1 code implementation • 13 Apr 2024 • Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy
We establish three methods that incorporate images and text for coreference: 1) a standard fused model with finetuning, 2) a novel linear mapping method without finetuning and 3) an ensembling approach based on splitting mention pairs by semantic and discourse-level difficulty.
1 code implementation • 25 Mar 2024 • Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge, Michael Regan, Kristin Wright-Bettner, Martha Palmer, James H. Martin
We then linearize the ECR with a novel multi-hop coreference algorithm over the event graphs.
1 code implementation • 29 Feb 2024 • Shafiuddin Rehan Ahmed, Jon Z. Cai, Martha Palmer, James H. Martin
This paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics.
no code implementations • 18 Nov 2023 • Jon Z. Cai, Shafiuddin Rehan Ahmed, Julia Bonn, Kristin Wright-Bettner, Martha Palmer, James H. Martin
In this paper, we introduce CAMRA (Copilot for AMR Annotatations), a cutting-edge web-based tool designed for constructing Abstract Meaning Representation (AMR) from natural language text.
1 code implementation • 6 Jun 2023 • Shafiuddin Rehan Ahmed, Abhijnan Nath, Michael Regan, Adam Pollins, Nikhil Krishnaswamy, James H. Martin
Annotating cross-document event coreference links is a time-consuming and cognitively demanding task that can compromise annotation quality and efficiency.
1 code implementation • 9 May 2023 • Shafiuddin Rehan Ahmed, Abhijnan Nath, James H. Martin, Nikhil Krishnaswamy
Event Coreference Resolution (ECR) is the task of linking mentions of the same event either within or across documents.
no code implementations • 15 Feb 2021 • Shafiuddin Rehan Ahmed, James H. Martin
Event coreference continues to be a challenging problem in information extraction.
no code implementations • 11 Mar 2020 • Adam Wiemerslage, Shafiuddin Rehan Ahmed
In this paper, we propose a pipeline to convert grade school level algebraic word problem into program of a formal languageA-IMP.