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Neural Token Segmentation for High Token-Internal Complexity ...
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Morphological Reinflection with Multiple Arguments: An Extended Annotation schema and a Georgian Case Study ...
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Applying the Transformer to Character-level Transduction
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In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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Telling BERT's Full Story: from Local Attention to Global Aggregation
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In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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Disambiguatory Signals are Stronger in Word-initial Positions
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In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021)
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Asking It All: Generating Contextualized Questions for any Semantic Role ...
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The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing ...
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The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing ...
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Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.77 Abstract: Modality is the linguistic ability to describe vents with added information such as how desirable, plausible, or feasible they are. Modality is important for many NLP downstream tasks such as the detection of hedging, uncertainty, speculation, and more. Previous studies that address modality detection in NLP often restrict modal expressions to a closed syntactic class, and the modal sense labels are vastly different across different studies, lacking an accepted standard. Furthermore, these senses are often analyzed independently of the events that they modify. This work builds on the theoretical foundations of the Georgetown Gradable Modal Expressions (GME) work by Rubinstein et al. (2013) to propose an event-based modality detection task where modal expressions can be words of any syntactic class and sense labels are drawn from a comprehensive taxonomy which harmonizes the modal concepts contributed by the different studies. We present ...
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URL: https://dx.doi.org/10.48448/hrdm-cb22 https://underline.io/lecture/25957-the-possible,-the-plausible,-and-the-desirable-event-based-modality-detection-for-language-processing
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Formae reformandae: for a reorganisation of verb form annotation in Universal Dependencies illustrated by the specific case of Latin
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Cecchini, Flavio Massimiliano (orcid:0000-0001-9029-1822). - : Association for Computational Linguistics, 2021. : country:BGR, 2021. : place:Sofia, 2021
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RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding.
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