Search Results for author:
Found 13 papers, 4 papers with code
SumPubMed: Summarization Dataset of PubMed Scientific Articles
Most earlier work on text summarization is carried out on news article datasets.
Deep Attentive Ranking Networks for Learning to Order Sentences
We apply our framework on two tasks: Sentence Ordering and Order Discrimination.
Video Colorization using CNNs and Keyframes extraction: An application in saving bandwidth
Later on, in this paper we show how this technique can help to save bandwidth usage to upto three times while transmitting raw colored videos.
Unsupervised Semantic Abstractive Summarization
Automatic abstractive summary generation remains a significant open problem for natural language processing.
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss
We extend the consistency of hierarchical classification algorithm over asymmetric tree distance loss.
Leveraging Distributional Semantics for Multi-Label Learning
Our approach is novel in that it highlights interesting connections between label embedding methods used for multi-label learning and paragraph/document embedding methods commonly used for learning representations of text data.
Text Summarization using Abstract Meaning Representation
With an ever increasing size of text present on the Internet, automatic summary generation remains an important problem for natural language understanding.
User Bias Removal in Review Score Prediction
Review score prediction of text reviews has recently gained a lot of attention in recommendation systems.
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
We present a feature vector formation technique for documents - Sparse Composite Document Vector (SCDV) - which overcomes several shortcomings of the current distributional paragraph vector representations that are widely used for text representation.
Product Classification in E-Commerce using Distributional Semantics
Product classification is the task of automatically predicting a taxonomy path for a product in a predefined taxonomy hierarchy given a textual product description or title.
