The aim of this paper is to integrate spatial cognition with lexical semantics. We develop cognitive models of actions and events based on conceptual spaces and vectors on them. The models are then used to present a semantic theory of verbs. We propose a two-vector model of events including a force vector and a result vector. We argue that our framework provides a unified account for a multipli...

As part of its description of lexico-semantic predicate frames or conceptual structures, the FrameNet project defines a set of semantic roles specific to the core predicate of a sentence. Recently, researchers have tried to automatically produce semantic interpretations of sentences using this information. Building on prior work, we describe a new method to perform such interpretations. We defi...

In order to answer question, we propose a matching algorithm that consists in generating and learning inferences needed to rely text passages to pairs (question, candidate answer). We first retrieve relevant passages, through lexical expansion involving WordNet and word vectors, that are enriches by lexico-semantic resources. Then a tree edit model is used on graph representations of the passag...

We present a novel approach to solving definite descriptions in unrestricted text based on searching the web for a particular type of lexico-syntactic patterns. Using statistics on these patterns, we intend to recover the antecedents for a predefined subset of definite descriptions occurring in two types of anaphoric relations: identity anaphora and associative anaphora. Preliminary results obt...

We have begun a project to automatically create the lexico-syntactic resources for a microplanner as a side-effect of running a domain-specific language understanding system. The resources are parameterized synchronous TAG Derivation Trees. Since the KB is assembled from the information in the texts that these resources are abstracted from, it will decompose along those same lines when used for...

ÐIn this article we describe a retrieval schema which goes beyond the classical information retrieval keyword hypothesis and takes into account also linguistic variation. Guided by the failures and successes of other state-of-the-art approaches, as well as our own experience with the IRENA system, our approach is based on phrases and incorporates linguistic resources and processors. In this res...

Although meaning is at the core of human cognition, state-of-the-art distributional semantic models (DSMs) are often agnostic to the findings in the area of semantic cognition. In this work, we present a novel type of DSMs motivated by the dual–processing cognitive perspective that is triggered by lexico–semantic activations in the short–term human memory. The proposed model is shown to perform...

We consider the problem of using a bilingual dictionary to transfer lexico-syntactic information from a resource-rich source language to a resource-poor target language. In contrast to past work that used bitexts to transfer analyses of specific sentences at the token level, we instead use features to transfer the behavior of words at a type level. In a discriminative dependency parsing framewo...

We describe two systems for text simplification using typed dependency structures, one that performs lexical and syntactic simplification, and another that performs sentence compression optimised to satisfy global text constraints such as lexical density, the ratio of difficult words, and text length. We report a substantial evaluation that demonstrates the superiority of our systems, individua...

L'Extraction d’Information consiste à identifier de l'information bien précise d'un texte en langue naturelle et à la représenter sous forme structurée. Les composantes de l’information recherchée sont généralement prédéfinies et circonscrites à un domaine spécifique, et les principaux travaux réalisés en matière d’identification de relations sémantiques ont essentiellement concerné les relatio...