Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Palmer Martha"'
This paper is dedicated to the design and evaluation of the first AMR parser tailored for clinical notes. Our objective was to facilitate the precise transformation of the clinical notes into structured AMR expressions, thereby enhancing the interpre
Externí odkaz:
http://arxiv.org/abs/2405.09153
To understand the complexity of global events, one must navigate a web of interwoven sub-events, identifying those most impactful elements within the larger, abstract macro-event framework at play. This concept can be extended to the field of natural
Externí odkaz:
http://arxiv.org/abs/2405.09733
Autor:
Ahmed, Shafiuddin Rehan, Baker, George Arthur, Judge, Evi, Regan, Michael, Wright-Bettner, Kristin, Palmer, Martha, Martin, James H.
Event Coreference Resolution (ECR) as a pairwise mention classification task is expensive both for automated systems and manual annotations. The task's quadratic difficulty is exacerbated when using Large Language Models (LLMs), making prompt enginee
Externí odkaz:
http://arxiv.org/abs/2404.08656
This paper presents a novel Cross-document Abstract Meaning Representation (X-AMR) annotation tool designed for annotating key corpus-level event semantics. Leveraging machine assistance through the Prodigy Annotation Tool, we enhance the user experi
Externí odkaz:
http://arxiv.org/abs/2403.15407
Autor:
Nguyen, Khanh Duy, Zhang, Zixuan, Suchocki, Reece, Li, Sha, Palmer, Martha, Brown, Susan, Han, Jiawei, Ji, Heng
In this paper, we present RESIN-EDITOR, an interactive event graph visualizer and editor designed for analyzing complex events. Our RESIN-EDITOR system allows users to render and freely edit hierarchical event graphs extracted from multimedia and mul
Externí odkaz:
http://arxiv.org/abs/2312.03093
Autor:
Cai, Jon Z., Ahmed, Shafiuddin Rehan, Bonn, Julia, Wright-Bettner, Kristin, Palmer, Martha, Martin, James H.
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. CAMRA offers a novel approach to deep lexical semantics annot
Externí odkaz:
http://arxiv.org/abs/2311.10928
Semantic role labeling (SRL) has multiple disjoint label sets, e.g., VerbNet and PropBank. Creating these datasets is challenging, therefore a natural question is how to use each one to help the other. Prior work has shown that cross-task interaction
Externí odkaz:
http://arxiv.org/abs/2305.14600
The progress of event extraction research has been hindered by the absence of wide-coverage, large-scale datasets. To make event extraction systems more accessible, we build a general-purpose event detection dataset GLEN, which covers 205K event ment
Externí odkaz:
http://arxiv.org/abs/2303.09093
Autor:
Zhang, Tianyi, Tham, Isaac, Hou, Zhaoyi, Ren, Jiaxuan, Zhou, Liyang, Xu, Hainiu, Zhang, Li, Martin, Lara J., Dror, Rotem, Li, Sha, Ji, Heng, Palmer, Martha, Brown, Susan, Suchocki, Reece, Callison-Burch, Chris
Schema induction builds a graph representation explaining how events unfold in a scenario. Existing approaches have been based on information retrieval (IR) and information extraction(IE), often with limited human curation. We demonstrate a human-in-
Externí odkaz:
http://arxiv.org/abs/2302.13048
Autor:
Cai, Jon Z., King, Brendan, Perkoff, Margaret, Dudy, Shiran, Cao, Jie, Grace, Marie, Wojarnik, Natalia, Ganesh, Ananya, Martin, James H., Palmer, Martha, Walker, Marilyn, Flanigan, Jeffrey
Publikováno v:
The 13th International Workshop on Spoken Dialogue Systems Technology 2023
In this paper, we introduce Dependency Dialogue Acts (DDA), a novel framework for capturing the structure of speaker-intentions in multi-party dialogues. DDA combines and adapts features from existing dialogue annotation frameworks, and emphasizes th
Externí odkaz:
http://arxiv.org/abs/2302.12944