Deep Learning System
Related Papers
thecerealkiller at SemEval-2016 Task 4: Deep Learning based System for Classifying Sentiment of Tweets on Two Point Scale
In this paper, we propose a deep learning sys- tem for classification of tweets on a two-point scale. Our architecture consists of a multilay- ered recurrent neural network having gated …...
Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets
AbstractSpanish is the third-most used language on the internet, after English and Chinese, with a total of 7.7% (more than 277 million of users) and a huge internet growth of …...
Joint, Incremental Disfluency Detection and Utterance Segmentation from Speech
AbstractWe present the joint task of incremental disfluency detection and utterance segmentation and a simple deep learning system which performs it on transcripts and ASR results. We show how the …...
Brenda Starr at SemEval-2019 Task 4: Hyperpartisan News Detection
AbstractIn the effort to tackle the challenge of Hyperpartisan News Detection, i.e., the task of deciding whether a news article is biased towards one party, faction, cause, or person, we …...
LT3 at SemEval-2020 Task 7: Comparing Feature-Based and Transformer-Based Approaches to Detect Funny Headlines
AbstractThis paper presents two different systems for the SemEval shared task 7 on Assessing Humor in Edited News Headlines, sub-task 1, where the aim was to estimate the intensity of …...
A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars
AbstractLinguistic typology is an area of linguistics concerned with analysis of and comparison between natural languages of the world based on their certain linguistic features. For that purpose, historically, the …...
YMAI at SemEval-2022 Task 5: Detecting Misogyny in Memes using VisualBERT and MMBT MultiModal Pre-trained Models
AbstractThis paper presents a deep learning system that contends at SemEval-2022 Task 5. The goal is to detect the existence of misogynous memes in sub-task A. At the same time, …...