Search Results for author:
Found 8 papers, 3 papers with code
Community Topic: Topic Model Inference by Consecutive Word Community Discovery
We present our novel, hyperparameter-free topic modelling algorithm, Community Topic.
Deep Temporal Modelling of Clinical Depression through Social Media Text
We describe the development of a model to detect user-level clinical depression based on a user's temporal social media posts.
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking
Identifying fake news is a very difficult task, especially when considering the multiple modes of conveying information through text, image, video and/or audio.
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision
How do we perform efficient inference while retaining high translation quality?
ANA at SemEval-2020 Task 4: mUlti-task learNIng for cOmmonsense reasoNing (UNION)
In order to generate more meaningful explanations, we propose UNION, a unified end-to-end framework, to utilize several existing commonsense datasets so that it allows a model to learn more dynamics under the scope of commonsense reasoning.
Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation
Most of the existing methods treat this task as a problem of single-label multi-class text classification.
ANA at SemEval-2019 Task 3: Contextual Emotion detection in Conversations through hierarchical LSTMs and BERT
This paper describes the system submitted by ANA Team for the SemEval-2019 Task 3: EmoContext.
Ranked #3 on
Emotion Recognition in Conversation
on EC
Emotion Recognition in Conversation
General Classification
+2
Generating Responses Expressing Emotion in an Open-domain Dialogue System
Neural network-based Open-ended conversational agents automatically generate responses based on predictive models learned from a large number of pairs of utterances.
