Search Results for author: Viet Lai

Found 9 papers, 3 papers with code

BehanceCC: A ChitChat Detection Dataset For Livestreaming Video Transcripts

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.

Learning Prototype Representations Across Few-Shot Tasks for Event Detection

1 code implementation EMNLP 2021 Viet Lai, Franck Dernoncourt, Thien Huu Nguyen

We address the sampling bias and outlier issues in few-shot learning for event detection, a subtask of information extraction.

Event Detection Few-Shot Learning

SemEval 2022 Task 12: Symlink - Linking Mathematical Symbols to their Descriptions

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.

Event Detection for Suicide Understanding

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.

Event Detection

BizBench: A Quantitative Reasoning Benchmark for Business and Finance

no code implementations11 Nov 2023 Rik Koncel-Kedziorski, Michael Krumdick, Viet Lai, Varshini Reddy, Charles Lovering, Chris Tanner

We demonstrate that the current bottleneck in performance is due to LLMs' limited business and financial understanding, highlighting the value of a challenging benchmark for quantitative reasoning within this domain.

Code Generation Program Synthesis +2

Unleash GPT-2 Power for Event Detection

no code implementations ACL 2021 Amir Pouran Ben Veyseh, Viet Lai, Franck Dernoncourt, Thien Huu Nguyen

To prevent the noises inevitable in automatically generated data from hampering training process, we propose to exploit a teacher-student architecture in which the teacher is supposed to learn anchor knowledge from the original data.

Event Detection Language Modelling

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