1 code implementation • Findings (NAACL) 2022 • Viet Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Nguyen
This work presents a new human-annotated corpus, called BehancePR, for punctuation restoration in livestreaming video transcripts.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • LREC 2022 • Viet Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Nguyen
Livestreaming videos have become an effective broadcasting method for both video sharing and educational purposes.
1 code implementation • LREC 2022 • Amir Pouran Ben Veyseh, Viet Lai, Franck Dernoncourt, Thien Nguyen
Question-Answer (QA) is one of the effective methods for storing knowledge which can be used for future retrieval.
no code implementations • SemEval (NAACL) 2022 • Viet Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Nguyen
We describe Symlink, a SemEval shared task of extracting mathematical symbols and their descriptions from LaTeX source of scientific documents.
no code implementations • Findings (NAACL) 2022 • Luis Guzman-Nateras, Viet Lai, Amir Pouran Ben Veyseh, Franck Dernoncourt, Thien Nguyen
In particular, we introduce SuicideED: a new dataset for the ED task that features seven suicidal event types to comprehensively capture suicide actions and ideation, and general risk and protective factors.
no code implementations • Findings (ACL) 2022 • Amir Pouran Ben Veyseh, Ning Xu, Quan Tran, Varun Manjunatha, Franck Dernoncourt, Thien Nguyen
Toxic span detection is the task of recognizing offensive spans in a text snippet.
no code implementations • Findings (ACL) 2022 • Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, Bonan Min, Thien Nguyen
Event Argument Extraction (EAE) is one of the sub-tasks of event extraction, aiming to recognize the role of each entity mention toward a specific event trigger.
no code implementations • NAACL 2022 • Minh Van Nguyen, Bonan Min, Franck Dernoncourt, Thien Nguyen
However, previous JointIE models often assume heuristic manually-designed dependency between the task instances and mean-field factorization for the joint distribution of instance labels, thus unable to capture optimal dependencies among instances and labels to improve representation learning and IE performance.
no code implementations • NAACL 2022 • Luis Guzman-Nateras, Minh Van Nguyen, Thien Nguyen
In this work, we focus on Cross-Lingual Event Detection where a model is trained on data from a \textit{source} language but its performance is evaluated on data from a second, \textit{target}, language.
no code implementations • *SEM (NAACL) 2022 • Amir Pouran Ben Veyseh, Thien Nguyen
Event Detection (ED) aims to identify mentions/triggers of real world events in text.
1 code implementation • *SEM (NAACL) 2022 • Hieu Man, Minh Nguyen, Thien Nguyen
To facilitate the multi-task learning, we cast ECI into a generation problem that aims to generate both causal relation and dependency path words from input sentence.
no code implementations • TU (COLING) 2022 • Minh Van Nguyen, Franck Dernoncourt, Thien Nguyen
As a result, such MT systems could fail to translate livestreaming video transcripts, where text is often shorter and might be grammatically incorrect.
no code implementations • COLING (CreativeSumm) 2022 • Nataliia Kees, Thien Nguyen, Tobias Eder, Georg Groh
This paper presents our entry to the CreativeSumm 2022 shared task.
no code implementations • 21 Oct 2022 • Thien Nguyen, Nathalie Tran, Liuhui Deng, Thiago Fraga da Silva, Matthew Radzihovsky, Roger Hsiao, Henry Mason, Stefan Braun, Erik McDermott, Dogan Can, Pawel Swietojanski, Lyan Verwimp, Sibel Oyman, Tresi Arvizo, Honza Silovsky, Arnab Ghoshal, Mathieu Martel, Bharat Ram Ambati, Mohamed Ali
Code-switching describes the practice of using more than one language in the same sentence.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 27 Jan 2021 • Alexander McCaskey, Thien Nguyen
We demonstrate the utility of the Multi-Level Intermediate Representation (MLIR) for quantum computing.
Quantum Physics Programming Languages
no code implementations • 20 Jan 2021 • Thien Nguyen, Lindsay Bassman, Dmitry Lyakh, Alexander McCaskey, Vicente Leyton-Ortega, Raphael Pooser, Wael Elwasif, Travis S. Humble, Wibe A. de Jong
Subsequently, it allows a synthesis of new hybrid algorithms and workflows via the extension, specialization, and dynamic customization of the abstract core classes defined by our design.
Quantum Physics