Cross-Document Temporal Relation Extraction with Temporal Anchoring Events
Automatically extracting a timeline on a certain topic from multiple documents has been a challenge in natural language processing, …
On End-to-end Automatic Fact-checking Systems
The emergence of social media has aided the spread of nonfactual information across the internet, and organizations are combating …
Neural Multi-Task Learning for Stance Prediction
We present a multi-task learning model that leverages large amount of textual information from existing datasets to improve stance …
Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models
Modern text-to-speech (TTS) systems are able to generate audio that sounds almost as natural as human speech. However, the bar of …
Machine Comprehension of Spoken Content: TOEFL Listening Test and Spoken SQuAD
Although multimedia or spoken content presents more attractive information than plain text content, the former is more difficult to …
FAKTA: An Automatic End-to-End Fact Checking System
We present FAKTA which is a unified framework that integrates various components of a fact checking process: document retrieval from …
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
In this paper, we propose a novel deep learning architecture for multi-label zero-shot learning (ML-ZSL), which is able to predict …
