activity
20092021
most citedUniversal Complex Structures in Written Language

14 citations · 16 across the 4 of their papers we have counts for

collaborators
Showing cs.CLShow all

9 papers · 1 filter

cs.CL2021

Does referent predictability affect the choice of referential form? A computational approach using masked coreference resolution

Laura Aina, Xixian Liao, Gemma Boleda +1

It is often posited that more predictable parts of a speaker's meaning tend to be made less explicit, for instance using shorter, less informative words. Studying these dynamics in…

cs.CL2020

Deep daxes: Mutual exclusivity arises through both learning biases and pragmatic strategies in neural networks

Kristina Gulordava, Thomas Brochhagen, Gemma Boleda

Children's tendency to associate novel words with novel referents has been taken to reflect a bias toward mutual exclusivity. This tendency may be advantageous both as (1) an ad-ho…

cs.CL2019

Putting words in context: LSTM language models and lexical ambiguity

Laura Aina, Kristina Gulordava, Gemma Boleda

In neural network models of language, words are commonly represented using context-invariant representations (word embeddings) which are then put in context in the hidden layers. S…

cs.CL2019

Don't Blame Distributional Semantics if it can't do Entailment

Matthijs Westera, Gemma Boleda

Distributional semantics has had enormous empirical success in Computational Linguistics and Cognitive Science in modeling various semantic phenomena, such as semantic similarity,…

cs.CL2019

What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue

Laura Aina, Carina Silberer, Matthijs Westera +2

Humans use language to refer to entities in the external world. Motivated by this, in recent years several models that incorporate a bias towards learning entity representations ha…

cs.CL2019

Distributional Semantics and Linguistic Theory

Gemma Boleda

Distributional semantics provides multi-dimensional, graded, empirically induced word representations that successfully capture many aspects of meaning in natural languages, as sho…