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Toward a Computational Multidimensional Lexical Similarity Measure for Modeling Word Association Tasks in Psycholinguistics

2019-06-01 · WS 2019 6 · Bruno Gaume, Lydia Mai Ho-Dac, Ludovic Tanguy, C{\'e}cile Fabre, B{\'e}n{\'e}dicte Pierrejean, Nabil Hathout, J{\'e}r{\^o}me Farinas, Julien Pinquier, Lola Danet, Patrice P{\'e}ran, Xavier De Boissezon, M{\'e}lanie Jucla

This paper presents the first results of a multidisciplinary project, the {``}Evolex{''} project, gathering researchers in Psycholinguistics, Neuropsychology, Computer Science, Natural Language Processing and Linguistics. The Evolex project aims at proposing a new data-based inductive method for automatically characterising the relation between pairs of french words collected in psycholinguistics experiments on lexical access. This method takes advantage of several complementary computational measures of semantic similarity. We show that some measures are more correlated than others with the frequency of lexical associations, and that they also differ in the way they capture different semantic relations. This allows us to consider building a multidimensional lexical similarity to automate the classification of lexical associations.

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Tasks

General Classification Semantic Similarity Semantic Textual Similarity

UMCC\_DLSI: Multidimensional Lexical-Semantic Textual Similarity

2012-07-01 · SEMEVAL 2012 7 · Antonio Fern{\'a}ndez, Yoan Guti{\'e}rrez, H{\'e}ctor D{\'a}vila, Alex Ch{\'a}vez 외

Machine Translation Named Entity Recognition (NER)Natural Language Inference Question Answering+3

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2020-05-01 · LREC 2020 5 · Klaus Hofmann, Anna Marakasova, Andreas Baumann, Julia Neidhardt 외

Most diachronic studies on both lexico-semantic change and political language usage are based on individual or comparable corpora. In this paper, we explore ways of studying the stability (and changeability) of lexical u…

Additive models Time Series Time Series Analysis

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2020-12-09 · Martijn van der Klis, Jos Tellings

This paper reports on the state-of-the-art in application of multidimensional scaling (MDS) techniques to create semantic maps in linguistic research. MDS refers to a statistical technique that represents objects (lexica…

Dimensionality Reduction

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1997-09-20 · Jay J. Jiang, David W. Conrath

This paper presents a new approach for measuring semantic similarity/distance between words and concepts. It combines a lexical taxonomy structure with corpus statistical information so that the semantic distance between…

Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity

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We present three enhancements to existing encoder-decoder models for open-domain conversational agents, aimed at effectively modeling coherence and promoting output diversity: (1) We introduce a measure of coherence as t…

Decoder Diversity