161 citations · 186 across the 14 of their papers we have counts for
18 papers
MEE: A Novel Multilingual Event Extraction Dataset
Amir Pouran Ben Veyseh, Javid Ebrahimi, Franck Dernoncourt +1
Event Extraction (EE) is one of the fundamental tasks in Information Extraction (IE) that aims to recognize event mentions and their arguments (i.e., participants) from text. Due t…
Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering
Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Huu Nguyen
Streaming videos is one of the methods for creators to share their creative works with their audience. In these videos, the streamer share how they achieve their final objective by…
Improving Keyphrase Extraction with Data Augmentation and Information Filtering
Amir Pouran Ben Veyseh, Nicole Meister, Franck Dernoncourt +1
Keyphrase extraction is one of the essential tasks for document understanding in NLP. While the majority of the prior works are dedicated to the formal setting, e.g., books, news o…
Symlink: A New Dataset for Scientific Symbol-Description Linking
Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt +1
Mathematical symbols and descriptions appear in various forms across document section boundaries without explicit markup. In this paper, we present a new large-scale dataset that e…
MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction
Amir Pouran Ben Veyseh, Nicole Meister, Seunghyun Yoon +3
Acronym extraction is the task of identifying acronyms and their expanded forms in texts that is necessary for various NLP applications. Despite major progress for this task in rec…
SemEval 2022 Task 12: Symlink- Linking Mathematical Symbols to their Descriptions
Viet Dac Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt +1
Given the increasing number of livestreaming videos, automatic speech recognition and post-processing for livestreaming video transcripts are crucial for efficient data management…