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20172024
most citedState-of-the-art generalisation research in NLP: A taxonomy and review

70 citations · 191 across the 21 of their papers we have counts for

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Showing 2022Show all

13 papers · 1 filter

cs.CL2022★ 8 cited

A Measure-Theoretic Characterization of Tight Language Models

Li Du, Lucas Torroba Hennigen, Tiago Pimentel +3

Language modeling, a central task in natural language processing, involves estimating a probability distribution over strings. In most cases, the estimated distribution sums to 1 o…

cs.CL2022

A Natural Bias for Language Generation Models

Clara Meister, Wojciech Stokowiec, Tiago Pimentel +3

After just a few hundred training updates, a standard probabilistic model for language generation has likely not yet learnt many semantic or syntactic rules of natural language, ma…

cs.CL2022

The Architectural Bottleneck Principle

Tiago Pimentel, Josef Valvoda, Niklas Stoehr +1

In this paper, we seek to measure how much information a component in a neural network could extract from the representations fed into it. Our work stands in contrast to prior prob…

cs.CL2022★ 4 cited

On the Effect of Anticipation on Reading Times

Tiago Pimentel, Clara Meister, Ethan G. Wilcox +2

Over the past two decades, numerous studies have demonstrated how less predictable (i.e., higher surprisal) words take more time to read. In general, these studies have implicitly…

cs.CL2022★ 70 cited

State-of-the-art generalisation research in NLP: A taxonomy and review

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers +17

The ability to generalise well is one of the primary desiderata of natural language processing (NLP). Yet, what 'good generalisation' entails and how it should be evaluated is not…

cs.FL2022

On the Intersection of Context-Free and Regular Languages

Clemente Pasti, Andreas Opedal, Tiago Pimentel +3

The Bar-Hillel construction is a classic result in formal language theory. It shows, by a simple construction, that the intersection of a context-free language and a regular langua…