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03/26/2021
An Embedding-based Joint Sentiment-Topic Model for Short Texts
Short text is a popular avenue of sharing feedback, opinions and reviews...
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03/23/2021
Exercise? I thought you said 'Extra Fries': Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis
Today's Internet is awash in memes as they are humorous, satirical, or i...
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03/23/2021
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
Efficient discovery of emotion states of speakers in a multi-party conve...
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03/13/2021
A Survey on Multimodal Disinformation Detection
Recent years have witnessed the proliferation of fake news, propaganda, ...
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02/22/2021
Hide and Seek: Outwitting Community Detection Algorithms
Community affiliation of a node plays an important role in determining i...
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02/17/2021
Cross-SEAN: A Cross-Stitch Semi-Supervised Neural Attention Model for COVID-19 Fake News Detection
As the COVID-19 pandemic sweeps across the world, it has been accompanie...
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02/14/2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning
Learning low-level node embeddings using techniques from network represe...
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01/31/2021
TruthBot: An Automated Conversational Tool for Intent Learning, Curated Information Presenting, and Fake News Alerting
We present TruthBot, an all-in-one multilingual conversational chatbot d...
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01/28/2021
LESA: Linguistic Encapsulation and Semantic Amalgamation Based Generalised Claim Detection from Online Content
The conceptualization of a claim lies at the core of argument mining. Th...
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11/03/2020
Attention Beam: An Image Captioning Approach
The aim of image captioning is to generate textual description of a give...
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10/09/2020
Hate is the New Infodemic: A Topic-aware Modeling of Hate Speech Diffusion on Twitter
Online hate speech, particularly over microblogging platforms like Twitt...
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10/05/2020
Corpora Evaluation and System Bias Detection in Multi-document Summarization
Multi-document summarization (MDS) is the task of reflecting key points ...
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09/01/2020
Dynamics of node influence in network growth models
Many classes of network growth models have been proposed in the literatu...
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08/10/2020
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
In this paper, we present the results of the SemEval-2020 Task 9 on Sent...
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08/09/2020
SemEval-2020 Task 8: Memotion Analysis – The Visuo-Lingual Metaphor!
Information on social media comprises of various modalities such as text...
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06/02/2020
Nurse is Closer to Woman than Surgeon? Mitigating Gender-Biased Proximities in Word Embeddings
Word embeddings are the standard model for semantic and syntactic repres...
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05/28/2020
Unsupervised Anomaly Detection in Journal-Level Citation Networks
Journal Impact Factor is a popular metric for determining the quality of...
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04/21/2020
Neural Abstractive Summarization with Structural Attention
Attentional, RNN-based encoder-decoder architectures have achieved impre...
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04/16/2020
Coronavirus (COVID-19): ARIMA based time-series analysis to forecast near future
COVID-19, a novel coronavirus, is currently a major worldwide threat. It...
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04/13/2020
Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews
Online marketplaces often witness opinion spam in the form of reviews. P...
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01/29/2020
Aspect-based Academic Search using Domain-specific KB
Academic search engines allow scientists to explore related work relevan...
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01/20/2020
Unsupervised Sentiment Analysis for Code-mixed Data
Code-mixing is the practice of alternating between two or more languages...
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11/12/2019
All It Takes is 20 Questions!: A Knowledge Graph Based Approach
20 Questions (20Q) is a two-player game. One player is the answerer, and...
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08/10/2019
Modeling Engagement Dynamics of Online Discussions using Relativistic Gravitational Theory
Online discussions are valuable resources to study user behaviour on a d...
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07/09/2019
Multitask Learning for Blackmarket Tweet Detection
Online social media platforms have made the world more connected than ev...
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06/01/2019
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services
Automatic estimation of relative difficulty of a pair of questions is an...
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05/31/2019
Spotting Collective Behaviour of Online Frauds in Customer Reviews
Online reviews play a crucial role in deciding the quality before purcha...
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05/31/2019
Spotting Collusive Behaviour of Online Fraud Groups in Customer Reviews
Online reviews play a crucial role in deciding the quality before purcha...
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04/16/2019
Go Wide, Go Deep: Quantifying the Impact of Scientific Papers through Influence Dispersion Trees
Despite a long history of use of citation count as a measure to assess t...
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03/25/2019
Fiducia: A Personalized Food Recommender System for Zomato
This paper presents Fiducia, a food review system involving a pipeline w...
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02/08/2019
Multi-task Learning for Target-dependent Sentiment Classification
Detecting and aggregating sentiments toward people, organizations, and e...
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02/07/2019
Heterogeneous Edge Embeddings for Friend Recommendation
We propose a friend recommendation system (an application of link predic...
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11/28/2018
GIRNet: Interleaved Multi-Task Recurrent State Sequence Models
In several natural language tasks, labeled sequences are available in se...
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11/12/2018
CQASUMM: Building References for Community Question Answering Summarization Corpora
Community Question Answering forums such as Quora, Stackoverflow are ric...
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08/07/2018
How did the discussion go: Discourse act classification in social media conversations
We propose a novel attention based hierarchical LSTM model to classify d...
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07/27/2018
On Good and Bad Intentions behind Anomalous Citation Patterns among Journals in Computer Sciences
Scientific journals are an important choice of publication venue for mos...
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10/17/2017
Role of Interdisciplinarity in Computer Sciences: Quantification, Impact and Life Trajectory
The tremendous advances in computer science in the last few decades have...
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08/29/2017
EC3: Combining Clustering and Classification for Ensemble Learning
Classification and clustering algorithms have been proved to be successf...
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07/05/2017
Determining sentiment in citation text and analyzing its impact on the proposed ranking index
Whenever human beings interact with each other, they exchange or express...
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12/05/2016
We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!
Online content publishers often use catchy headlines for their articles ...
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09/01/2016
All Fingers are not Equal: Intensity of References in Scientific Articles
Research accomplishment is usually measured by considering all citations...
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04/15/2014
An effective AHP-based metaheuristic approach to solve supplier selection problem
The supplier selection problem is based on electing the best supplier fr...
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10/13/2012