On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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2 results for “SemEval-2020”

BUT-FIT at SemEval-2020 Task 5: Automatic detection of counterfactual statements with deep pre-trained language representation modelscs.CL

RoBERTa model detects counterfactual statements in text.

problem Detecting and extracting counterfactual statements from text.

method Used RoBERTa language representation model for both subtasks.

result RoBERTa achieved top performance in both subtasks at SemEval-2020.

counterfactual RoBERTa language representation SemEval-2020 deep learning

2020-07-28abs ↗pdf ↗

Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysiscs.CL

Paper tackles counterfactual sentence detection and evaluation.

problem Detect and evaluate counterfactual sentences in natural language.

method Used a BERT base model for classification and a hybrid BERT Multi-Layer Perceptron for sequence identification. Introduced cascaded linear inputs to improve performance.

result Achieved an F1 score of 85.00% in Task 1 and 83.90% in Task 2.

BERT counterfactual language modeling cascaded inputs sequence identification

2020-05-18abs ↗pdf ↗