Acronym identification and disambiguation shared tasks for scientific document understanding
Acronyms are the short forms of longer phrases and they are frequently used in writing,
especially scholarly writing, to save space and facilitate the communication of information …
especially scholarly writing, to save space and facilitate the communication of information …
A survey on deep learning event extraction: Approaches and applications
Event extraction (EE) is a crucial research task for promptly apprehending event information
from massive textual data. With the rapid development of deep learning, EE based on deep …
from massive textual data. With the rapid development of deep learning, EE based on deep …
Event detection: Gate diversity and syntactic importance scoresfor graph convolution neural networks
Recent studies on event detection (ED) haveshown that the syntactic dependency graph
canbe employed in graph convolution neural net-works (GCN) to achieve state-of-the-art per …
canbe employed in graph convolution neural net-works (GCN) to achieve state-of-the-art per …
Graph convolutional networks for event causality identification with rich document-level structures
MT Phu, TH Nguyen - Proceedings of the 2021 conference of the …, 2021 - aclanthology.org
We study the problem of Event Causality Identification (ECI) to detect causal relation
between event mention pairs in text. Although deep learning models have recently shown …
between event mention pairs in text. Although deep learning models have recently shown …
Improving aspect-based sentiment analysis with gated graph convolutional networks and syntax-based regulation
Aspect-based Sentiment Analysis (ABSA) seeks to predict the sentiment polarity of a
sentence toward a specific aspect. Recently, it has been shown that dependency trees can …
sentence toward a specific aspect. Recently, it has been shown that dependency trees can …
Extensively matching for few-shot learning event detection
Current event detection models under super-vised learning settings fail to transfer to
newevent types. Few-shot learning has not beenexplored in event detection even though it …
newevent types. Few-shot learning has not beenexplored in event detection even though it …
What does this acronym mean? introducing a new dataset for acronym identification and disambiguation
Acronyms are the short forms of phrases that facilitate conveying lengthy sentences in
documents and serve as one of the mainstays of writing. Due to their importance, identifying …
documents and serve as one of the mainstays of writing. Due to their importance, identifying …
[PDF][PDF] Survey on graph embeddings and their applications to machine learning problems on graphs
Dealing with relational data always required significant computational resources, domain
expertise and task-dependent feature engineering to incorporate structural information into a …
expertise and task-dependent feature engineering to incorporate structural information into a …
Introducing syntactic structures into target opinion word extraction with deep learning
Targeted opinion word extraction (TOWE) is a sub-task of aspect based sentiment analysis
(ABSA) which aims to find the opinion words for a given aspect-term in a sentence. Despite …
(ABSA) which aims to find the opinion words for a given aspect-term in a sentence. Despite …
Towards generative event factuality prediction
J Murzaku, T Osborne, A Aviram… - Findings of the …, 2023 - aclanthology.org
We present a novel end-to-end generative task and system for predicting event factuality
holders, targets, and their associated factuality values. We perform the first experiments …
holders, targets, and their associated factuality values. We perform the first experiments …