2 citations · 5 across the 12 of their papers we have counts for
13 papers
Beyond Ranked Lists: The SARAL Framework for Cross-Lingual Document Set Retrieval
Shantanu Agarwal, Joel Barry, Elizabeth Boschee +1
Machine Translation for English Retrieval of Information in Any Language (MATERIAL) is an IARPA initiative targeted to advance the state of cross-lingual information retrieval (CLI…
Separating Style from Substance: Enhancing Cross-Genre Authorship Attribution through Data Selection and Presentation
Steven Fincke, Elizabeth Boschee
The task of deciding whether two documents are written by the same author is challenging for both machines and humans. This task is even more challenging when the two documents are…
Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detection
Steven Fincke, Adrien Bibal, Elizabeth Boschee
Large Language Models (LLMs) such as GPT-4 have shown enough promise in the few-shot learning context to suggest use in the generation of "silver" data and refinement of new ontolo…
CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath, Kartik Pandey, Elizabeth Boschee +1
Authorship Verification (AV) (do two documents have the same author?) is essential in many real-life applications. AV is often used in privacy-sensitive domains that require an off…
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling
Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham +2
Multimodal event argument role labeling (EARL), a task that assigns a role for each event participant (object) in an image is a complex challenge. It requires reasoning over the en…
Massively Multi-Lingual Event Understanding: Extraction, Visualization, and Search
Chris Jenkins, Shantanu Agarwal, Joel Barry +2
In this paper, we present ISI-Clear, a state-of-the-art, cross-lingual, zero-shot event extraction system and accompanying user interface for event visualization & search. Using on…
Impact of Subword Pooling Strategy on Cross-lingual Event Detection
Shantanu Agarwal, Steven Fincke, Chris Jenkins +2
Pre-trained multilingual language models (e.g., mBERT, XLM-RoBERTa) have significantly advanced the state-of-the-art for zero-shot cross-lingual information extraction. These langu…
Language Model Priming for Cross-Lingual Event Extraction
Steven Fincke, Shantanu Agarwal, Scott Miller +1
We present a novel, language-agnostic approach to "priming" language models for the task of event extraction, providing particularly effective performance in low-resource and zero-…
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar +6
Deep neural models for named entity recognition (NER) have shown impressive results in overcoming label scarcity and generalizing to unseen entities by leveraging distant supervisi…
DEGREE: A Data-Efficient Generation-Based Event Extraction Model
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee +4
Event extraction requires high-quality expert human annotations, which are usually expensive. Therefore, learning a data-efficient event extraction model that can be trained with o…
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin +6
Successfully training a deep neural network demands a huge corpus of labeled data. However, each label only provides limited information to learn from and collecting the requisite…
Learning A Unified Named Entity Tagger From Multiple Partially Annotated Corpora For Efficient Adaptation
Xiao Huang, Li Dong, Elizabeth Boschee +1
Named entity recognition (NER) identifies typed entity mentions in raw text. While the task is well-established, there is no universally used tagset: often, datasets are annotated…
Learning to Translate for Multilingual Question Answering
Ferhan Ture, Elizabeth Boschee
In multilingual question answering, either the question needs to be translated into the document language, or vice versa. In addition to direction, there are multiple methods to pe…