171 citations · 178 across the 7 of their papers we have counts for
7 papers
Taxonomy Expansion for Named Entity Recognition
Karthikeyan K, Yogarshi Vyas, Jie Ma +7
Training a Named Entity Recognition (NER) model often involves fixing a taxonomy of entity types. However, requirements evolve and we might need the NER model to recognize addition…
Multilingual CheckList: Generation and Evaluation
Karthikeyan K, Shaily Bhatt, Pankaj Singh +4
Multilingual evaluation benchmarks usually contain limited high-resource languages and do not test models for specific linguistic capabilities. CheckList is a template-based evalua…
Revisiting Methods for Finding Influential Examples
Karthikeyan K, Anders Søgaard
Several instance-based explainability methods for finding influential training examples for test-time decisions have been proposed recently, including Influence Functions, TraceIn,…
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance
Karthikeyan K, Aalok Sathe, Somak Aditya +1
Multilingual language models achieve impressive zero-shot accuracies in many languages in complex tasks such as Natural Language Inference (NLI). Examples in NLI (and equivalent co…
Extending Multilingual BERT to Low-Resource Languages
Zihan Wang, Karthikeyan K, Stephen Mayhew +1
Multilingual BERT (M-BERT) has been a huge success in both supervised and zero-shot cross-lingual transfer learning. However, this success has focused only on the top 104 languages…
On the relationship between multitask neural networks and multitask Gaussian Processes
Karthikeyan K, Shubham Kumar Bharti, Piyush Rai
Despite the effectiveness of multitask deep neural network (MTDNN), there is a limited theoretical understanding on how the information is shared across different tasks in MTDNN. I…
Cross-Lingual Ability of Multilingual BERT: An Empirical Study
Karthikeyan K, Zihan Wang, Stephen Mayhew +1
Recent work has exhibited the surprising cross-lingual abilities of multilingual BERT (M-BERT) -- surprising since it is trained without any cross-lingual objective and with no ali…