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Related papers: Capturing CFLs with Tree Adjoining Grammars

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Although conceptualization has been widely studied in semantics and knowledge representation, it is still challenging to find the most accurate concept phrases to characterize the main idea of a text snippet on the fast-growing social…

Machine Learning · Computer Science 2022-06-17 Jiuding Yang , Weidong Guo , Bang Liu , Yakun Yu , Chaoyue Wang , Jinwen Luo , Linglong Kong , Di Niu , Zhen Wen

We present an implemented compilation algorithm that translates HPSG into lexicalized feature-based TAG, relating concepts of the two theories. While HPSG has a more elaborated principle-based theory of possible phrase structures, TAG…

cmp-lg · Computer Science 2008-02-03 Robert Kasper , Bernd Kiefer , Klaus Netter , K. Vijay-Shanker

Under categorial grammars that have powerful rules like composition, a simple n-word sentence can have exponentially many parses. Generating all parses is inefficient and obscures whatever true semantic ambiguities are in the input. This…

cmp-lg · Computer Science 2008-02-03 Jason Eisner

CPEG is an extended parsing expression grammar with regex-like capture annotation. Two annotations (capture and left-folding) allow a flexible construction of syntax trees from arbitrary parsing patterns. More importantly, CPEG is designed…

Programming Languages · Computer Science 2018-12-19 Daisuke Yamaguchi , Kimio Kuramitsu

Directed acyclic graphs (DAGs) are a class of graphs commonly used in practice, with examples that include electronic circuits, Bayesian networks, and neural architectures. While many effective encoders exist for DAGs, it remains…

Machine Learning · Computer Science 2025-05-30 Michael Sun , Orion Foo , Gang Liu , Wojciech Matusik , Jie Chen

Grammar-based sentence generation has been thoroughly explored for Context-Free Grammars (CFGs), but remains unsolved for recognition-based approaches such as Parsing Expression Grammars (PEGs). Lacking tool support, language designers…

Programming Languages · Computer Science 2018-02-01 Tony Garnock-Jones , Mahdi Eslamimehr , Alessandro Warth

Series-parallel (SP) graphs are binary edge-labeled graphs with a designated source and target vertex, built using serial and parallel composition. A set of graphs is recognizable if membership depends only on its image under a homomorphism…

Formal Languages and Automata Theory · Computer Science 2026-04-28 Marius Bozga , Radu Iosif , Florian Zuleger

Determining semantic textual similarity is a core research subject in natural language processing. Since vector-based models for sentence representation often use shallow information, capturing accurate semantics is difficult. By contrast,…

Computation and Language · Computer Science 2017-07-28 Hitomi Yanaka , Koji Mineshima , Pascual Martinez-Gomez , Daisuke Bekki

We study a class of algebras that can be used as recognisers for regular languages of infinite trees.

Formal Languages and Automata Theory · Computer Science 2018-07-13 Achim Blumensath

The present work presents some results about the categorial relation between logics and its categories of structures. A (propositional, finitary) logic is a pair given by a signature and Tarskian consequence relation on its formula algebra.…

Category Theory · Mathematics 2016-03-04 Darllan Conceição Pinto , Hugo Luiz Mariano

We classify extensions of certain classifiable C*-algebras using the six term exact sequence in K-theory together with the positive cone of the K_0-groups of the distinguished ideal and quotient. We then apply our results to a class of…

Operator Algebras · Mathematics 2014-10-01 Soren Eilers , Gunnar Restorff , Efren Ruiz

Morphological analysis involves predicting the syntactic traits of a word (e.g. {POS: Noun, Case: Acc, Gender: Fem}). Previous work in morphological tagging improves performance for low-resource languages (LRLs) through cross-lingual…

Computation and Language · Computer Science 2018-07-12 Chaitanya Malaviya , Matthew R. Gormley , Graham Neubig

In this report, we present TAGLAS, an atlas of text-attributed graph (TAG) datasets and benchmarks. TAGs are graphs with node and edge features represented in text, which have recently gained wide applicability in training graph-language or…

Machine Learning · Computer Science 2024-10-22 Jiarui Feng , Hao Liu , Lecheng Kong , Mingfang Zhu , Yixin Chen , Muhan Zhang

Effective and controllable data selection is critical for LLM instruction tuning, especially with massive open-source datasets. Existing approaches primarily rely on instance-level quality scores, or diversity metrics based on embedding…

Computation and Language · Computer Science 2026-01-21 Zihan Niu , Wenping Hu , Junmin Chen , Xiyue Wang , Tong Xu , Ruiming Tang

We propose a new A* CCG parsing model in which the probability of a tree is decomposed into factors of CCG categories and its syntactic dependencies both defined on bi-directional LSTMs. Our factored model allows the precomputation of all…

Computation and Language · Computer Science 2017-04-25 Masashi Yoshikawa , Hiroshi Noji , Yuji Matsumoto

Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. In this context, the conventional factor graphs are referred…

Artificial Intelligence · Computer Science 2012-07-19 Yongyi Mao , Frank Kschischang , Brendan J. Frey

We revisit G. Elek's notion of amenable representation type, where algebras are characterised by every indecomposable module being "almost" the direct sum of modules of bounded dimension. We give a new proof of his result that string…

Representation Theory · Mathematics 2022-08-19 Sebastian Eckert

In this paper we introduce a new class of tuple-generating dependencies (TGDs) called triangularly-guarded TGDs, which are TGDs with certain restrictions on the atomic derivation track embedded in the underlying rule set. We show that…

Artificial Intelligence · Computer Science 2018-04-20 Vernon Asuncion , Yan Zhang

Supertagging is conventionally regarded as an important task for combinatory categorial grammar (CCG) parsing, where effective modeling of contextual information is highly important to this task. However, existing studies have made limited…

Computation and Language · Computer Science 2020-11-19 Yuanhe Tian , Yan Song , Fei Xia

This paper defines a language L for specifying LFG grammars. This enables constraints on LFG's composite ontology (c-structures synchronised with f-structures) to be stated directly; no appeal to the LFG construction algorithm is needed. We…

cmp-lg · Computer Science 2016-08-31 Patrick Blackburn , Claire Gardent