| Challenge: | Using intertextual correspondence, we can combine annotated text corpora to create new annotation connections. |
| Approach: | They propose to use intertextual correspondence as an integrative technique for combining annotated text corpora. |
| Outcome: | The proposed technique can be used to build argumentative arguments in two annotated text corpora. |
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| Challenge: | Existing annotation efforts for multiple languages have focused on discourse connectives, but we have limited it to the class of connectives marking contrast and the additional relations such connectives might convey. |
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A Multi-layer Annotated Corpus of Argumentative Text: From Argument Schemes to Discourse Relations (L18-1)
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| 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. |
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A Brief Survey of Textual Dialogue Corpora (2022.lrec-1)
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Understanding Cross-Lingual Alignment—A Survey (2024.findings-acl)
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| Challenge: | Cross-lingual alignment is the meaningful similarity of representations across languages in multilingual language models. |
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Deep Generative Model for Joint Alignment and Word Representation (N18-1)
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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. |
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From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology (2022.acl-long)
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| Challenge: | Informal social interaction is the primordial home of human language. |
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ET: A Workstation for Querying, Editing and Evaluating Annotated Corpora (2021.emnlp-demo)
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| Challenge: | Using annotated corpora is costly for humans alone and requires a large amount of time and effort to manipulate. |
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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. |
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EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction (2022.naacl-main)
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| Challenge: | Existing studies only explore entity representations, but propose a novel triple perspective for relation extraction. |
| Approach: | They propose to explicitly introduce relation representation and jointly represent it with entities to identify valid triples. |
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