Search Results for author: Alexander Gelbukh

Found 27 papers, 10 papers with code

Automatically Predicting Judgement Dimensions of Human Behaviour

no code implementations ALTA 2020 Segun Taofeek Aroyehun, Alexander Gelbukh

This paper describes our submission to the ALTA-2020 shared task on assessing behaviour from short text, We evaluate the effectiveness of traditional machine learning and recent transformers pre-trained models.

BIG-bench Machine Learning

Overview of Abusive and Threatening Language Detection in Urdu at FIRE 2021

1 code implementation14 Jul 2022 Maaz Amjad, Alisa Zhila, Grigori Sidorov, Andrey Labunets, Sabur Butta, Hamza Imam Amjad, Oxana Vitman, Alexander Gelbukh

In this paper, we present two shared tasks of abusive and threatening language detection for the Urdu language which has more than 170 million speakers worldwide.

Abusive Language

Overview of the Shared Task on Fake News Detection in Urdu at FIRE 2021

no code implementations11 Jul 2022 Maaz Amjad, Sabur Butt, Hamza Imam Amjad, Alisa Zhila, Grigori Sidorov, Alexander Gelbukh

Admittedly, while training sets from the past and the current years overlap to a large extent, the testing set provided this year is completely different.

Fake News Detection

UrduFake@FIRE2021: Shared Track on Fake News Identification in Urdu

no code implementations11 Jul 2022 Maaz Amjad, Sabur Butt, Hamza Imam Amjad, Grigori Sidorov, Alisa Zhila, Alexander Gelbukh

This study reports the second shared task named as UrduFake@FIRE2021 on identifying fake news detection in Urdu language.

Fake News Detection

What goes on inside rumour and non-rumour tweets and their reactions: A Psycholinguistic Analyses

no code implementations9 Nov 2021 Sabur Butt, Shakshi Sharma, Rajesh Sharma, Grigori Sidorov, Alexander Gelbukh

In the descriptive line of works, where researchers have tried to analyse rumours using NLP approaches, there isnt much emphasis on psycho-linguistics analyses of social media text.

Misinformation Rumour Detection

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

2 code implementations28 Jul 2021 Wei Han, Hui Chen, Alexander Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria

Multimodal sentiment analysis aims to extract and integrate semantic information collected from multiple modalities to recognize the expressed emotions and sentiment in multimodal data.

Multimodal Deep Learning Multimodal Sentiment Analysis

Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication

1 code implementation22 Jun 2021 Navonil Majumder, Deepanway Ghosal, Devamanyu Hazarika, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria

We empirically show that these approaches yield significant improvements in empathetic response quality in terms of both automated and human-evaluated metrics.

Empathetic Response Generation Passage Retrieval +1

Recognizing Emotion Cause in Conversations

1 code implementation22 Dec 2020 Soujanya Poria, Navonil Majumder, Devamanyu Hazarika, Deepanway Ghosal, Rishabh Bhardwaj, Samson Yu Bai Jian, Pengfei Hong, Romila Ghosh, Abhinaba Roy, Niyati Chhaya, Alexander Gelbukh, Rada Mihalcea

We address the problem of recognizing emotion cause in conversations, define two novel sub-tasks of this problem, and provide a corresponding dialogue-level dataset, along with strong Transformer-based baselines.

Causal Emotion Entailment Emotion Cause Extraction

NLP-CIC @ DIACR-Ita: POS and Neighbor Based Distributional Models for Lexical Semantic Change in Diachronic Italian Corpora

no code implementations7 Nov 2020 Jason Angel, Carlos A. Rodriguez-Diaz, Alexander Gelbukh, Sergio Jimenez

The second model uses word embedding representation to extract the neighbor's relative distances across spaces and propose "the average of absolute differences" to estimate lexical semantic change.

POS

NLP-CIC @ PRELEARN: Mastering prerequisites relations, from handcrafted features to embeddings

1 code implementation7 Nov 2020 Jason Angel, Segun Taofeek Aroyehun, Alexander Gelbukh

We present our systems and findings for the prerequisite relation learning task (PRELEARN) at EVALITA 2020.

MIME: MIMicking Emotions for Empathetic Response Generation

1 code implementation EMNLP 2020 Navonil Majumder, Pengfei Hong, Shanshan Peng, Jiankun Lu, Deepanway Ghosal, Alexander Gelbukh, Rada Mihalcea, Soujanya Poria

Current approaches to empathetic response generation view the set of emotions expressed in the input text as a flat structure, where all the emotions are treated uniformly.

Empathetic Response Generation Response Generation

Improving Aspect-Level Sentiment Analysis with Aspect Extraction

no code implementations3 May 2020 Navonil Majumder, Rishabh Bhardwaj, Soujanya Poria, Amir Zadeh, Alexander Gelbukh, Amir Hussain, Louis-Philippe Morency

Aspect-based sentiment analysis (ABSA), a popular research area in NLP has two distinct parts -- aspect extraction (AE) and labeling the aspects with sentiment polarity (ALSA).

Aspect Extraction Word Embeddings

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

2 code implementations IJCNLP 2019 Deepanway Ghosal, Navonil Majumder, Soujanya Poria, Niyati Chhaya, Alexander Gelbukh

Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.

Emotion Classification Emotion Recognition in Conversation

Variational Fusion for Multimodal Sentiment Analysis

no code implementations13 Aug 2019 Navonil Majumder, Soujanya Poria, Gangeshwar Krishnamurthy, Niyati Chhaya, Rada Mihalcea, Alexander Gelbukh

Multimodal fusion is considered a key step in multimodal tasks such as sentiment analysis, emotion detection, question answering, and others.

Multimodal Sentiment Analysis Question Answering

Recent Trends in Deep Learning Based Personality Detection

no code implementations7 Aug 2019 Yash Mehta, Navonil Majumder, Alexander Gelbukh, Erik Cambria

This review paper provides an overview of the most popular approaches to automated personality detection, various computational datasets, its industrial applications, and state-of-the-art machine learning models for personality detection with specific focus on multimodal approaches.

BIG-bench Machine Learning Personality Trait Recognition

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

2 code implementations1 Nov 2018 Navonil Majumder, Soujanya Poria, Devamanyu Hazarika, Rada Mihalcea, Alexander Gelbukh, Erik Cambria

Emotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining, understanding consumer feedback in live conversations, etc.

Emotion Classification Emotion Recognition in Conversation +2

A distinct approach to diagnose Dengue Fever with the help of Soft Set Theory

no code implementations22 May 2018 Maaz Amjad, fariha Bukhari, Iqra Ameer, Alexander Gelbukh

The objective to use soft expert system is to predict the risk level of a patient having dengue fever by using input variables like age, TLC, SGOT, platelets count and blood pressure.

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