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Neural language models trained with a predictive or masked objective have proven successful at capturing short and long distance syntactic dependencies. Here, we focus on verb argument structure in German, which has the interesting property…

Computation and Language · Computer Science 2021-03-05 Charlotte Rochereau , Benoît Sagot , Emmanuel Dupoux

Contextualized word embeddings in language models have given much advance to NLP. Intuitively, sentential information is integrated into the representation of words, which can help model polysemy. However, context sensitivity also leads to…

Computation and Language · Computer Science 2022-08-23 Yile Wang , Yue Zhang

Two natural decision problems regarding the XML query language XQuery are well-definedness and semantic type-checking. We study these problems in the setting of a relational fragment of XQuery. We show that well-definedness and semantic…

Databases · Computer Science 2007-05-23 Jan Van den Bussche , Dirk Van Gucht , Stijn Vansummeren

We consider the linear wave equation with the time-dependent scale-invariant damping and mass. We also treat the corresponding equation with the energy critical nonlinearity. Our aim is to show that the solution scatters to a modified…

Analysis of PDEs · Mathematics 2020-04-20 Takahisa Inui , Haruya Mizutani

The simplest Lorentz-nonreciprocal medium has the constitutive relations (${\bf D} =\epso {\bf E} -{\bf \Gamma}\times {\bf H}$ and ${\bf B} =\muo {\bf H} + {\bf \Gamma}\times{\bf E}$). Scattering by a three-dimensional object composed of…

It is shown that order-invariance of two-variable first-logic is decidable in the finite. This is an immediate consequence of a decision procedure obtained for the finite satisfiability problem for existential second-order logic with two…

Logic in Computer Science · Computer Science 2016-04-21 Thomas Zeume , Frederik Harwath

We study scattered piecewise interpretable Hilbert spaces from a model theoretic point of view. We establish strong connections between the Hilbert space structure theorems of [Chevalier Hrushovski 2021] and the model theoretic notions of…

Logic · Mathematics 2022-09-13 Alexis Chevalier

We study the fluted fragment of first-order logic which is often viewed as a multi-variable non-guarded extension to various systems of description logics lacking role-inverses. In this paper we show that satisfiable fluted sentences (even…

Logic in Computer Science · Computer Science 2024-12-02 Daumantas Kojelis

We consider the cyclic closure of a language, and its generalisation to the operators $C^k$ introduced by Brandst\"adt. We prove that the cyclic closure of an indexed language is indexed, and that if $L$ is a context-free language then…

Formal Languages and Automata Theory · Computer Science 2015-01-06 Tara Brough , Laura Ciobanu , Murray Elder

We establish theoretical guarantees for the expected prediction error of the exponential weighting aggregate in the case of multivariate regression that is when the label vector is multidimensional. We consider the regression model with…

Statistics Theory · Mathematics 2018-06-26 Arnak S. Dalalyan

In this work, we leverage the linear algebraic structure of distributed word representations to automatically extend knowledge bases and allow a machine to learn new facts about the world. Our goal is to extract structured facts from…

Computation and Language · Computer Science 2015-11-24 Lisa Seung-Yeon Lee

We describe and experimentally evaluate a method for automatically clustering words according to their distribution in particular syntactic contexts. Deterministic annealing is used to find lowest distortion sets of clusters. As the…

cmp-lg · Computer Science 2008-02-03 Fernando Pereira , Naftali Tishby , Lillian Lee

Word order variances generally exist in different languages. In this paper, we hypothesize that cross-lingual models that fit into the word order of the source language might fail to handle target languages. To verify this hypothesis, we…

Computation and Language · Computer Science 2020-12-09 Zihan Liu , Genta Indra Winata , Samuel Cahyawijaya , Andrea Madotto , Zhaojiang Lin , Pascale Fung

Disentangled latent spaces usually have better semantic separability and geometrical properties, which leads to better interpretability and more controllable data generation. While this has been well investigated in Computer Vision, in…

Computation and Language · Computer Science 2024-06-12 Yingji Zhang , Danilo S. Carvalho , André Freitas

Reading a document and extracting an answer to a question about its content has attracted substantial attention recently. While most work has focused on the interaction between the question and the document, in this work we evaluate the…

Computation and Language · Computer Science 2018-09-05 Shimi Salant , Jonathan Berant

We show that language models' activations linearly encode when information was learned during training. Our setup involves creating a model with a known training order by sequentially fine-tuning Llama-3.2-1B on six disjoint but otherwise…

Machine Learning · Computer Science 2025-09-23 Dmitrii Krasheninnikov , Richard E. Turner , David Krueger

We present a perturbative approach to disordered systems in one spatial dimension that accesses the full range of phase disorder and clarifies the connection between localization and phase information. We consider a long chain of…

Disordered Systems and Neural Networks · Physics 2024-03-04 Adrian B. Culver , Pratik Sathe , Rahul Roy

We show that there exist non-relativistic scattering experiments which, if successful, freeze out, speed up or even reverse the free dynamics of any ensemble of quantum systems present in the scattering region. This time translation effect…

Quantum Physics · Physics 2020-12-16 David Trillo , Benjamin Dive , Miguel Navascues

We study the problem of multilingual masked language modeling, i.e. the training of a single model on concatenated text from multiple languages, and present a detailed study of several factors that influence why these models are so…

Computation and Language · Computer Science 2020-05-11 Shijie Wu , Alexis Conneau , Haoran Li , Luke Zettlemoyer , Veselin Stoyanov

We present a differentiable stack data structure that simultaneously and tractably encodes an exponential number of stack configurations, based on Lang's algorithm for simulating nondeterministic pushdown automata. We call the combination…

Computation and Language · Computer Science 2022-12-01 Brian DuSell , David Chiang