no code implementations • EMNLP (Louhi) 2020 • Kristin Wright-Bettner, Chen Lin, Timothy Miller, Steven Bethard, Dmitriy Dligach, Martha Palmer, James H. Martin, Guergana Savova
We present refinements over existing temporal relation annotations in the Electronic Medical Record clinical narrative.
no code implementations • NAACL (BEA) 2022 • Abhijit Suresh, Jennifer Jacobs, Margaret Perkoff, James H. Martin, Tamara Sumner
“Talk moves” are specific discursive strategies used by teachers and students to facilitate conversations in which students share their thinking, and actively consider the ideas of others, and engage in rich discussions.
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 • 25 Feb 2023 • Jon Z. Cai, Brendan King, Margaret Perkoff, Shiran Dudy, Jie Cao, Marie Grace, Natalia Wojarnik, Ananya Ganesh, James H. Martin, Martha Palmer, Marilyn Walker, Jeffrey Flanigan
DDA combines and adapts features from existing dialogue annotation frameworks, and emphasizes the multi-relational response structure of dialogues in addition to the dialogue acts and rhetorical relations.
1 code implementation • LREC 2022 • Abhijit Suresh, Jennifer Jacobs, Charis Harty, Margaret Perkoff, James H. Martin, Tamara Sumner
This paper describes the TalkMoves dataset, composed of 567 human-annotated K-12 mathematics lesson transcripts (including entire lessons or portions of lessons) derived from video recordings.
no code implementations • 29 Apr 2021 • Abhijit Suresh, Jennifer Jacobs, Vivian Lai, Chenhao Tan, Wayne Ward, James H. Martin, Tamara Sumner
TalkMoves is an innovative application designed to support K-12 mathematics teachers to reflect on, and continuously improve their instructional practices.
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 • LREC 2016 • Franco Salvetti, John B. Lowe, James H. Martin
We present an approach to creating corpora for use in detecting deception in text, including a discussion of the challenges peculiar to this task.
no code implementations • LREC 2012 • William J. Corvey, Sudha Verma, Sarah Vieweg, Martha Palmer, James H. Martin
In times of mass emergency, vast amounts of data are generated via computer-mediated communication (CMC) that are difficult to manually collect and organize into a coherent picture.