| Challenge: | Existing annotation schemas for diagrams are based on Rhetorical Structure Theory (RST) paper documents proposed schema, reports on inter-annotator agreement for this task, and discusses use of AI2D-RST for research on multimodality and artificial intelligence. |
| Approach: | They propose to replace the annotation of semantic relations between diagram elements by building on Rhetorical Structure Theory (RST) the paper documents the proposed annotation schema, describes challenges in applying RST to diagrams, and reports on inter-annotator agreement for this task. |
| Outcome: | The proposed schema is based on Rhetorical Structure Theory, which has been used to describe the multimodal structure of diagrams and documents. |
Similar Papers
A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations (L18-1)
Copied to clipboard
| Challenge: | Recent interest in Argumentation Mining has brought to the fore the need for corpora annotated with argument information, which can be used as training data. |
| Approach: | They propose a set of guidelines for the annotation of argument schemes and a new annotation tool for the 'inferential' argument schemes. |
| Outcome: | The proposed corpus includes 112 argumentative microtexts and a new annotation tool. |
Developing a Rhetorical Structure Theory Treebank for Czech (2024.lrec-main)
Copied to clipboard
| Challenge: | a paper on the Czech RST Discourse Treebank is the first version of a textual annotation system based on the Rhetorical Structure Theory . document is annotated using the RST, a global coherence model proposed by Mann and Thompson . |
| Approach: | They introduce the first version of the Czech RST Discourse Treebank . paper presents an annotation process and provides corpus statistics and evaluation . |
| Outcome: | The paper presents the first version of the Czech RST Discourse Treebank . the treebank includes two gold annotations representing divergent interpretations . |
Using and comparing Rhetorical Structure Theory parsers with rst-workbench (2021.eacl-demos)
Copied to clipboard
| Challenge: | Rhetorical Structure Theory (RST) parsers are usually only trained on English data . |
| Approach: | rst-workbench is a web-based tool that lets users install and use RST parsers. |
| Outcome: | rst-workbench is a web-based tool that lets users run multiple RST parsers simultaneously. |
TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations (L18-1)
Copied to clipboard
| 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. |
End-to-End Argument Mining over Varying Rhetorical Structures (2023.findings-acl)
Copied to clipboard
| Challenge: | Rhetorical Structure Theory implies no single discourse interpretation of a text . inconsistent parsing of similar structures can result in inconsistent argumentation analysis . |
| Approach: | They propose a deep dependency parsing model to assess the connection between rhetorical and argument structures. |
| Outcome: | The proposed model allows for end-to-end argumentation analysis using a rhetorical tree instead of a word sequence. |
Machine-Aided Annotation for Fine-Grained Proposition Types in Argumentation (2020.lrec-1)
Copied to clipboard
| Challenge: | a corpus of 2016 debates and commentary contains 4,648 argumentative propositions annotated with fine-grained proposition types. |
| Approach: | They propose a machine learning-human workflow for annotating for four complex proposition types . they demonstrate with preliminary analysis of rhetorical strategies and structure in presidential debates . |
| Outcome: | The proposed method can be used by technical researchers seeking more nuanced representations of argument . it can also be used to analyze rhetorical strategies and structure in presidential debates . |
The Interplay between Metaphors and NLP (2026.acl-tutorials)
Copied to clipboard
| Challenge: | This tutorial will provide an overview of the metaphor processing field. |
| Approach: | This tutorial will provide an overview of the metaphor processing field . it will focus on recent directions opened by LLMs for metaphor interpretation . |
| Outcome: | The tutorial will discuss the influence of various metaphor theories on the creation of annotated resources and models. |
Finding Structural Knowledge in Multimodal-BERT (2022.acl-long)
Copied to clipboard
| Challenge: | Several multimodal-BERT models learn contextualized embeddings through training on linguistic data and visual data. |
| Approach: | They propose to make the structure of language and visuals explicit by a dependency parse . they also propose to encode the scene tree in the multimodal-BERT models . |
| Outcome: | The proposed models do not encode the scene trees in the language description. |
Semantic-pragmatic Annotations in the Prague Dependency Treebank (2026.findings-acl)
Copied to clipboard
Marie Mikulová, Eva Hajicova, Jiří Mírovský, Anna Nedoluzhko, Michal Novák, Pavlína Synková, Jan Štěpánek, Barbora Štěpánková, Jan Hajič
| Challenge: | morphology and syntax work on sentence level, but semantic-pragmatic phenomena are often related to two or more neighbouring sentences and possibly to an extra-linguistic context. |
| Approach: | They present semantic-pragmatic specification and annotations in the Prague Dependency Treebank - Consolidated 2.0 release2 by annotating the entire corpus. |
| Outcome: | The proposed annotations are based on the Prague Dependency Treebank -Consolidated 2.0 (PDT-C 2.0) the dataset contains more than 3 million tokens (of Czech) manually annotated from morphology to surface and deep syntax including several types of semantic-pragmatic annotations. |
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization (2023.acl-long)
Copied to clipboard
| Challenge: | Contemporary leading-edge systems for abstractive (long) text summarization employ Transformer encoderdecoder architectures that only consider the nuclearity annotation . |
| Approach: | They propose to incorporate Rhetorical Structure Theory into a novel summarization model that incorporates both the types and uncertainty of rhetorical relations. |
| Outcome: | The proposed model outperforms state-of-the-art models on automatic metrics and human evaluation. |