Deep Learning Methods
Related Papers
Bitext Name Tagging for Cross-lingual Entity Annotation Projection
AbstractAnnotation projection is a practical method to deal with the low resource problem in incident languages (IL) processing. Previous methods on annotation projection mainly relied on word alignment results without …...
FastHybrid: A Hybrid Model for Efficient Answer Selection
AbstractAnswer selection is a core component in any question-answering systems. It aims to select correct answer sentences for a given question from a pool of candidate sentences. In recent years, …...
Feature Attention Network: Interpretable Depression Detection from Social Media
Although depression is one of the most com- mon mental disorders, the depressed individ- uals may not be aware of their symptoms at all so that they sometimes miss the …...
Hybrid Attention based Multimodal Network for Spoken Language Classification
AbstractWe examine the utility of linguistic content and vocal characteristics for multimodal deep learning in human spoken language understanding. We present a deep multimodal network with both feature attention and …...
A Robust Self-Learning Framework for Cross-Lingual Text Classification
AbstractBased on massive amounts of data, recent pretrained contextual representation models have made significant strides in advancing a number of different English NLP tasks. However, for other languages, relevant training …...
Emad at SemEval-2019 Task 6: Offensive Language Identification using Traditional Machine Learning and Deep Learning approaches
AbstractIn this paper, the used methods and the results obtained by our team, entitled Emad, on the OffensEval 2019 shared task organized at SemEval 2019 are presented. The OffensEval shared …...
Multi-Task Stance Detection with Sentiment and Stance Lexicons
AbstractStance detection aims to detect whether the opinion holder is in support of or against a given target. Recent works show improvements in stance detection by using either the attention …...
CxGBERT: BERT meets Construction Grammar
AbstractWhile lexico-semantic elements no doubt capture a large amount of linguistic information, it has been argued that they do not capture all information contained in text. This assumption is central …...
Dataset Creation and Evaluation of Aspect Based Sentiment Analysis in Telugu, a Low Resource Language
AbstractIn recent years, sentiment analysis has gained popularity as it is essential to moderate and analyse the information across the internet. It has various applications like opinion mining, social media …...
Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages
AbstractWe release an urgency dataset that consists of English tweets relating to natural crises, along with annotations of their corresponding urgency status. Additionally, we release evaluation datasets for two low-resource …...
Intent Recognition in Doctor-Patient Interviews
AbstractLearning to interview patients to find out their disease is an essential part of the training of medical students. The practical part of this training has traditionally relied on paid …...
Multilingual Stance Detection in Tweets: The Catalonia Independence Corpus
AbstractStance detection aims to determine the attitude of a given text with respect to a specific topic or claim. While stance detection has been fairly well researched in the last …...
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification
AbstractText simplification reduces the language complexity of professional content for accessibility purposes. End-to-end neural network models have been widely adopted to directly generate the simplified version of input text, usually …...
A Low-Cost Motion Capture Corpus in French Sign Language for Interpreting Iconicity and Spatial Referencing Mechanisms
AbstractThe automatic translation of sign language videos into transcribed texts is rarely approached in its whole, as it implies to finely model the grammatical mechanisms that govern these languages. The …...
Accelerating Code Search with Deep Hashing and Code Classification
AbstractCode search is to search reusable code snippets from source code corpus based on natural languages queries. Deep learning-based methods on code search have shown promising results. However, previous methods …...
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings
AbstractAutomatic depression detection on Twitter can help individuals privately and conveniently understand their mental health status in the early stages before seeing mental health professionals. Most existing black-box-like deep learning …...