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FRAQUE: a FRAme-based QUEstion-answering system for the Public Administration domain
In this paper, we propose FRAQUE, a question answering system for factoid questions in the Public administration domain.
Representing Verbs with Visual Argument Vectors
Is it possible to use images to model verb semantic similarities?
Are Word Embeddings Really a Bad Fit for the Estimation of Thematic Fit?
While neural embeddings represent a popular choice for word representation in a wide variety of NLP tasks, their usage for thematic fit modeling has been limited, as they have been reported to lag behind syntax-based count models.
``Voices of the Great War'': A Richly Annotated Corpus of Italian Texts on the First World War
{``}Voices of the Great War{''} is the first large corpus of Italian historical texts dating back to the period of First World War.
Distributional Semantics Meets Construction Grammar. towards a Unified Usage-Based Model of Grammar and Meaning
In this paper, we propose a new type of semantic representation of Construction Grammar that combines constructions with the vector representations used in Distributional Semantics.
Modeling Violations of Selectional Restrictions with Distributional Semantics
Distributional Semantic Models have been successfully used for modeling selectional preferences in a variety of scenarios, since distributional similarity naturally provides an estimate of the degree to which an argument satisfies the requirement of a given predicate.
SemEval-2018 Task 10: Capturing Discriminative Attributes
This paper describes the SemEval 2018 Task 10 on Capturing Discriminative Attributes.
Logical Metonymy in a Distributional Model of Sentence Comprehension
In theoretical linguistics, logical metonymy is defined as the combination of an event-subcategorizing verb with an entity-denoting direct object (e. g., The author began the book), so that the interpretation of the VP requires the retrieval of a covert event (e. g., writing).
Antonymy and Canonicity: Experimental and Distributional Evidence
Previous studies have showed that some pairs of antonyms are perceived to be better examples of opposition than others, and are so considered representative of the whole category (e. g., Deese, 1964; Murphy, 2003; Paradis et al., 2009).
``Beware the Jabberwock, dear reader!'' Testing the distributional reality of construction semantics
Notwithstanding the success of the notion of construction, the computational tradition still lacks a way to represent the semantic content of these linguistic entities.
The CogALex-V Shared Task on the Corpus-Based Identification of Semantic Relations
The task is split into two subtasks: (i) identification of related word pairs vs. unrelated ones; (ii) classification of the word pairs according to their semantic relation.
Towards a Distributional Model of Semantic Complexity
The composition cost of a sentence depends on the semantic coherence of the event being constructed and on the activation degree of the linguistic constructions.
LexFr: Adapting the LexIt Framework to Build a Corpus-based French Subcategorization Lexicon
This paper introduces LexFr, a corpus-based French lexical resource built by adapting the framework LexIt, originally developed to describe the combinatorial potential of Italian predicates.
Evaluating Context Selection Strategies to Build Emotive Vector Space Models
In this paper we compare different context selection approaches to improve the creation of Emotive Vector Space Models (VSMs).
Italian VerbNet: A Construction-based Approach to Italian Verb Classification
This paper proposes a new method for Italian verb classification -and a preliminary example of resulting classes- inspired by Levin (1993) and VerbNet (Kipper-Schuler, 2005), yet partially independent from these resources; we achieved such a result by integrating Levin and VerbNet{'}s models of classification with other theoretic frameworks and resources.
Crowdsourcing for the identification of event nominals: an experiment
This paper presents the design and results of a crowdsourcing experiment on the recognition of Italian event nominals.
Choosing which to use? A study of distributional models for nominal lexical semantic classification
This paper empirically evaluates the performances of different state-of-the-art distributional models in a nominal lexical semantic classification task.
Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations
The goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs.
LexIt: A Computational Resource on Italian Argument Structure
The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition and exploration of distributional information about Italian verbs, nouns and adjectives, freely available through a web interface at the address http://sesia. humnet. unipi. it/lexit.
Enriching the ISST-TANL Corpus with Semantic Frames
The paper describes the design and the results of a manual annotation methodology devoted to enrich the ISST--TANL Corpus, derived from the Italian Syntactic--Semantic Treebank (ISST), with Semantic Frames information.
