:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Pimentel, Tiago, Maudslay, Rowan Hall, Blasi, Damián, Cotterell, Ryan
Formato:	Preprint
Publicado:	2020
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2010.02172
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ChainNet: Structured Metaphor and Metonymy in WordNet
por: Maudslay, Rowan Hall, et al.
Publicado: (2024)

Investigating Critical Period Effects in Language Acquisition through Neural Language Models
por: Constantinescu, Ionut, et al.
Publicado: (2024)

Locally Typical Sampling
por: Meister, Clara, et al.
Publicado: (2022)

Probing for the Usage of Grammatical Number
por: Lasri, Karim, et al.
Publicado: (2022)

On the Efficacy of Sampling Adapters
por: Meister, Clara, et al.
Publicado: (2023)

Analyzing Wrap-Up Effects through an Information-Theoretic Lens
por: Meister, Clara, et al.
Publicado: (2022)

Testing the Predictions of Surprisal Theory in 11 Languages
por: Wilcox, Ethan Gotlieb, et al.
Publicado: (2023)

Efficiently Computing Susceptibility to Context in Language Models
por: Liu, Tianyu, et al.
Publicado: (2024)

Context-Free Recognition with Transformers
por: Jerad, Selim, et al.
Publicado: (2026)

How Persuasive is Your Context?
por: Nguyen, Tu, et al.
Publicado: (2025)

Characterizing the Expressivity of Local Attention in Transformers
por: Li, Jiaoda, et al.
Publicado: (2026)

Exact Hard Monotonic Attention for Character-Level Transduction
por: Wu, Shijie, et al.
Publicado: (2019)

Low-Resource Named Entity Recognition with Cross-Lingual, Character-Level Neural Conditional Random Fields
por: Cotterell, Ryan, et al.
Publicado: (2024)

Cross-lingual, Character-Level Neural Morphological Tagging
por: Cotterell, Ryan, et al.
Publicado: (2017)

Characterizing the Expressivity of Fixed-Precision Transformer Language Models
por: Li, Jiaoda, et al.
Publicado: (2025)

On the Role of Context in Reading Time Prediction
por: Opedal, Andreas, et al.
Publicado: (2024)

The Causal Influence of Grammatical Gender on Distributional Semantics
por: Stańczak, Karolina, et al.
Publicado: (2023)

Transformers Can Represent $n$-gram Language Models
por: Svete, Anej, et al.
Publicado: (2024)

What Do Language Models Learn in Context? The Structured Task Hypothesis
por: Li, Jiaoda, et al.
Publicado: (2024)

Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation
por: Vargas, Francisco, et al.
Publicado: (2020)

Towards Explainability in Legal Outcome Prediction Models
por: Valvoda, Josef, et al.
Publicado: (2024)

Bearing Syntactic Fruit with Stack-Augmented Neural Networks
por: DuSell, Brian, et al.
Publicado: (2025)

How to Compute the Probability of a Word
por: Pimentel, Tiago, et al.
Publicado: (2024)

Context versus Prior Knowledge in Language Models
por: Du, Kevin, et al.
Publicado: (2024)

A Simple Joint Model for Improved Contextual Neural Lemmatization
por: Malaviya, Chaitanya, et al.
Publicado: (2019)

Hard Non-Monotonic Attention for Character-Level Transduction
por: Wu, Shijie, et al.
Publicado: (2018)

Assessing the Performance Gap Between Lexical and Semantic Models for Information Retrieval With Formulaic Legal Language
por: Mori, Larissa, et al.
Publicado: (2025)

An Algebraic View of the Expressivity of Recurrent Language Models
por: Nowak, Franz, et al.
Publicado: (2026)

Context-Aware Semantic Recomposition Mechanism for Large Language Models
por: Katrix, Richard, et al.
Publicado: (2025)

Rethinking Metrics for Lexical Semantic Change Detection
por: Goworek, Roksana, et al.
Publicado: (2026)

Analyzing Semantic Change through Lexical Replacements
por: Periti, Francesco, et al.
Publicado: (2024)

Controllable Context Sensitivity and the Knob Behind It
por: Minder, Julian, et al.
Publicado: (2024)

On the Emergence of Induction Heads for In-Context Learning
por: Musat, Tiberiu, et al.
Publicado: (2025)

Log-linear Guardedness and its Implications
por: Ravfogel, Shauli, et al.
Publicado: (2022)

A Distributional Perspective on Word Learning in Neural Language Models
por: Ficarra, Filippo, et al.
Publicado: (2025)

Structured Voronoi Sampling
por: Amini, Afra, et al.
Publicado: (2023)

Improving Interpretability of Lexical Semantic Change with Neurobiological Features
por: Oda, Kohei, et al.
Publicado: (2026)

On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning
por: Nowak, Franz, et al.
Publicado: (2024)

Unique Hard Attention: A Tale of Two Sides
por: Jerad, Selim, et al.
Publicado: (2025)

AG-LSEC: Audio Grounded Lexical Speaker Error Correction
por: Paturi, Rohit, et al.
Publicado: (2024)