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Found 7 papers, 2 papers with code
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
Leveraging the assumption that learning the topic of a bug is a sub-task for detecting duplicates, we design a loss function that can jointly perform both tasks but needs supervision for only duplicate classification, achieving topic clustering in an unsupervised fashion.
Exploring Emoji Usage and Prediction Through a Temporal Variation Lens
The frequent use of Emojis on social media platforms has created a new form of multimodal social interaction.
Co-Multistage of Multiple Classifiers for Imbalanced Multiclass Learning
In this work, we propose two stochastic architectural models (CMC and CMC-M) with two layers of classifiers applicable to datasets with one and multiple skewed classes.
Recognition of Named-Event Passages in News Articles
We extend the concept of Named Entities to Named Events - commonly occurring events such as battles and earthquakes.
Key Phrase Extraction of Lightly Filtered Broadcast News
Key phrases are often used to index the document or as features in further processing.
Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization
We also experimented with 2 forms of document pre-processing that we call light filtering and co-reference normalization.
Keyphrase Cloud Generation of Broadcast News
This paper describes an enhanced automatic keyphrase extraction method applied to Broadcast News.
