Papers by Iftitahu Nimah

2 papers
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection (2021.findings-emnlp)

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Challenge: Existing methods to detect out-of-domain (OOD) inputs are limited and lack data.
Approach: They propose a new architecture that extends Prototypical Networks to process in-domain and OOD sentences via Mutual Information Maximization objective.
Outcome: The proposed method significantly improves performance up to 20% for OOD detection in low resource settings of text classification.
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist (2023.acl-long)

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Challenge: a systematic review of automatic evaluation metrics for Natural Language Generation (NLG) shows that task-agnostic metrics have a weak correlation with human .
Approach: They propose a framework to assess the effectiveness of automatic metrics in three NLG tasks . they propose task-agnostic and human-aligned metrics to be used for evaluation .
Outcome: The proposed framework provides access to the evaluation tools for three NLG tasks.

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