Papers by George Arthur Baker
In Search of the Lost Arch in Dialogue: A Dependency Dialogue Acts Corpus for Multi-Party Dialogues (2025.findings-acl)
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Jon Cai, Brendan King, Peyton Cameron, Susan Windisch Brown, Miriam Eckert, Dananjay Srinivas, George Arthur Baker, V Kate Everson, Martha Palmer, James Martin, Jeffrey Flanigan
| Challenge: | Understanding speaker intentions remains a challenge in NLP . a number of corpora annotated using theoretical frameworks of dialogue focus on utterance-level labeling of speaker intent, missing wider context, or the rhetorical structure of a dialogue. |
| Approach: | They propose to annotate a corpus of 33 dialogues and over 9,000 utterance units using the Dependency Dialogue Acts framework. |
| Outcome: | The proposed corpus spans four genres of multi-party conversations from different modalities. |
Molecular String Representation Preferences in Pretrained LLMs: A Comparative Study in Zero- & Few-Shot Molecular Property Prediction (2025.emnlp-main)
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| Challenge: | Molecular property prediction plays a crucial role in medicinal chemistry . traditional machine learning approaches do not involve natural language . |
| Approach: | They compare performance of four state-of-the-art LLMs on molecular property prediction tasks . they find statistically significant zero- and few-shot preferences for InChI and IUPAC names . |
| Outcome: | The proposed model outperforms the current model on molecular property prediction tasks . the model's representation preferences are based on representation granularity, tokenization and prevalence in pretraining corpora . |
Linear Cross-document Event Coreference Resolution with X-AMR (2024.lrec-main)
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Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge, Michael Reagan, Kristin Wright-Bettner, Martha Palmer, James H. Martin
| Challenge: | Event Coreference Resolution (ECR) is expensive both for automated systems and manual annotations. |
| Approach: | They propose a graphical representation of events anchored around individual mentions using a cross-document version of Abstract Meaning Representation. |
| Outcome: | The proposed model is anchored around individual mentions using a cross-document version of Abstract Meaning Representation. |
MALAMUTE: A Multilingual, Highly-granular, Template-free, Education-based Probing Dataset (2025.findings-acl)
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| Challenge: | Existing cloze-style benchmarks for language models lack specific, granular areas of knowledge and often rely on templates that can bias models. |
| Approach: | They propose a multilingual, template-free, and highly granular probing dataset comprising expert-written, peer-reviewed probes from 71 university-level textbooks across three languages. |
| Outcome: | The proposed dataset covers eight domains, each with up to 14 subdomains, further broken down into concepts and concept-based prompts. |
A System for Dynamically Tracking Content Moderation on Reddit (2026.acl-demo)
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| Challenge: | Recent work in social media platforms delegate content moderation decisions to users and communities. |
| Approach: | They propose a software system for the dynamic monitoring of Reddit posts, communities, and moderation actions to enable scalable and reproducible research on decentralized platform governance and content moderation. |
| Outcome: | The proposed system is the only available solution for general-purpose, real-time, policy-compliant longitudinal data collection on Reddit. |
Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles (2024.lrec-main)
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Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Arthur Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy
| Challenge: | Existing methods for cross-document coreference resolution do not provide images for all mentions of events. |
| Approach: | They propose a multimodal cross-document event coreference resolution method that integrates visual and textual cues with a simple linear map between vision and language models. |
| Outcome: | The proposed method improves on a popular ECB+ and AIDA datasets. |