Manish Gupta

According to our database1, Manish Gupta authored at least 90 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
A distant supervision based approach to medical persona classification.
Journal of Biomedical Informatics, 2019

What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter.
CoRR, 2019

MVAE: Multimodal Variational Autoencoder for Fake News Detection.
Proceedings of the World Wide Web Conference, 2019

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations.
Proceedings of the World Wide Web Conference, 2019

clstk: The Cross-Lingual Summarization Tool-Kit.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

What sets Verified Users apart?: Insights, Analysis and Prediction of Verified Users on Twitter.
Proceedings of the 11th ACM Conference on Web Science, 2019

Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

FERMI at SemEval-2019 Task 5: Using Sentence embeddings to Identify Hate Speech Against Immigrants and Women in Twitter.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Fermi at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Sentence Embeddings.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding.
Proceedings of the International Joint Conference on Neural Networks, 2019

Elites Tweet? Characterizing the Twitter Verified User Network.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Inductive Transfer Learning for Detection of Well-Formed Natural Language Search Queries.
Proceedings of the Advances in Information Retrieval, 2019

Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer.
Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

2018
Harnessing Twitter for Answering Opinion List Queries.
IEEE Trans. Comput. Social Systems, 2018

Elites Tweet? Characterizing the Twitter Verified User Network.
CoRR, 2018

Attention-based Neural Text Segmentation.
CoRR, 2018

Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks.
CoRR, 2018

Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets.
CoRR, 2018

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets.
CoRR, 2018

Towards Interpretation of Node Embeddings.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks.
Proceedings of the 10th ACM Conference on Web Science, 2018

Tapping Community Memberships and Devising a Novel Homophily Modeling Approach for Trust Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

A Workbench for Rapid Generation of Cross-Lingual Summaries.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Neural Content-Collaborative Filtering for News Recommendation.
Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

Medical Forum Question Classification Using Deep Learning.
Proceedings of the Advances in Information Retrieval, 2018

Attention-Based Neural Text Segmentation.
Proceedings of the Advances in Information Retrieval, 2018

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets.
Proceedings of the Advances in Information Retrieval, 2018

Multi-task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets.
Proceedings of the Advances in Information Retrieval, 2018

STwalk: learning trajectory representations in temporal graphs.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Believe it or not!: identifying bizarre news in online news media.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

HRAM: A Hybrid Recurrent Attention Machine for News Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SNEIT: Salient Named Entity Identification in Tweets.
Computación y Sistemas, 2017

STWalk: Learning Trajectory Representations in Temporal Graphs.
CoRR, 2017

Interpretation of Semantic Tweet Representations.
CoRR, 2017

Simultaneous Inference of User Representations and Trust.
CoRR, 2017

Deep Learning for Hate Speech Detection in Tweets.
CoRR, 2017

Deep Learning for Hate Speech Detection in Tweets.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Enhancing Categorization of Computer Science Research Papers using Knowledge Bases.
Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

SSAS: Semantic Similarity for Abstractive Summarization.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

User Profiling Based Deep Neural Network for Temporal News Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Improving Tweet Representations Using Temporal and User Context.
Proceedings of the Advances in Information Retrieval, 2017

Deep Neural Architecture for News Recommendation.
Proceedings of the Working Notes of CLEF 2017, 2017

Hybrid MemNet for Extractive Summarization.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Medical Persona Classification in Social Media.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Extracting Social Lists from Twitter.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Interpretation of Semantic Tweet Representations.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

Simultaneous Inference of User Representations and Trust.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Community-based Outlier Detection for Edge-attributed Graphs.
CoRR, 2016

Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks.
CoRR, 2016

Improving Tweet Representations using Temporal and User Context.
CoRR, 2016

Author2Vec: Learning Author Representations by Combining Content and Link Information.
Proceedings of the 25th International Conference on World Wide Web, 2016

Doc2Sent2Vec: A Novel Two-Phase Approach for Learning Document Representation.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Query-Based Evolutionary Graph Cuboid Outlier Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
IIIT-H at SemEval 2015: Twitter Sentiment Analysis - The Good, the Bad and the Neutral!
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Query-based Graph Cuboid Outlier Detection.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014
Outlier Detection for Temporal Data
Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers, 2014

Co-Evolution of Multi-Typed Objects in Dynamic Star Networks.
IEEE Trans. Knowl. Data Eng., 2014

Outlier Detection for Temporal Data: A Survey.
IEEE Trans. Knowl. Data Eng., 2014

Towards a social media analytics platform: event detection and user profiling for twitter.
Proceedings of the 23rd International World Wide Web Conference, 2014

Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors.
Proceedings of the Posters, 2014

Modeling the evolution of product entities.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Exploiting Wikipedia inlinks for linking entities in queries.
Proceedings of the ERD'14, 2014

CharBoxes: a system for automatic discovery of character infoboxes from books.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Local Learning for Mining Outlier Subgraphs from Network Datasets.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Linking Entities in #Microposts.
Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

Top-K interesting subgraph discovery in information networks.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Entity Tracking in Real-Time Using Sub-topic Detection on Twitter.
Proceedings of the Advances in Information Retrieval, 2014

EDIUM: Improving Entity Disambiguation via User Modeling.
Proceedings of the Advances in Information Retrieval, 2014

Structured Information Extraction from Natural Disaster Events on Twitter.
Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning, 2014

2013
Community Distribution Outlier Detection in Heterogeneous Information Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

On detecting association-based clique outliers in heterogeneous information networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Evaluating Event Credibility on Twitter.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Community Trend Outlier Detection Using Soft Temporal Pattern Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Integrating community matching and outlier detection for mining evolutionary community outliers.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Predicting future popularity trend of events in microblogging platforms.
Proceedings of the Information, Interaction, Innovation: Celebrating the Past, Constructing the Present and Creating the Future, 2012

2011
Heterogeneous network-based trust analysis: a survey.
SIGKDD Explorations, 2011

Trust analysis with clustering.
Proceedings of the 20th International Conference on World Wide Web, 2011

Finding Top-k Shortest Path Distance Changes in an Evolutionary Network.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

Apollo: Towards factfinding in participatory sensing.
Proceedings of the 10th International Conference on Information Processing in Sensor Networks, 2011

On Bayesian interpretation of fact-finding in information networks.
Proceedings of the 14th International Conference on Information Fusion, 2011

Co-author Relationship Prediction in Heterogeneous Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

Evolutionary Clustering and Analysis of Bibliographic Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

An Overview of Social Tagging and Applications.
Proceedings of the Social Network Data Analytics, 2011

2010
Survey on social tagging techniques.
SIGKDD Explorations, 2010

LINKREC: a unified framework for link recommendation with user attributes and graph structure.
Proceedings of the 19th International Conference on World Wide Web, 2010

Community evolution detection in dynamic heterogeneous information networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Shallow Information Extraction from Medical Forum Data.
Proceedings of the COLING 2010, 2010

A Unified Framework for Link Recommendation Using Random Walks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010


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