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Miguel Ballesteros

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning



Vishakh Padmakumar , Leonard Lausen , Miguel Ballesteros , Sheng Zha , He He , George Karypis

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* Accepted to appear at NAACL 2022 
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Label Semantics for Few Shot Named Entity Recognition



Jie Ma , Miguel Ballesteros , Srikanth Doss , Rishita Anubhai , Sunil Mallya , Yaser Al-Onaizan , Dan Roth

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* Findings of ACL 2022 
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A Bag of Tricks for Dialogue Summarization



Muhammad Khalifa , Miguel Ballesteros , Kathleen McKeown

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* EMNLP 2021 - short paper 
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How much pretraining data do language models need to learn syntax?



Laura Pérez-Mayos , Miguel Ballesteros , Leo Wanner

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* To be published in proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) 
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Sequential Cross-Document Coreference Resolution



Emily Allaway , Shuai Wang , Miguel Ballesteros

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On the Evolution of Syntactic Information Encoded by BERT's Contextualized Representations



Laura Pérez-Mayos , Roberto Carlini , Miguel Ballesteros , Leo Wanner

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Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings



Kailash Karthik Saravanakumar , Miguel Ballesteros , Muthu Kumar Chandrasekaran , Kathleen McKeown

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* To appear in Proceedings of The 16th Conference of the European Chapter of the Association for Computational Linguistics 
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To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging



Kasturi Bhattacharjee , Miguel Ballesteros , Rishita Anubhai , Smaranda Muresan , Jie Ma , Faisal Ladhak , Yaser Al-Onaizan

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* Accepted in the Proceedings of 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)(https://2020.emnlp.org/papers/main) 
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Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas



Yogarshi Vyas , Miguel Ballesteros

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