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相关论文: D-Tree Grammars

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The derivation trees of a tree adjoining grammar provide a first insight into the sentence semantics, and are thus prime targets for generation systems. We define a formalism, feature-based regular tree grammars, and a translation from…

计算与语言 · 计算机科学 2015-03-13 Sylvain Schmitz , Joseph Le Roux

In the context of structure-to-structure transformation tasks, learning sequences of discrete symbolic operations poses significant challenges due to their non-differentiability. To facilitate the learning of these symbolic sequences, we…

计算与语言 · 计算机科学 2023-06-02 Paul Soulos , Edward Hu , Kate McCurdy , Yunmo Chen , Roland Fernandez , Paul Smolensky , Jianfeng Gao

The precise formulation of derivation for tree-adjoining grammars has important ramifications for a wide variety of uses of the formalism, from syntactic analysis to semantic interpretation and statistical language modeling. We argue that…

cmp-lg · 计算机科学 2009-09-25 Yves Schabes , Stuart M. Shieber

Using feature-based Tree Adjoining Grammar (TAG), this paper presents linguistically motivated analyses of constructions claimed to require multi-component adjunction. These feature-based TAG analyses permit parsing of these constructions…

cmp-lg · 计算机科学 2008-02-03 B. A. Hockey , B. Srinivas

Tree-adjoining grammar (TAG) and combinatory categorial grammar (CCG) are two well-established mildly context-sensitive grammar formalisms that are known to have the same expressive power on strings (i.e., generate the same class of string…

形式语言与自动机理论 · 计算机科学 2022-05-17 Andreas Maletti , Lena Katharina Schiffer

A novel graph-to-tree conversion mechanism called the deep-tree generation (DTG) algorithm is first proposed to predict text data represented by graphs. The DTG method can generate a richer and more accurate representation for nodes (or…

计算与语言 · 计算机科学 2018-09-06 Fenxiao Chen , Bin Wang , C. -C. Jay Kuo

Syntactic Transformer language models aim to achieve better generalization through simultaneously modeling syntax trees and sentences. While prior work has been focusing on adding constituency-based structures to Transformers, we introduce…

计算与语言 · 计算机科学 2024-07-25 Yida Zhao , Chao Lou , Kewei Tu

The formalism of synchronous tree-adjoining grammars, a variant of standard tree-adjoining grammars (TAG), was intended to allow the use of TAGs for language transduction in addition to language specification. In previous work, the…

cmp-lg · 计算机科学 2008-02-03 Stuart M. Shieber

In this paper we show that an account for coordination can be constructed using the derivation structures in a lexicalized Tree Adjoining Grammar (LTAG). We present a notion of derivation in LTAGs that preserves the notion of fixed…

cmp-lg · 计算机科学 2008-02-03 Anoop Sarkar , Aravind Joshi

Tree adjoining grammars (TAGs) provide an ample tool to capture syntax of many Indian languages. Tamil represents a special challenge to computational formalisms as it has extensive agglutinative morphology and a comparatively difficult…

计算与语言 · 计算机科学 2017-04-20 Vijay Krishna Menon , S Rajendran , M Anandkumar , K P Soman

Many natural language processing (NLP) applications require the computation of similarities between pairs of syntactic or semantic trees. Many researchers have used tree edit distance for this task, but this technique suffers from the…

计算与语言 · 计算机科学 2014-02-05 Maytham Alabbas , Allan Ramsay

Decision trees and random forest remain highly competitive for classification on medium-sized, standard datasets due to their robustness, minimal preprocessing requirements, and interpretability. However, a single tree suffers from high…

机器学习 · 统计学 2025-12-02 Cencheng Shen , Yuexiao Dong , Carey E. Priebe

We consider unordered XML, where the relative order among siblings is ignored, and propose two simple yet practical schema formalisms: disjunctive multiplicity schemas (DMS), and its restriction, disjunction-free multiplicity schemas (MS).…

数据库 · 计算机科学 2013-06-21 Iovka Boneva , Radu Ciucanu , Slawek Staworko

The central role of the lexicon in Meaning-Text Theory (MTT) and other dependency-based linguistic theories cannot be replicated in linguistic theories based on context-free grammars (CFGs). We describe Tree Adjoining Grammar (TAG) as a…

cmp-lg · 计算机科学 2008-02-03 Owen Rambow , Aravind Joshi

Knowledge graphs (KGs) composed of users, objects, and tags are widely used in web applications ranging from E-commerce, social media sites to news portals. This paper concentrates on an attractive application which aims to predict the…

信息检索 · 计算机科学 2020-07-17 Chenyang Li , Xu Chen , Ya Zhang , Siheng Chen , Dan Lv , Yanfeng Wang

We present a new algorithm for fast record retrieval, distribute-probe-gather, or DPG. DPG has important applications both in sorting and in joins. Current main memory sorting algorithms split their work into three phases: extraction of…

数据库 · 计算机科学 2007-05-23 Gene Cooperman , Xiaoqin Ma , Viet Ha Nguyen

We present our contribution to the IWPT 2021 shared task on parsing into enhanced Universal Dependencies. Our main system component is a hybrid tree-graph parser that integrates (a) predictions of spanning trees for the enhanced graphs with…

计算与语言 · 计算机科学 2021-07-16 Tianze Shi , Lillian Lee

In a lexicalized grammar formalism such as Lexicalized Tree-Adjoining Grammar (LTAG), each lexical item is associated with at least one elementary structure (supertag) that localizes syntactic and semantic dependencies. Thus a parser for a…

cmp-lg · 计算机科学 2008-02-03 Aravind K. Joshi , B. Srinivas

A tree-based dictionary learning model is developed for joint analysis of imagery and associated text. The dictionary learning may be applied directly to the imagery from patches, or to general feature vectors extracted from patches or…

机器学习 · 计算机科学 2012-10-19 Lingbo Li , XianXing Zhang , Mingyuan Zhou , Lawrence Carin

The distinguishing number (index) $D(G)$ ($D'(G)$) of a graph $G$ is the least integer $d$ such that $G$ has an vertex (edge) labeling with $d$ labels that is preserved only by the trivial automorphism. It is known that for every graph $G$…

组合数学 · 数学 2017-08-11 Saeid Alikhani , Sandi Klavžar , Florian Lehner , Samaneh Soltani
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