Yogarshi Vyas

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 35

Top Topics

Language Identification

Neural Architectures

Top Venues

CodeSwitch@EMNLP

Publications

Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
Taxonomy Expansion for Named Entity Recognition. CoRR (2023)
Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas
A Multi-Modal Multilingual Benchmark for Document Image Classification. EMNLP (Findings) (2023)
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. EACL (Findings) (2023)
Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros
Taxonomy Expansion for Named Entity Recognition. EMNLP (2023)
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
Characterizing and Measuring Linguistic Dataset Drift. CoRR (2023)
Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. EACL (2023)
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth
Characterizing and Measuring Linguistic Dataset Drift. ACL (1) (2023)
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization. CoRR (2023)
Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas
A Multi-Modal Multilingual Benchmark for Document Image Classification. CoRR (2023)
Sharon Levy, Neha John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. EMNLP (2023)
Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth
Comparing Biases and the Impact of Multilingual Training across Multiple Languages. CoRR (2023)
Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. ACL (Findings) (2023)
Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views. CoRR (2023)
Hyunji Hayley Park, Yogarshi Vyas, Kashif Shah
Efficient Classification of Long Documents Using Transformers. CoRR (2022)
Hyunji Hayley Park, Yogarshi Vyas, Kashif Shah
Efficient Classification of Long Documents Using Transformers. ACL (2) (2022)
Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros
Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents. CoRR (2022)
Yogarshi Vyas, Miguel Ballesteros
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. NAACL-HLT (2021)
Paula Czarnowska, Yogarshi Vyas, Kashif Shah
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics. Trans. Assoc. Comput. Linguistics 9 (2021)
Paula Czarnowska, Yogarshi Vyas, Kashif Shah
Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics. CoRR (2021)
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. CoRR (2020)
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. EMNLP (1) (2020)
Yogarshi Vyas, Miguel Ballesteros
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas. CoRR (2020)
Yogarshi Vyas, Marine Carpuat
Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation. EMNLP/IJCNLP (1) (2019)
Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth
Robust Cross-Lingual Hypernymy Detection Using Dependency Context. NAACL-HLT (2018)
Shyam Upadhyay, Yogarshi Vyas, Marine Carpuat, Dan Roth
Robust Cross-lingual Hypernymy Detection using Dependency Context. CoRR (2018)
Yogarshi Vyas, Xing Niu, Marine Carpuat
Identifying Semantic Divergences in Parallel Text without Annotations. NAACL-HLT (2018)
Yogarshi Vyas, Xing Niu, Marine Carpuat
Identifying Semantic Divergences in Parallel Text without Annotations. CoRR (2018)
Marine Carpuat, Yogarshi Vyas, Xing Niu
Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation. NMT@ACL (2017)
Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CVPR (2017)
Yogarshi Vyas, Marine Carpuat
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection. *SEM (2017)
Yogarshi Vyas, Marine Carpuat
Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment. HLT-NAACL (2016)
Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik
CLIP$@$UMD at SemEval-2016 Task 8: Parser for Abstract Meaning Representation using Learning to Search. SemEval@NAACL-HLT (2016)
Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan L. Boyd-Graber, Hal Daumé III, Larry S. Davis
The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives. CoRR (2016)
Amittai Axelrod, Yogarshi Vyas, Marianna J. Martindale, Marine Carpuat
Class-based N-gram language difference models for data selection. IWSLT (2015)
Sudha Rao, Yogarshi Vyas, Hal Daumé III, Philip Resnik
Parser for Abstract Meaning Representation using Learning to Search. CoRR (2015)
Gokul Chittaranjan, Yogarshi Vyas, Kalika Bali, Monojit Choudhury
Word-level Language Identification using CRF: Code-switching Shared Task Report of MSR India System. CodeSwitch@EMNLP (2014)
Rishiraj Saha Roy, Yogarshi Vyas, Niloy Ganguly, Monojit Choudhury
Improving unsupervised query segmentation using parts-of-speech sequence information. SIGIR (2014)
Yogarshi Vyas, Spandana Gella, Jatin Sharma, Kalika Bali, Monojit Choudhury
POS Tagging of English-Hindi Code-Mixed Social Media Content. EMNLP (2014)
Kalika Bali, Jatin Sharma, Monojit Choudhury, Yogarshi Vyas
"I am borrowing ya mixing ?" An Analysis of English-Hindi Code Mixing in Facebook. CodeSwitch@EMNLP (2014)