468 citations · 482 across the 6 of their papers we have counts for
6 papers · 1 filter
We need to talk about random seeds
Steven Bethard
Modern neural network libraries all take as a hyperparameter a random seed, typically used to determine the initial state of the model parameters. This opinion piece argues that th…
Better Retrieval May Not Lead to Better Question Answering
Zhengzhong Liang, Tushar Khot, Steven Bethard +2
Considerable progress has been made recently in open-domain question answering (QA) problems, which require Information Retrieval (IR) and Reading Comprehension (RC). A popular app…
TEAM-Atreides at SemEval-2022 Task 11: On leveraging data augmentation and ensemble to recognize complex Named Entities in Bangla
Nazia Tasnim, Md. Istiak Hossain Shihab, Asif Shahriyar Sushmit +2
Many areas, such as the biological and healthcare domain, artistic works, and organization names, have nested, overlapping, discontinuous entity mentions that may even be syntactic…
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering
Vikas Yadav, Steven Bethard, Mihai Surdeanu
Evidence retrieval is a critical stage of question answering (QA), necessary not only to improve performance, but also to explain the decisions of the corresponding QA method. We i…
Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering
Vikas Yadav, Steven Bethard, Mihai Surdeanu
We propose an unsupervised strategy for the selection of justification sentences for multi-hop question answering (QA) that (a) maximizes the relevance of the selected sentences, (…
A Survey on Recent Advances in Named Entity Recognition from Deep Learning models
Vikas Yadav, Steven Bethard
Named Entity Recognition (NER) is a key component in NLP systems for question answering, information retrieval, relation extraction, etc. NER systems have been studied and develope…