526 citations · 1.1k across the 32 of their papers we have counts for
8 papers · 1 filter
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
Kasturi Bhattacharjee, Miguel Ballesteros, Rishita Anubhai +4
Leveraging large amounts of unlabeled data using Transformer-like architectures, like BERT, has gained popularity in recent times owing to their effectiveness in learning general r…
Linking Entities to Unseen Knowledge Bases with Arbitrary Schemas
Yogarshi Vyas, Miguel Ballesteros
In entity linking, mentions of named entities in raw text are disambiguated against a knowledge base (KB). This work focuses on linking to unseen KBs that do not have training data…
Transition-based Parsing with Stack-Transformers
Ramon Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem +2
Modeling the parser state is key to good performance in transition-based parsing. Recurrent Neural Networks considerably improved the performance of transition-based systems by mod…
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
Ethan Wilcox, Peng Qian, Richard Futrell +3
Humans can learn structural properties about a word from minimal experience, and deploy their learned syntactic representations uniformly in different grammatical contexts. We asse…
Resource-Enhanced Neural Model for Event Argument Extraction
Jie Ma, Shuai Wang, Rishita Anubhai +2
Event argument extraction (EAE) aims to identify the arguments of an event and classify the roles that those arguments play. Despite great efforts made in prior work, there remain…
Band edge limit of the scattering matrix for quasi-one-dimensional discrete Schrödinger operators
Miguel Ballesteros, Gerardo Franco Córdova, Guillermo Garro +1
This paper is about the scattering theory for one-dimensional matrix Schrödinger operators with a matrix potential having a finite first moment. The transmission coefficients are a…