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Given a text, rank and select queries return the number of occurrences of a character up to a position (rank) or the position of a character with a given rank (select). These queries have applications in, e.g., compression, computational…

Data Structures and Algorithms · Computer Science 2023-11-10 Matteo Ceregini , Florian Kurpicz , Rossano Venturini

We deal with the problem of maintaining the suffix tree indexing structure for a fully-online collection of multiple strings, where a new character can be prepended to any string in the collection at any time. The only previously known…

Data Structures and Algorithms · Computer Science 2020-05-05 Shunsuke Inenaga

There now exist compact indexes that can efficiently list all the occurrences of a pattern in a dataset consisting of thousands of genomes, or even all the occurrences of all the pattern's maximal exact matches (MEMs) with respect to the…

Data Structures and Algorithms · Computer Science 2022-09-20 Adrián Goga , Andrej Baláž , Alessia Petescia , Travis Gagie

When trained on language data, do transformers learn some arbitrary computation that utilizes the full capacity of the architecture or do they learn a simpler, tree-like computation, hypothesized to underlie compositional meaning systems…

Computation and Language · Computer Science 2022-11-07 Shikhar Murty , Pratyusha Sharma , Jacob Andreas , Christopher D. Manning

In this paper, we show that the LZ77 factorization of a text T {\in\Sigma^n} can be computed in O(R log n) bits of working space and O(n log R) time, R being the number of runs in the Burrows-Wheeler transform of T reversed. For extremely…

Data Structures and Algorithms · Computer Science 2015-10-22 Nicola Prezza , Alberto Policriti

Genome rearrangement distances are an established method in genome comparison. Works in this area may include various rearrangement operations representing large-scale mutations, gene orientation information, the number of nucleotides in…

Data Structures and Algorithms · Computer Science 2026-01-01 Gabriel Siqueira , Alexsandro Oliveira Alexandrino , Zanoni Dias

Machine learning-based multi-label medical text classifications can be used to enhance the understanding of the human body and aid the need for patient care. We present a broad study on clinical natural language processing techniques to…

Information Retrieval · Computer Science 2020-04-02 Vithya Yogarajan , Jacob Montiel , Tony Smith , Bernhard Pfahringer

The idea of "stratified medicine" is an important driver of methodological research on the identification of predictive biomarkers. Most methods proposed so far for this purpose have been developed for the use on randomized data only.…

Methodology · Statistics 2022-12-19 Julia Krzykalla , Axel Benner , Annette Kopp-Schneider

Suffix Array (SA) is a cardinal data structure in many pattern matching applications, including data compression, plagiarism detection and sequence alignment. However, as the volumes of data increase abruptly, the construction of SA is not…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-16 Hsiang-Huang Wu , Chien-Min Wang , Hsuan-Chi Kuo , Wei-Chun Chung , Jan-Ming Ho

This paper describes our submission to the First Workshop on Reordering for Statistical Machine Translation. We have decided to build a reordering system based on tree-to-string model, using only publicly available tools to accomplish this…

Computation and Language · Computer Science 2013-02-14 Jacob Dlougach , Irina Galinskaya

Text generation from AMR requires mapping a semantic graph to a string that it annotates. Transformer-based graph encoders, however, poorly capture vertex dependencies that may benefit sequence prediction. To impose order on an encoder, we…

Computation and Language · Computer Science 2021-09-03 Lisa Jin , Daniel Gildea

We study the problem of using (partial) constituency parse trees as syntactic guidance for controlled text generation. Existing approaches to this problem use recurrent structures, which not only suffer from the long-term dependency problem…

Computation and Language · Computer Science 2020-10-06 Yinghao Li , Rui Feng , Isaac Rehg , Chao Zhang

We study the problem of indexing text with wildcard positions, motivated by the challenge of aligning sequencing data to large genomes that contain millions of single nucleotide polymorphisms (SNPs)---positions known to differ between…

Data Structures and Algorithms · Computer Science 2011-01-28 Chris Thachuk

This paper presents trainable methods for generating letter to sound rules from a given lexicon for use in pronouncing out-of-vocabulary words and as a method for lexicon compression. As the relationship between a string of letters and a…

cmp-lg · Computer Science 2007-05-23 V. Pagel , K. Lenzo , A. Black

Counting distinct permutations with replacement, especially when involving multiple subwords, is a longstanding challenge in combinatorial analysis, with critical applications in cryptography, bioinformatics, and statistical modeling. This…

Cryptography and Security · Computer Science 2024-11-27 Martin Mathew , Javier Noda

RNA-Seq technology offers new high-throughput ways for transcript identification and quantification based on short reads, and has recently attracted great interest. The problem is usually modeled by a weighted splicing graph whose nodes…

Quantitative Methods · Quantitative Biology 2013-08-02 Alexandru I. Tomescu , Anna Kuosmanen , Romeo Rizzi , Veli Mäkinen

This article describes lossless compression algorithms for multisets of sequences, taking advantage of the multiset's unordered structure. Multisets are a generalisation of sets where members are allowed to occur multiple times. A multiset…

Information Theory · Computer Science 2014-01-27 Christian Steinruecken

Many large-scale Web applications that require ranked top-k retrieval such as Web search and online advertising are implemented using inverted indices. An inverted index represents a sparse term-document matrix, where non-zero elements…

Information Retrieval · Computer Science 2015-03-19 George Beskales , Marcus Fontoura , Maxim Gurevich , Sergei Vassilvitskii , Vanja Josifovski

Any Boolean function corresponds with a complete full binary decision tree. This tree can in turn be represented in a maximally compact form as a direct acyclic graph where common subtrees are factored and shared, keeping only one copy of…

Data Structures and Algorithms · Computer Science 2020-05-26 Julien Clément , Antoine Genitrini

We reduce phrase-representation parsing to dependency parsing. Our reduction is grounded on a new intermediate representation, "head-ordered dependency trees", shown to be isomorphic to constituent trees. By encoding order information in…

Computation and Language · Computer Science 2015-03-03 Daniel Fernández-González , André F. T. Martins
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