Work

The LAMBADA dataset: Word prediction requiring a broad discourse context

Year: 2016

Type: conference-paper

Abstract: Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Ngoc Quan Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernández. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/p16-1144

Authors: Denis Paperno, Germán Kruszewski, Angeliki Lazaridou, Ngoc Quan Pham, Raffaella Bernardi, Sandro Pezzelle, Marco Baroni, Gemma Boleda, Raquel Fernandez

Institutions: University of Trento, University of Amsterdam

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: Nvidia, European Commission, Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Awards: Linking Objects to Vectors in distributional semantics: A framework to anchor corpus-based meaning representations to the external world, G2275620189, G434337789, Asymmetry in Conversation

OpenAlex ID: W2473344385

FWCI: 5.923

Cites: 15

Cited by: 87

Related to: 20