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We investigate schema languages for unordered XML having no relative order among siblings. First, we propose unordered regular expressions (UREs), essentially regular expressions with unordered concatenation instead of standard…

Databases · Computer Science 2014-10-29 Iovka Boneva , Radu Ciucanu , Sławek Staworko

The Differentiable Search Index (DSI) is a novel information retrieval (IR) framework that utilizes a differentiable function to generate a sorted list of document identifiers in response to a given query. However, due to the black-box…

Information Retrieval · Computer Science 2023-05-24 Xiaoyang Chen , Yanjiang Liu , Ben He , Le Sun , Yingfei Sun

A tree functional is called additive if it satisfies a recursion of the form $F(T) = \sum_{j=1}^k F(B_j) + f(T)$, where $B_1,\ldots,B_k$ are the branches of the tree $T$ and $f(T)$ is a toll function. We prove a general central limit…

Combinatorics · Mathematics 2016-05-13 Dimbinaina Ralaivaosaona , Stephan Wagner

This paper explores how the Distantly Supervised Relation Extraction (DS-RE) can benefit from the use of a Universal Graph (UG), the combination of a Knowledge Graph (KG) and a large-scale text collection. A straightforward extension of a…

Computation and Language · Computer Science 2021-05-07 Qin Dai , Naoya Inoue , Ryo Takahashi , Kentaro Inui

Let T be a weighted tree with n leaves. Let D_{i,j} be the distance between the leaves i and j. Let D_{i,j,k}= (D_{i,j} + D_{j,k} +D_{i,k})/2. We will call such numbers "triple weights" of the tree. In this paper, we give a…

Algebraic Geometry · Mathematics 2011-04-25 Elena Rubei

Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks) is a challenging problem since the search space of DAGs is combinatorial and scales superexponentially with the number of nodes. Existing approaches…

Machine Learning · Statistics 2018-11-06 Xun Zheng , Bryon Aragam , Pradeep Ravikumar , Eric P. Xing

This thesis deals with Double Field Theory (DFT), an effective field theory capturing the low energy dynamics of closed strings on a torus. It renders T-duality on a torus manifest by adding $D$ winding coordinates in addition to the $D$…

High Energy Physics - Theory · Physics 2015-09-25 Falk Hassler

We present a new and powerful algebraic framework for graph rewriting, based on drags, a class of graphs enjoying a novel composition operator. Graphs are embellished with roots and sprouts, which can be wired together to form edges. Drags…

Logic in Computer Science · Computer Science 2024-06-28 Nachum Dershowitz , Jean-Pierre Jouannaud , Fernando Orejas

In this paper, we present a novel Deep Triphone Embedding (DTE) representation derived from Deep Neural Network (DNN) to encapsulate the discriminative information present in the adjoining speech frames. DTEs are generated using a four…

Sound · Computer Science 2017-10-25 Mohit Yadav , Vivek Tyagi

Tree tensor networks (TTNs) provide a compact and structured representation of high-dimensional data, making them valuable in various areas of computational mathematics and physics. In this paper, we present a rigorous mathematical…

Numerical Analysis · Mathematics 2026-04-28 Junyuan He , Zhonghao Sun , Jizu Huang

We consider special cases of the two tree degree sequences problem. We show that if two tree degree sequences do not have common leaves then they always have edge-disjoint caterpillar realizations. By using a probabilistic method, we prove…

Combinatorics · Mathematics 2017-04-25 Kristóf Bérczi , Zoltán Király , Changshuo Liu , István Miklós

The $k^2$-tree is a successful compact representation of binary relations that exhibit sparseness and/or clustering properties. It can be extended to $d$ dimensions, where it is called a $k^d$-tree. The representation boils down to a long…

Data Structures and Algorithms · Computer Science 2019-11-21 Diego Arroyuelo , Guillermo de Bernardo , Travis Gagie , Gonzalo Navarro

This paper is an extended abstract of an analysis of term rewriting where the terms in the rewrite rules as well as the term to be rewritten are compressed by a singleton tree grammar (STG). This form of compression is more general than…

Logic in Computer Science · Computer Science 2013-02-27 Manfred Schmidt-Schauss

We introduce DsDs: a cross-lingual neural part-of-speech tagger that learns from disparate sources of distant supervision, and realistically scales to hundreds of low-resource languages. The model exploits annotation projection, instance…

Computation and Language · Computer Science 2018-08-30 Barbara Plank , Željko Agić

An optimal binary search tree for an access sequence on elements is a static tree that minimizes the total search cost. Constructing perfectly optimal binary search trees is expensive so the most efficient algorithms construct almost…

Data Structures and Algorithms · Computer Science 2018-06-28 Mordecai Golin , John Iacono , Stefan Langerman , J. Ian Munro , Yakov Nekrich

Head-driven phrase structure grammar (HPSG) enjoys a uniform formalism representing rich contextual syntactic and even semantic meanings. This paper makes the first attempt to formulate a simplified HPSG by integrating constituent and…

Computation and Language · Computer Science 2020-05-06 Junru Zhou , Hai Zhao

Btree and Rtree are two basic index structures; many different variants of them are proposed after them. Different variants are used in specific application for the performance optimization. In this paper different variants of Btree and…

Data Structures and Algorithms · Computer Science 2015-06-11 Parth Patel , Deepak Garg

We analyze breaking of symmetries that belong to the double point group D2h(TD) (three mutually perpendicular symmetry axes of the second order, inversion, and time reversal). Subgroup structure of the D2h(TD) group indicates that there can…

Nuclear Theory · Physics 2009-10-31 J. Dobaczewski , J. Dudek , S. G. Rohozinski , T. R. Werner

Subgraph matching is a fundamental building block for graph-based applications and is challenging due to its high-order combinatorial nature. Existing studies usually tackle it by combinatorial optimization or learning-based methods.…

Machine Learning · Computer Science 2023-06-13 Xuanzhou Liu , Lin Zhang , Jiaqi Sun , Yujiu Yang , Haiqin Yang

Speculative decoding accelerates autoregressive language models by using a lightweight drafter to propose multiple future tokens, which the target model then verifies in parallel. DFlash shows that a block diffusion drafter can generate an…

Computation and Language · Computer Science 2026-04-15 Liran Ringel , Yaniv Romano