natural-language-processing-9

text annotation

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

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Libraries

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Datasets

OASST1

MATHWELL Human Annotation Dataset

Text_VPH

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Most implemented papers

A Bilingual, OpenWorld Video Text Dataset and End-to-end Video Text Spotter with Transformer

Weijia Wu, Yuanqiang Cai, Debing Zhang, Sibo Wang, Zhuang Li, Jiahong Li, Yejun Tang, Hong Zhou•Wed Dec 08 2021

This work introduces a large-scale, Bilingual, Open World Video text benchmark dataset (BOVText), and proposes an end-to-end video text spotting framework with Transformer, termed TransVTSpotter, which solves the multi-orient text spotting in video with a simple, but efficient attention-based query-key mechanism.

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Marvin: Semantic annotation using multiple knowledge sources

Nikola Milosevic•Sun Jan 31 2016

Marvin, a text annotator written in Java, which can be used as a command line tool and as a Java library, which is able to annotate text using multiple sources, including WordNet, MetaMap, DBPedia and thesauri represented as SKOS.

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Patent Sentiment Analysis to Highlight Patent Paragraphs

Renukswamy Chikkamath, Vishvapalsinhji Ramsinh Parmar, Christoph Hewel, M. Endres•Fri Nov 05 2021

This work assist patent practitioners in highlighting semantic information automatically and aid to create a sustainable and efficient patent analysis using the aptitude of Machine Learning.

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Open Images V5 Text Annotation and Yet Another Mask Text Spotter

Ilya Krylov, S. Nosov, V. Sovrasov•Tue Jun 22 2021

This paper presents text annotation for Open Images V5 dataset, which is the largest among publicly available manually created text annotations, and trained a simple Mask-RCNN-based network, referred as Yet Another Mask Text Spotter (YAMTS), which achieves competitive performance or even outperforms current state-of-the-art approaches.

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Text-guided Foundation Model Adaptation for Pathological Image Classification

Xiaosong Wang, Y. Qiao, Shaoting Zhang, Yunkun Zhang, Jinglei Gao, Mu Zhou, Dequan Wang•Wed Jul 26 2023

CITE injects text insights gained from language models pre-trained with a broad range of biomedical texts, leading to adapt foundation models towards pathological image understanding, and achieves leading performance compared with various baselines especially when training data is scarce.

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Text Annotation Graphs: Annotating Complex Natural Language Phenomena

M. Surdeanu, A. Forbes, Kristine Lee, Gus Hahn-Powell, M. A. Valenzuela-Escarcega•Tue Oct 31 2017

This paper introduces a new web-based software tool for annotating text, Text Annotation Graphs, or TAG. It provides functionality for representing complex relationships between words and word phrases that are not available in other software tools, including the ability to define and visualize relationships between the relationships themselves (semantic hypergraphs). Additionally, we include an approach to representing text annotations in which annotation subgraphs, or semantic summaries, are used to show relationships outside of the sequential context of the text itself. Users can use these subgraphs to quickly find similar structures within the current document or external annotated documents. Initially, TAG was developed to support information extraction tasks on a large database of biomedical articles. However, our software is flexible enough to support a wide range of annotation tasks for any domain. Examples are provided that showcase TAG's capabilities on morphological parsing and event extraction tasks. The TAG software is available at: this https URL CreativeCodingLab/TextAnnotationGraphs.

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YEDDA: A Lightweight Collaborative Text Span Annotation Tool

Xingxuan Li, Jie Yang, Yue Zhang•Thu Nov 09 2017

Yedda provides a systematic solution for text span annotation, ranging from collaborative user annotation to administrator evaluation and analysis, and overcomes the low efficiency of traditional text annotation tools by annotating entities through both command line and shortcut keys.

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The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation

Iryna Gurevych, M. Bugert, Jan-Christoph Klie, Beto Boullosa, Richard Eckart de Castilho•Fri Jun 22 2018

INCEpTION is a new annotation platform for tasks including interactive and semantic annotation (e.g., concept linking, fact linking, knowledge base population, semantic frame annotation) that incorporates machine learning capabilities which actively assist and guide annotators.

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NLATool: an Application for Enhanced Deep Text Understanding

Markus Gärtner, Sven Mayer, V. Schwind, E. Hämmerle, Emine Turcan, Florin Rheinwald, Gustav Murawski, Lars Lischke, Jonas Kuhn•Tue Jul 31 2018

NLATool is introduced, a web application developed using a human-centered design process that assists users to efficiently recognize named entities, annotate text, and automatically provide users additional information while solving deep text understanding tasks.

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