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Found 11 papers, 4 papers with code
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres
As NLP models become increasingly capable of understanding documents in terms of coherent entities rather than strings, obtaining the most salient entities for each document is not only an important end task in itself but also vital for Information Retrieval (IR) and other downstream applications such as controllable summarization.
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
We evaluate state-of-the-art NLP systems on GENTLE and find severe degradation for at least some genres in their performance on all tasks, which indicates GENTLE's utility as an evaluation dataset for NLP systems.
LB-SimTSC: An Efficient Similarity-Aware Graph Neural Network for Semi-Supervised Time Series Classification
Recently, Similarity-aware Time Series Classification (SimTSC) is proposed to address this problem by using a graph neural network classification model on the graph generated from pairwise Dynamic Time Warping (DTW) distance of batch data.
PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series
During the process, data sharing is often involved to allow the third-party modelers to perform specific time series data mining (TSDM) tasks based on the need of data owner.
Leveraging World Knowledge in Implicit Hate Speech Detection
While much attention has been paid to identifying explicit hate speech, implicit hateful expressions that are disguised in coded or indirect language are pervasive and remain a major challenge for existing hate speech detection systems.
Robust Time Series Chain Discovery with Incremental Nearest Neighbors
Inspired by a recent work that tracks how the nearest neighbor of a time series subsequence changes over time, we introduce a new TSC definition which is much more robust to noise in the data, in the sense that they can better locate the evolving patterns while excluding the non-evolving ones.
WikiGUM: Exhaustive Entity Linking for Wikification in 12 Genres
Previous work on Entity Linking has focused on resources targeting non-nested proper named entity mentions, often in data from Wikipedia, i. e. Wikification.
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Nanoparticle seeded glancing-angle deposition of tip-handle heterostructures for manipulation of individual nanoparticles
The controllable handling of an arbitrary single particle of matter with sub-100 nanometer (nm) dimensions is an essential but unsolved scientific challenge.
Materials Science Mesoscale and Nanoscale Physics
Semantic Discord: Finding Unusual Local Patterns for Time Series
Finding anomalous subsequence in a long time series is a very important but difficult problem.
Ensemble Grammar Induction For Detecting Anomalies in Time Series
We demonstrate that the proposed ensemble approach can outperform existing grammar-induction-based approaches with different criteria for selection of parameter values.
Discovering Subdimensional Motifs of Different Lengths in Large-Scale Multivariate Time Series
Despite the significant progress that has been made in recent single dimensional variable-length motif discovery work, detecting variable-length \textit{subdimensional motifs}---patterns that are simultaneously occurring only in a subset of dimensions in multivariate time series---remains a difficult task.
