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We present an attention-based model for end-to-end handwriting recognition. Our system does not require any segmentation of the input paragraph. The model is inspired by the differentiable attention models presented recently for speech…

Computer Vision and Pattern Recognition · Computer Science 2016-08-24 Théodore Bluche , Jérôme Louradour , Ronaldo Messina

In natural language using short sentences is considered efficient for communication. However, a text composed exclusively of such sentences looks technical and reads boring. A text composed of long ones, on the other hand, demands…

A standard measure of the influence of a research paper is the number of times it is cited. However, papers may be cited for many reasons, and citation count offers limited information about the extent to which a paper affected the content…

Computation and Language · Computer Science 2022-10-26 Sandeep Soni , David Bamman , Jacob Eisenstein

Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluable tools for theoretical analyses and exploration of the…

Computation and Language · Computer Science 2007-10-15 Catherine Recanati , Nicoleta Rogovschi , Younès Bennani

Recent work on evaluating the diversity of text generated by LLMs has focused on word-level features. Here we offer an analysis of syntactic features to characterize general repetition in models, beyond frequent n-grams. Specifically, we…

Computation and Language · Computer Science 2024-10-08 Chantal Shaib , Yanai Elazar , Junyi Jessy Li , Byron C. Wallace

Large language models (LLMs) are capable of writing grammatical text that follows instructions, answers questions, and solves problems. As they have advanced, it has become difficult to distinguish their output from human-written text.…

Computation and Language · Computer Science 2025-08-25 Alex Reinhart , Ben Markey , Michael Laudenbach , Kachatad Pantusen , Ronald Yurko , Gordon Weinberg , David West Brown

Text line segmentation is one of the key steps in historical document understanding. It is challenging due to the variety of fonts, contents, writing styles and the quality of documents that have degraded through the years. In this paper,…

Computer Vision and Pattern Recognition · Computer Science 2022-10-24 Mélodie Boillet , Christopher Kermorvant , Thierry Paquet

In this short paper, we examine the main metrics used to evaluate textual coreference and we detail some of their limitations. We show that a unique score cannot represent the full complexity of the problem at stake, and is thus…

Computation and Language · Computer Science 2024-01-02 Ana-Isabel Duron-Tejedor , Pascal Amsili , Thierry Poibeau

Text classification is a task of automatic classification of text into one of the predefined categories. The problem of text classification has been widely studied in different communities like natural language processing, data mining and…

Computation and Language · Computer Science 2014-06-24 Reshma Prasad , Mary Priya Sebastian

Typography and layout lead to the hierarchical organisation of text in words, text lines, paragraphs. This inherent structure is a key property of text in any script and language, which has nonetheless been minimally leveraged by existing…

Computer Vision and Pattern Recognition · Computer Science 2024-10-30 Lluis Gomez , Dimosthenis Karatzas

We present an empirical study on methods for span finding, the selection of consecutive tokens in text for some downstream tasks. We focus on approaches that can be employed in training end-to-end information extraction systems, and find…

Computation and Language · Computer Science 2022-10-17 Weiwei Gu , Boyuan Zheng , Yunmo Chen , Tongfei Chen , Benjamin Van Durme

Procedures are an important knowledge component of documents that can be leveraged by cognitive assistants for automation, question-answering or driving a conversation. It is a challenging problem to parse big dense documents like product…

Artificial Intelligence · Computer Science 2020-10-21 Shivali Agarwal , Shubham Atreja , Vikas Agarwal

The ability to accurately identify authorship is crucial for verifying content authenticity and mitigating misinformation. Large Language Models (LLMs) have demonstrated an exceptional capacity for reasoning and problem-solving. However,…

Computation and Language · Computer Science 2024-10-23 Baixiang Huang , Canyu Chen , Kai Shu

The search for linguistic patterns, stylometry and forensic linguistics have in the theory of complex networks, their structures and associated mathematical tools, allies with which to model and analyze texts. In this paper we present a new…

Combinatorics · Mathematics 2022-09-14 Angeles Criado-Alonso , David Aleja , Miguel Romance , Regino Criado

There are different ways to define similarity for grouping similar texts into clusters, as the concept of similarity may depend on the purpose of the task. For instance, in topic extraction similar texts mean those within the same semantic…

Computation and Language · Computer Science 2013-03-05 Diego R. Amancio , Osvaldo N. Oliveira , Luciano da F. Costa

It is important to measure the disruption of academic papers. According to the characteristics of three different kinds of citations, this paper borrows musical vocabulary and names them solo citations (SC), duet citations (DC), and prelude…

Digital Libraries · Computer Science 2019-05-13 Qiang Wu , Zhaoyang Yan

Typology is a subfield of linguistics that focuses on the study and classification of languages based on their structural features. Unlike genealogical classification, which examines the historical relationships between languages, typology…

Computation and Language · Computer Science 2025-04-30 Gerhard Jäger

Text production (and translations) proceeds in the form of stretches of typing, interrupted by keystroke pauses. It is often assumed that fast typing reflects unchallenged/automated translation production while long(er) typing pauses are…

Computation and Language · Computer Science 2026-04-03 Devi Sri Bandaru , Michael Carl , Xinyue Ren

This study examines how large language model rewriting alters the style and narrative texture of personal narratives. It analyzes 300 personal narratives rewritten by three frontier LLMs under three prompt conditions: generic improvement,…

Computation and Language · Computer Science 2026-04-27 Tom van Nuenen

Style is an integral part of natural language. However, evaluation methods for style measures are rare, often task-specific and usually do not control for content. We propose the modular, fine-grained and content-controlled similarity-based…

Computation and Language · Computer Science 2021-09-13 Anna Wegmann , Dong Nguyen