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. LexIt is the first large-scale resource for Italian in which subcategorization and semantic selec- tion properties are characterized fully on distributional ground: in the paper we describe both the process of data extraction and the evaluation of the subcategorization frames extracted with LexIt
The paper reports on a multi-layered corpus of Italian, annotated at the syntactic and lexico-semant...
We aim to automatically induce a PoS tagset for Italian by analysing the distributional behaviour of...
The paper reports on the design and construction of a multi-layered corpus of Italian, annotated at ...
The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition...
LexIt is a website to explore distributional profiles of Italian nouns, verbs and adjectives. LexIt ...
Lexica of predicate-argument structures constitute a useful tool for several tasks in NLP. This pape...
Verb meanings represent construals of events, lexicalizations of actual happenings in the world: a p...
In this paper, we outline the methodology we adopted to develop a FrameNet for Italian. The main ele...
In this paper, we outline the methodology we adopted to develop a FrameNet for Italian. The main ele...
The goal of this paper is to introduce T-PAS, a resource of typed predicate argument structures for ...
The theoretical characterisation of multiword expressions (MWEs) is tightlyconnected to their actual...
The LE-2111 SPARKLE (Shallow Parsing and Knowledge extraction for Language Engineering) project is ...
We present a methodology for building lexical sets for argument slots of Italian verbs. We start fro...
This paper describes a project that aims to develop a large-size Lexical Knowledge Base (LKB) for th...
International audienceThis paper introduces LexFr, a corpus-based French lexical resource built by a...
The paper reports on a multi-layered corpus of Italian, annotated at the syntactic and lexico-semant...
We aim to automatically induce a PoS tagset for Italian by analysing the distributional behaviour of...
The paper reports on the design and construction of a multi-layered corpus of Italian, annotated at ...
The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition...
LexIt is a website to explore distributional profiles of Italian nouns, verbs and adjectives. LexIt ...
Lexica of predicate-argument structures constitute a useful tool for several tasks in NLP. This pape...
Verb meanings represent construals of events, lexicalizations of actual happenings in the world: a p...
In this paper, we outline the methodology we adopted to develop a FrameNet for Italian. The main ele...
In this paper, we outline the methodology we adopted to develop a FrameNet for Italian. The main ele...
The goal of this paper is to introduce T-PAS, a resource of typed predicate argument structures for ...
The theoretical characterisation of multiword expressions (MWEs) is tightlyconnected to their actual...
The LE-2111 SPARKLE (Shallow Parsing and Knowledge extraction for Language Engineering) project is ...
We present a methodology for building lexical sets for argument slots of Italian verbs. We start fro...
This paper describes a project that aims to develop a large-size Lexical Knowledge Base (LKB) for th...
International audienceThis paper introduces LexFr, a corpus-based French lexical resource built by a...
The paper reports on a multi-layered corpus of Italian, annotated at the syntactic and lexico-semant...
We aim to automatically induce a PoS tagset for Italian by analysing the distributional behaviour of...
The paper reports on the design and construction of a multi-layered corpus of Italian, annotated at ...