2025
PROEMO: Prompt-Driven Text-to-Speech Synthesis Based on Emotion and Intensity Control.
CoRR, January, 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
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization.
CoRR, 2024
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability.
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CoRR, 2024
Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning.
CoRR, 2024
M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework.
CoRR, 2024
Two are better than one: Context window extension with multi-grained self-injection.
CoRR, 2024
Why AI Is WEIRD and Should Not Be This Way: Towards AI For Everyone, With Everyone, By Everyone.
CoRR, 2024
Not All Votes Count! Programs as Verifiers Improve Self-Consistency of Language Models for Math Reasoning.
CoRR, 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.
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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.
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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