Semantic similarity of text plays an important role in many NLP tasks. It requires using both local information like lexical semantics and structural information like syntactic structures. Recent progress in word representation provides good resources for lexical semantics, and advances in natural language analysis tools make it possible to efficiently generate syntactic and semantic annotation...

Much effort has been put into computational lexicons over the years, and most systems give much room to (lexical) semantic data. However, in these systems, the effort put on the study and representation of lexical items to express the underlying continuum existing in 1) language vagueness and polysemy, and 2) language gaps and mismatches, has remained embryonic. A sense enumeration approach fai...

Lexical and semantic matching capture different successful approaches to text retrieval the fusion of their results has proven be more effective robust than either alone. Prior work performs hybrid by conducting lexical using systems (e.g., Lucene Faiss, respectively) then fusing model outputs. In contrast, our integrates representations with dense densifying high-dimensional into what we call ...

This paper introduces Vignette Semantics, a lexical semantic theory based on Frame Semantics that represents conceptual and graphical relations. We also describe a lexical resource that implements this theory, VigNet, and its application in text-to-scene generation.

Vector space models have been successfully used for lexical semantic representation. Some of these models rely on distributional properties of words in large corpora, and have been contrasted with human performance on semantic similarity and priming in lexical decision tasks. Neural network models of lexical representation have been classically of reduced size due to computational limitations. ...

The present article deals with the Italian lexical-semantic database Simple_PLUS and focuses on its essential core, i.e. the network of lexical semantic relations. This lexical resource builds on Parole-Simple-Clips, a four-layered electronic lexicon of Italian, founded on the SIMPLE model. Simple_PLUS consists of 30,000 semantic entries, partly imported from the source lexicon and partly newly...

Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on complex logical representations. However, practical applications usually adopt shallower lexical or lexical-syntactic representations, but lack a principled inference framework. We propose a generic semantic inference framework that operates direct...

This paper addresses a fundamental problem of derivational morphology: which meanings are possible for the words given morphological category, forms can be chosen to express meaning, and what is role base in these mappings form meaning? In broad empirical study we examine extent two types nominalizations English – conversion nouns - ing either eventive or referential readings, quantified as cou...