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Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation ...
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Reordering Examples Helps during Priming-based Few-Shot Learning ...
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One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers ...
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On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers ...
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Knowledge-based neural pre-training for Intelligent Document Management ...
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Improving Machine Translation of Arabic Dialects through Multi-Task Learning ...
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Team “NoConflict” at CASE 2021 Task 1: Pretraining for Sentence-Level Protest Event Detection ...
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Abstract:
An ever-increasing amount of text, in the form of social media posts and news articles, gives rise to new challenges and opportunities for the automatic extraction of socio-political events. In this paper, we present our submission to the Shared Tasks on Socio-Political and Crisis Events Detection, Task 1, Multilingual Protest News Detection, Subtask 2, Event Sentence Classification, of CASE @ ACL-IJCNLP 2021. In our submission, we utilize the RoBERTa model with additional pretraining, and achieve the best F1 score of 0.8532 in event sentence classification in English and the second-best F1 score of 0.8700 in Portuguese via simple translation. We analyze the failure cases of our model. We also conduct an ablation study to show the effect of choosing the right pretrained language model, adding additional training data and data augmentation. ...
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Keyword:
Computational Linguistics; Condensed Matter Physics; Data Acquisition; FOS Physical sciences; FOS Sociology; Information and Knowledge Engineering; Machine Learning; Neural Network; Semantics; Sociology
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URL: https://dx.doi.org/10.48448/5dff-rn78 https://underline.io/lecture/29895-team-noconflict-at-case-2021-task-1-pretraining-for-sentence-level-protest-event-detection
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DAAI at CASE 2021 Task 1: Transformer-based Multilingual Socio-political and Crisis Event Detection ...
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Hell Hath No Fury? Correcting Bias in the NRC Emotion Lexicon ...
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System Description for the CommonGen task with the POINTER model ...
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Compositional Lexical Semantics In Natural Language Inference
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In: Publicly Accessible Penn Dissertations (2017)
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A Uniform Approach to Analogies, Synonyms, Antonyms, and Associations
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The Latent Relation Mapping Engine: Algorithm and Experiments [<Journal>]
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