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09/19/2023
Multimodal Modeling For Spoken Language Identification
Spoken language identification refers to the task of automatically predi...
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07/20/2023
MASR: Metadata Aware Speech Representation
In the recent years, speech representation learning is constructed prima...
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06/07/2023
Label Aware Speech Representation Learning For Language Identification
Speech representation learning approaches for non-semantic tasks such as...
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12/15/2021
Knowledge-Rich Self-Supervised Entity Linking
Entity linking faces significant challenges, such as prolific variations...
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06/11/2021
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
Knowledge Graph (KG) completion research usually focuses on densely conn...
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06/02/2021
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
To successfully negotiate a deal, it is not enough to communicate fluent...
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10/05/2020
MedFilter: Improving Extraction of Task-relevant Utterances through Integration of Discourse Structure and Ontological Knowledge
Information extraction from conversational data is particularly challeng...
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05/01/2020
MedType: Improving Medical Entity Linking with Semantic Type Prediction
Medical entity linking is the task of identifying and standardizing conc...
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11/10/2019
A Re-evaluation of Knowledge Graph Completion Methods
Knowledge Graph Completion (KGC) aims at automatically predicting missin...
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11/08/2019
Composition-based Multi-Relational Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have recently been shown to be quite...
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11/08/2019
Neural Graph Embedding methods for Natural Language Processing
Knowledge graphs are structured representations of facts in a graph, whe...
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11/01/2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Most existing knowledge graphs suffer from incompleteness, which can be ...
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09/24/2019
Attention Interpretability Across NLP Tasks
The attention layer in a neural network model provides insights into the...
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02/01/2019
Dating Documents using Graph Convolution Networks
Document date is essential for many important tasks, such as document re...
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02/01/2019
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
Open Information Extraction (OpenIE) methods extract (noun phrase, relat...
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01/24/2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Predicting properties of nodes in a graph is an important problem with a...
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12/11/2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Distantly-supervised Relation Extraction (RE) methods train an extractor...
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09/12/2018