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12/26/2021
Budget Sensitive Reannotation of Noisy Relation Classification Data Using Label Hierarchy
Large crowd-sourced datasets are often noisy and relation classification...
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04/17/2021
Are Word Embedding Methods Stable and Should We Care About It?
A representation learning method is considered stable if it consistently...
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09/13/2019
Taxonomical hierarchy of canonicalized relations from multiple Knowledge Bases
This work addresses two important questions pertinent to Relation Extrac...
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07/17/2019
Decoding the Style and Bias of Song Lyrics
The central idea of this paper is to gain a deeper understanding of song...
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04/30/2019
Fine-grained Entity Recognition with Reduced False Negatives and Large Type Coverage
Fine-grained Entity Recognition (FgER) is the task of detecting and clas...
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01/16/2019
It's Only Words And Words Are All I Have
The central idea of this paper is to demonstrate the strength of lyrics ...
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10/20/2018
A Unified Labeling Approach by Pooling Diverse Datasets for Entity Typing
Evolution of entity typing (ET) has led to the generation of multiple da...
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01/19/2018
Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms
Harassment by cyberbullies is a significant phenomenon on the social med...
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02/22/2017
Fine-Grained Entity Type Classification by Jointly Learning Representations and Label Embeddings
Fine-grained entity type classification (FETC) is the task of classifyin...
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01/10/2017
