Search Results for author:
Found 19 papers, 5 papers with code
Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies
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.
Cross-Lingual Event Detection via Optimized Adversarial Training
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.
BehanceCC: A ChitChat Detection Dataset For Livestreaming Video Transcripts
Livestreaming videos have become an effective broadcasting method for both video sharing and educational purposes.
BehanceQA: A New Dataset for Identifying Question-Answer Pairs in Video Transcripts
Question-Answer (QA) is one of the effective methods for storing knowledge which can be used for future retrieval.
Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text
Toxic span detection is the task of recognizing offensive spans in a text snippet.
Document-Level Event Argument Extraction via Optimal Transport
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.
Long Input Dialogue Summarization with Sketch Supervision for Summarization of Primetime Television Transcripts
This paper presents our entry to the CreativeSumm 2022 shared task.
Word-Label Alignment for Event Detection: A New Perspective via Optimal Transport
Event Detection (ED) aims to identify mentions/triggers of real world events in text.
Event Causality Identification via Generation of Important Context Words
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.
SemEval 2022 Task 12: Symlink - Linking Mathematical Symbols to their Descriptions
We describe Symlink, a SemEval shared task of extracting mathematical symbols and their descriptions from LaTeX source of scientific documents.
BehancePR: A Punctuation Restoration Dataset for Livestreaming Video Transcript
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
Event Detection for Suicide Understanding
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.
BehanceMT: A Machine Translation Corpus for Livestreaming Video Transcripts
As a result, such MT systems could fail to translate livestreaming video transcripts, where text is often shorter and might be grammatically incorrect.
Mastering the Craft of Data Synthesis for CodeLLMs
Large language models (LLMs) have shown impressive performance in \emph{code} understanding and generation, making coding tasks a key focus for researchers due to their practical applications and value as a testbed for LLM evaluation.
Leveraging Hierarchical Taxonomies in Prompt-based Continual Learning
Drawing inspiration from human learning behaviors, this work proposes a novel approach to mitigate catastrophic forgetting in Prompt-based Continual Learning models by exploiting the relationships between continuously emerging class data.
Machine Learning Applications of Quantum Computing: A Review
Drawing upon an in-depth analysis of 32 seminal papers, this review delves into the interplay between quantum computing and machine learning, focusing on transcending the limitations of classical computing in advanced data processing and applications.
Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation
Code-switching describes the practice of using more than one language in the same sentence.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
A MLIR Dialect for Quantum Assembly Languages
We demonstrate the utility of the Multi-Level Intermediate Representation (MLIR) for quantum computing.
Quantum Physics Programming Languages
Composable Programming of Hybrid Workflows for Quantum Simulation
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
