7 citations · 10 across the 5 of their papers we have counts for
5 papers
KeyGen2Vec: Learning Document Embedding via Multi-label Keyword Generation in Question-Answering
Iftitahu Ni'mah, Samaneh Khoshrou, Vlado Menkovski +1
Representing documents into high dimensional embedding space while preserving the structural similarity between document sources has been an ultimate goal for many works on text re…
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski +1
In this study, we analyze automatic evaluation metrics for Natural Language Generation (NLG), specifically task-agnostic metrics and human-aligned metrics. Task-agnostic metrics, s…
ProtoInfoMax: Prototypical Networks with Mutual Information Maximization for Out-of-Domain Detection
Iftitahu Ni'mah, Meng Fang, Vlado Menkovski +1
The ability to detect Out-of-Domain (OOD) inputs has been a critical requirement in many real-world NLP applications. For example, intent classification in dialogue systems. The re…
BSDAR: Beam Search Decoding with Attention Reward in Neural Keyphrase Generation
Iftitahu Ni'mah, Vlado Menkovski, Mykola Pechenizkiy
This study mainly investigates two common decoding problems in neural keyphrase generation: sequence length bias and beam diversity. To tackle the problems, we introduce a beam sea…
Looking Deeper into Deep Learning Model: Attribution-based Explanations of TextCNN
Wenting Xiong, Iftitahu Ni'mah, Juan M. G. Huesca +3
Layer-wise Relevance Propagation (LRP) and saliency maps have been recently used to explain the predictions of Deep Learning models, specifically in the domain of text classificati…