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07/06/2023
Agentività e telicità in GilBERTo: implicazioni cognitive
The goal of this study is to investigate whether a Transformer-based neu...
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03/01/2023
Understanding Natural Language Understanding Systems. A Critical Analysis
The development of machines that «talk like us», also known as Natural L...
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12/02/2022
Event knowledge in large language models: the gap between the impossible and the unlikely
People constantly use language to learn about the world. Computational l...
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11/08/2022
Word Order Matters when you Increase Masking
Word order, an essential property of natural languages, is injected in T...
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09/21/2022
Subject Verb Agreement Error Patterns in Meaningless Sentences: Humans vs. BERT
Both humans and neural language models are able to perform subject-verb ...
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04/19/2022
Probing for the Usage of Grammatical Number
A central quest of probing is to uncover how pre-trained models encode a...
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04/14/2022
Does BERT really agree ? Fine-grained Analysis of Lexical Dependence on a Syntactic Task
Although transformer-based Neural Language Models demonstrate impressive...
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07/22/2021
Did the Cat Drink the Coffee? Challenging Transformers with Generalized Event Knowledge
Prior research has explored the ability of computational models to predi...
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05/20/2021
A comprehensive comparative evaluation and analysis of Distributional Semantic Models
Distributional semantics has deeply changed in the last decades. First, ...
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06/17/2019
A Structured Distributional Model of Sentence Meaning and Processing
Most compositional distributional semantic models represent sentence mea...
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10/03/2017
Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics?
Despite the number of NLP studies dedicated to thematic fit estimation, ...
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07/19/2017
Measuring Thematic Fit with Distributional Feature Overlap
In this paper, we introduce a new distributional method for modeling pre...
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08/27/2016
Testing APSyn against Vector Cosine on Similarity Estimation
In Distributional Semantic Models (DSMs), Vector Cosine is widely used t...
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07/07/2016
Representing Verbs with Rich Contexts: an Evaluation on Verb Similarity
Several studies on sentence processing suggest that the mental lexicon k...
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03/30/2016
Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs
In this paper, we claim that vector cosine, which is generally considere...
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03/29/2016
ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms
In this paper, we describe ROOT13, a supervised system for the classific...
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03/29/2016
Nine Features in a Random Forest to Learn Taxonomical Semantic Relations
ROOT9 is a supervised system for the classification of hypernyms, co-hyp...
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03/29/2016
