Soujanya Poria

Orcid: 0000-0001-6924-7931

Affiliations:
  • Singapore University of Technology and Design, Singapore
  • Nanyang Technological University, Singapore (2017 - 2019)
  • University of Stirling, UK (PhD 2017)
  • Jadavpur University, Kolkata, India


According to our database1, Soujanya Poria authored at least 213 papers between 2010 and 2025.

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Bibliography

2025
Action-guided prompt tuning for video grounding.
Inf. Fusion, 2025

2024
Hate speech detection: A comprehensive review of recent works.
Expert Syst. J. Knowl. Eng., August, 2024

Video2Music: Suitable music generation from videos using an Affective Multimodal Transformer model.
Expert Syst. Appl., 2024

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses.
CoRR, 2024

Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models.
CoRR, 2024

Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse.
CoRR, 2024

Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique.
CoRR, 2024

WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models.
CoRR, 2024

Leveraging Parameter-Efficient Transfer Learning for Multi-Lingual Text-to-Speech Adaptation.
CoRR, 2024

Improving Text-To-Audio Models with Synthetic Captions.
CoRR, 2024

Reward Steering with Evolutionary Heuristics for Decoding-time Alignment.
CoRR, 2024

Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming.
CoRR, 2024

DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling.
CoRR, 2024

MM-InstructEval: Zero-Shot Evaluation of (Multimodal) Large Language Models on Multimodal Reasoning Tasks.
CoRR, 2024

CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models.
CoRR, 2024

Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning.
CoRR, 2024

INSTRAUG: Automatic Instruction Augmentation for Multimodal Instruction Fine-tuning.
CoRR, 2024

Toward Robust Multimodal Learning using Multimodal Foundational Models.
CoRR, 2024

Stuck in the Quicksand of Numeracy, Far from AGI Summit: Evaluating LLMs' Mathematical Competency through Ontology-guided Perturbations.
CoRR, 2024

Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction.
Proceedings of the ACM on Web Conference 2024, 2024

Understanding, Leveraging, and Improving Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Mustango: Toward Controllable Text-to-Music Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PanoSent: A Panoptic Sextuple Extraction Benchmark for Multimodal Conversational Aspect-based Sentiment Analysis.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

HYPERTTS: Parameter Efficient Adaptation in Text to Speech Using Hypernetworks.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Sowing the Wind, Reaping the Whirlwind: The Impact of Editing Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
A review of deep learning techniques for speech processing.
Inf. Fusion, November, 2023

Dialogue Relation Extraction with Document-Level Heterogeneous Graph Attention Networks.
Cogn. Comput., March, 2023

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research.
IEEE Trans. Affect. Comput., 2023

WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs.
Inf. Fusion, 2023

Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions.
Inf. Fusion, 2023

Contrastive Chain-of-Thought Prompting.
CoRR, 2023

Language Model Unalignment: Parametric Red-Teaming to Expose Hidden Harms and Biases.
CoRR, 2023

MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks.
CoRR, 2023

Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment.
CoRR, 2023

SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering.
CoRR, 2023

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning.
CoRR, 2023

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models.
CoRR, 2023

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction.
CoRR, 2023

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.
CoRR, 2023

Beyond Words: A Comprehensive Survey of Sentence Representations.
CoRR, 2023

Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt.
CoRR, 2023

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation.
CoRR, 2023

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model.
CoRR, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
CoRR, 2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding.
CoRR, 2023

Few-shot Multimodal Sentiment Analysis Based on Multimodal Probabilistic Fusion Prompts.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Text-to-Audio Generation using Instruction Guided Latent Diffusion Model.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multiple Contrastive Learning for Multimodal Sentiment Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2023

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adapter Pruning using Tropical Characterization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

kNN-CM: A Non-parametric Inference-Phase Adaptation of Parametric Text Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

UDAPTER - Efficient Domain Adaptation Using Adapters.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Lightweight Spatial Modeling for Combinatorial Information Extraction From Documents.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Robust Information-Masking Approach for Domain Counterfactual Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Towards solving NLP tasks with optimal transport loss.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Improving aspect-level sentiment analysis with aspect extraction.
Neural Comput. Appl., 2022

Multimodal research in vision and language: A review of current and emerging trends.
Inf. Fusion, 2022

Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts.
CoRR, 2022

Multiview Contextual Commonsense Inference: A New Dataset and Task.
CoRR, 2022

Improving Zero-Shot Learning Baselines with Commonsense Knowledge.
Cogn. Comput., 2022

Exemplars-Guided Empathetic Response Generation Controlled by the Elements of Human Communication.
IEEE Access, 2022

Analyzing Modality Robustness in Multimodal Sentiment Analysis.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PIP: Physical Interaction Prediction via Mental Simulation with Span Selection.
Proceedings of the Computer Vision - ECCV 2022, 2022

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Knowledge Enhanced Reflection Generation for Counseling Dialogues.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Phonetic-enriched text representation for Chinese sentiment analysis with reinforcement learning.
Inf. Fusion, 2021

Information fusion for affective computing and sentiment analysis.
Inf. Fusion, 2021

Conversational transfer learning for emotion recognition.
Inf. Fusion, 2021

Persuasive dialogue understanding: The baselines and negative results.
Neurocomputing, 2021

Federated Distillation of Natural Language Understanding with Confident Sinkhorns.
CoRR, 2021

PIP: Physical Interaction Prediction via Mental Imagery with Span Selection.
CoRR, 2021

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering.
CoRR, 2021

Discriminative Dictionary Design for Action Classification in Still Images and Videos.
Cogn. Comput., 2021

Affect Recognition for Multimodal Natural Language Processing.
Cogn. Comput., 2021

Recognizing Emotion Cause in Conversations.
Cogn. Comput., 2021

Deep Neural Approaches to Relation Triplets Extraction: a Comprehensive Survey.
Cogn. Comput., 2021

Investigating Gender Bias in BERT.
Cogn. Comput., 2021

DOZEN: Cross-Domain Zero Shot Named Entity Recognition with Knowledge Graph.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering.
Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

M2H2: A Multimodal Multiparty Hindi Dataset For Humor Recognition in Conversations.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

STaCK: Sentence Ordering with Temporal Commonsense Knowledge.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Aspect Sentiment Triplet Extraction Using Reinforcement Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

More Identifiable yet Equally Performant Transformers for Text Classification.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Social Media Marketing and Financial Forecasting.
Inf. Process. Manag., 2020

Anaphora and coreference resolution: A review.
Inf. Fusion, 2020

Dialogue systems with audio context.
Neurocomputing, 2020

Recognizing Emotion Cause in Conversations.
CoRR, 2020

MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences.
CoRR, 2020

Emerging Trends of Multimodal Research in Vision and Language.
CoRR, 2020

Utterance-level Dialogue Understanding: An Empirical Study.
CoRR, 2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction.
CoRR, 2020

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

CMU-MOSEAS: A Multimodal Language Dataset for Spanish, Portuguese, German and French.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MIME: MIMicking Emotions for Empathetic Response Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

KinGDOM: Knowledge-Guided DOMain Adaptation for Sentiment Analysis.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Sentiment and Sarcasm Classification With Multitask Learning.
IEEE Intell. Syst., 2019

Factorized Multimodal Transformer for Multimodal Sequential Learning.
CoRR, 2019

WildMix Dataset and Spectro-Temporal Transformer Model for Monoaural Audio Source Separation.
CoRR, 2019

Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling.
CoRR, 2019

Variational Fusion for Multimodal Sentiment Analysis.
CoRR, 2019

Computational Intelligence for Affective Computing and Sentiment Analysis [Guest Editorial].
IEEE Comput. Intell. Mag., 2019

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances.
IEEE Access, 2019

The Nitty-GRITties of Success: Computational Analysis of Grit From Language.
IEEE Access, 2019

Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An Attention-Based Model for Learning Dynamic Interaction Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Fusing Phonetic Features and Chinese Character Representation for Sentiment Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

Multi-task Learning for Detecting Stance in Tweets.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper).
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Sentiment Analysis, Basic Tasks of.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Multimodal sentiment analysis using hierarchical fusion with context modeling.
Knowl. Based Syst., 2018

Multimodal Sentiment Analysis: Addressing Key Issues and Setting Up the Baselines.
IEEE Intell. Syst., 2018

OntoSenticNet: A Commonsense Ontology for Sentiment Analysis.
IEEE Intell. Syst., 2018

Recent Trends in Deep Learning Based Natural Language Processing [Review Article].
IEEE Comput. Intell. Mag., 2018

Learning Visual Concepts in Images Using Temporal Convolutional Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Singlish SenticNet: A Concept-Based Sentiment Resource for Singapore English.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Self-Attentive Feature-Level Fusion for Multimodal Emotion Detection.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Contextual Inter-modal Attention for Multi-modal Sentiment Analysis.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Deep Learning Approach for Multimodal Deception Detection.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Multi-attention Recurrent Network for Human Communication Comprehension.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Memory Fusion Network for Multi-view Sequential Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Novel symbolic and machine-learning approaches for text-based and multimodal sentiment analysis.
PhD thesis, 2017

A review of affective computing: From unimodal analysis to multimodal fusion.
Inf. Fusion, 2017

Ensemble application of convolutional neural networks and multiple kernel learning for multimodal sentiment analysis.
Neurocomputing, 2017

Deep Learning-Based Document Modeling for Personality Detection from Text.
IEEE Intell. Syst., 2017

Sentiment Analysis Is a Big Suitcase.
IEEE Intell. Syst., 2017

Basic tasks of sentiment analysis.
CoRR, 2017

Recent Trends in Deep Learning Based Natural Language Processing.
CoRR, 2017

Developing a concept-level knowledge base for sentiment analysis in Singlish.
CoRR, 2017

Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Tensor Fusion Network for Multimodal Sentiment Analysis.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Benchmarking Multimodal Sentiment Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

Context-Dependent Sentiment Analysis in User-Generated Videos.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Aspect extraction for opinion mining with a deep convolutional neural network.
Knowl. Based Syst., 2016

Fusing audio, visual and textual clues for sentiment analysis from multimodal content.
Neurocomputing, 2016

Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis.
Cogn. Comput., 2016

Erratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.
Cogn. Comput., 2016

Multilingual Sentiment Analysis: State of the Art and Independent Comparison of Techniques.
Cogn. Comput., 2016

Sentic LDA: Improving on LDA with semantic similarity for aspect-based sentiment analysis.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Bayesian Deep Convolution Belief Networks for Subjectivity Detection.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks.
Proceedings of the COLING 2016, 2016

SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives.
Proceedings of the COLING 2016, 2016

2015
Towards an intelligent framework for multimodal affective data analysis.
Neural Networks, 2015

Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach.
Cogn. Comput., 2015

Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns.
IEEE Comput. Intell. Mag., 2015

SeNTU: Sentiment Analysis of Tweets by Combining a Rule-based Classifier with Supervised Learning.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Modelling Public Sentiment in Twitter: Using Linguistic Patterns to Enhance Supervised Learning.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
EmoSenticSpace: A novel framework for affective common-sense reasoning.
Knowl. Based Syst., 2014

Sentic patterns: Dependency-based rules for concept-level sentiment analysis.
Knowl. Based Syst., 2014

Sentic API: A Common and Common-Sense Knowledge API for Cognition-Driven Sentiment Analysis.
Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

Dependency Tree-Based Rules for Concept-Level Aspect-Based Sentiment Analysis.
Proceedings of the Semantic Web Evaluation Challenge, 2014

Dependency-Based Semantic Parsing for Concept-Level Text Analysis.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014

A Rule-Based Approach to Aspect Extraction from Product Reviews.
Proceedings of the Second Workshop on Natural Language Processing for Social Media, 2014

2013
Sentic Computing for Social Media Analysis, Representation, and Retrieval.
Proceedings of the Social Media Retrieval, 2013

Enhanced SenticNet with Affective Labels for Concept-Based Opinion Mining.
IEEE Intell. Syst., 2013

Erratum: Common Sense Knowledge Based Personality Recognition from Text.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Common Sense Knowledge Based Personality Recognition from Text.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Music Genre Classification: A Semi-supervised Approach.
Proceedings of the Pattern Recognition - 5th Mexican Conference, 2013

A Review of Artificial Intelligence and Biologically Inspired Computational Approaches to Solving Issues in Narrative Financial Disclosure.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2013

2012
A Classifier Based Approach to Emotion Lexicon Construction.
Proceedings of the Natural Language Processing and Information Systems, 2012

Fuzzy Clustering for Semi-supervised Learning - Case Study: Construction of an Emotion Lexicon.
Proceedings of the Advances in Artificial Intelligence, 2012

SMSFR: SMS-Based FAQ Retrieval System.
Proceedings of the Advances in Computational Intelligence, 2012

Enriching SenticNet Polarity Scores through Semi-Supervised Fuzzy Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Semantic Textual Entailment Recognition using UNL.
Polibits, 2011

A Textual Entailment System using Anaphora Resolution.
Proceedings of the Fourth Text Analysis Conference, 2011

2010
JU_CSE_TAC: Textual Entailment Recognition System at TAC RTE-6.
Proceedings of the Third Text Analysis Conference, 2010


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