Challenge: Text Annotation Graphs is a web-based tool for annotating text . it provides functionality for representing complex relationships between words and word phrases .
Approach: They introduce a web-based tool for annotating text, Text Annotation Graphs, or TAG . it provides functionality for representing complex relationships between words and word phrases .
Outcome: The proposed software can represent complex relationships between words and words . it can also be used to find similar structures within the current document or external annotated documents.

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QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text (2022.acl-demo)

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Challenge: Acquiring high-quality annotated corpora for complex multi-task information extraction (MT-IE) is an arduous and costly process for human-annotators.
Approach: They propose a supervised MT-IE annotation tool built with indirect weak supervision and clustering to maximise annotator productivity.
Outcome: The proposed tool is compared with existing tools in the field of MT-IE and aims to increase annotator productivity.
Relational Summarization for Corpus Analysis (N18-1)

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Challenge: Existing methods for summarizing textual content are often ignored . relationshipal questions are ubiquitous and varied.
Approach: They propose a method which generates a natural language summary of the relationship between two lexical items in a corpus without reference to a knowledge base.
Outcome: The proposed method generates a natural language summary of the relationship between two lexical items in a corpus without reference to a knowledge base.
Simpler but More Accurate Semantic Dependency Parsing (P18-2)

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Challenge: Syntactic dependency parsing is the most popular method for automatically extracting low-level relationships between words in a sentence.
Approach: They extend a syntactic dependency parser to train on and generate graph-structured representations that capture between-word relationships that are more closely related to the meaning of a sentence.
Outcome: The proposed system beats the current state-of-the-art system by 0.6% and linguistically richer representations push the margin even higher.
Cross-lingual Semantic Representation for NLP with UCCA (2020.coling-tutorials)

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Challenge: introductory tutorial to UCCA, a symbolic meaning representation for semantic representations.
Approach: This tutorial introduces UCCA, a cross-linguistically applicable framework for semantic representation . it will provide a detailed introduction to the UCca annotation guidelines, design philosophy and available resources .
Outcome: The tutorial will provide a detailed introduction to the UCCA framework and compare it to other meaning representations.
A Multi-level Annotated Corpus of Scientific Papers for Scientific Document Summarization and Cross-document Relation Discovery (2020.lrec-1)

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Challenge: Recent studies have proposed to take advantage of the scientific paper's citation network to approach literature summarization.
Approach: They propose to annotate related work sections, cite papers and sentences using machine readable data and an additional layer of papers citing the references.
Outcome: The proposed corpus expands the existing data-set of related work sections and cites the papers cited in the related work section.
TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations (L18-1)

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Challenge: TREEANNOTATOR is a browser-based tool for annotating tree-like structures . it provides a wider range of formats and provides graphical annotations .
Approach: They evaluate TREEANNOTATOR, a browser-based tool for annotating tree-like structures, in particular structures that jointly map dependency relations and inclusion hierarchies, as used by Rhetorical Structure Theory.
Outcome: The GUI interface is user-friendly and provides two visualization modes.
Graph-Based Meaning Representations: Design and Processing (P19-4)

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Challenge: This tutorial focuses on representing and processing sentence meaning in the form of labeled directed graphs.
Approach: This tutorial will briefly review relevant background in formal and linguistic semantics . it will also briefly define a unified abstract view on different flavors of semantic graphs - and associated terminology .
Outcome: The tutorial will briefly review relevant background in formal and linguistic semantics .
FITAnnotator: A Flexible and Intelligent Text Annotation System (2021.naacl-demos)

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Challenge: In this paper, we introduce FITAnnotator, a generic web-based tool for efficient text annotation.
Approach: They propose a generic web-based tool for efficient text annotation.
Outcome: The proposed tool is based on a fully modular architecture and provides three kinds of interfaces to annotate instances, evaluate annotation quality and manage the annotation task for annotators, reviewers and managers.
A FrameNet for Cancer Information in Clinical Narratives: Schema and Annotation (L18-1)

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Challenge: Existing natural language processing (NLP) systems for cancer-related information are highly task-specific and often produce incompatible annotations and algorithms.
Approach: They propose a general-purpose natural language processing resource for cancer-related information in clinical notes . the project uses a frame semantic method to emphasize the information presented in the notes themselves .
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Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13) (D19-53)

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Challenge: TextGraphs is a workshop on graph-based methods for natural language processing . the workshop is being organized in conjunction with the 9th International Joint Conference on Natural Language Processing .
Approach: TextGraphs is the 13th edition of the Workshop on Graph-Based Methods for Natural Language Processing . the workshop promotes synergy between GT and natural language processing .
Outcome: the 2013 edition of TextGraphs is being held in conjunction with the 9th International Joint Conference on Natural Language Processing in Hong Kong.

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