation). We combined multiple text similarity meas...