Challenge: Annotated resource for aspectual classification of German verb tokens in context.
Approach: They present a resource for aspectual classification of German verb tokens in their clausal context.
Outcome: The proposed resource is compared with previous work on German verb tokens using aspectual features compatible with the plurality of aspectual classifications.

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Automatic Annotation of Semantic Term Types in the Complete ACL Anthology Reference Corpus (L18-1)

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Challenge: a recent increase in quantitative studies of scientific text collections has led to a significant increase in the use of semantic labeling techniques.
Approach: They propose to use semantic class labels to enhance a well-known resource . they use semantic labels to assign semantic class labeling to technical terms .
Outcome: The proposed approach enhances the ACL Anthology Reference Corpus with semantic class labels for 20,000 technical terms . the goal is to use this information as one feature in the profiling of scientific papers, communities, and disciplines.
A Short Survey on Sense-Annotated Corpora (2020.lrec-1)

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Challenge: Word Sense Disambiguation (WSD) is a key task in Natural Language Understanding.
Approach: They propose to use sense-annotated corpora for supervised Word Sense Disambiguation.
Outcome: The proposed methods have been compared with knowledge-based approaches and have shown to be more efficient when they are available.
Corpus Considerations for Annotator Modeling and Scaling (2024.naacl-long)

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Challenge: Recent trends in natural language processing and annotation tasks emphasize individual perspectives . annotator models that rely on a single ground truth may disregard valuable minority perspectives omissions .
Approach: They propose a composite embedding approach to investigate annotator modeling techniques . they show that the commonly used user token model consistently outperforms more complex models .
Outcome: The proposed model outperforms more complex models on a given dataset.
An Empirical Evaluation of Annotation Practices in Corpora from Language Documentation (2020.lrec-1)

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Challenge: Language documentation projects have produced substantial amounts of primary data from a wide variety of endangered languages.
Approach: They propose to use common annotation conventions in existing corpora to facilitate their future processing.
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Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts (2024.lrec-main)

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Challenge: Using Large Language Models (LLMs) as foundational models, we propose a new annotation scheme to classify different types of clauses in Terms-and-Conditions contracts.
Approach: They propose to use a new annotation scheme to classify clauses in Terms-and-Conditions contracts to support legal experts in identifying and assessing problematic issues.
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Semantic Supersenses for English Possessives (L18-1)

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Challenge: Existing semantic categories for possessive constructions are limited to nominals and s-genitives.
Approach: They propose to use a supersense inventory to annotate English possessives . they show existing supersensor categories are readily applicable to possessives.
Outcome: The proposed annotations are applied to English possessives in a corpus of web reviews.
Human Temporal Inferences Go Beyond Aspectual Class (2024.eacl-long)

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Challenge: Existing work on aspectual classification in English has been motivated as a pre-requisite for Natural Language Understanding (NLU) in cases where temporal reasoning is required.
Approach: They propose to classify English verb phrases into situation aspect categories by gathering crowd-sourced judgements from non-expert, native English participants.
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Aspectuality Across Genre: A Distributional Semantics Approach (2020.coling-main)

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Challenge: Existing studies have focused on the aspectual class of verbs in English for predicting coherence relations in text and imagery, predicting links in entailment graphs and interpreting sign languages.
Approach: They propose to model two elementary aspects of aspectual class, states vs. events, and telic v. atelic events, with distributional semantics.
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The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
Approach: They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful.
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Interannotator Agreement for Lexico-Semantic Annotation of a Corpus (2020.lrec-1)

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Challenge: a method for lexico-semantic annotation of the Basic Corpus of Polish Metaphors is described . the procedure is composed of three steps: deciding whether a particular occurrence of a word is asemantics or strictly grammatical.
Approach: They propose a procedure for lexico-semantic annotation of the Basic Corpus of Polish Metaphor . procedure corrects morphosyntactic annotation of part of corpus that is automatically annotated .
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