Dyadic memory networks for aspect-based sentiment analysis
Tay, Y., Tuan, L. A., and Hui, S. C · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., and Polosukhin, I · 2017
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Tensor fusion network for multimodal sentiment analysis
Zadeh, A., Chen, M., Poria, S., Cambria, E., and Morency, L.-P · 2017
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Towards automatic generation of product reviews from aspect-sentiment scores
Zang, H. and Wan, X · 2017
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Domain adaptation with adversarial training and graph embeddings
Alam, F., Joty, S. R., and Imran, M · 2018
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Affective neural response generation
Asghar, N., Poupart, P., Hoey, J., Jiang, X., and Mou, L · 2018
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Adversarial deep averaging networks for cross-lingual sentiment classification
Chen, X., Sun, Y., Athiwaratkun, B., Cardie, C., and Weinberger, K. Q · 2018
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Sarcasm analysis using conversation context
Ghosh, D., Fabbri, A. R., and Muresan, S · 2018
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CASCADE: contextual sarcasm detection in online discussion forums
Hazarika, D., Poria, S., Gorantla, S., Cambria, E., Zimmermann, R., and Mihalcea, R · 2018
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ICON: interactive conversational memory network for multimodal emotion detection
Hazarika, D., Poria, S., Mihalcea, R., Cambria, E., and Zimmermann, R · 2018
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Modeling inter-aspect dependencies for aspect-based sentiment analysis
Hazarika, D., Poria, S., Vij, P., Krishnamurthy, G., Cambria, E., and Zimmermann, R · 2018
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Conversational memory network for emotion recognition in dyadic dialogue videos
Hazarika, D., Poria, S., Zadeh, A., Cambria, E., Morency, L., and Zimmermann, R · 2018
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Universal language model fine-tuning for text classification
Howard, J. and Ruder, S · 2018
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Sarcasm target identification: Dataset and an introductory approach
Joshi, A., Goel, P., Bhattacharyya, P., and Carman, M. J · 2018
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Examining gender and race bias in two hundred sentiment analysis systems
Kiritchenko, S. and Mohammad, S · 2018
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Delete, retrieve, generate: a simple approach to sentiment and style transfer
Li, J., Jia, R., He, H., and Liang, P · 2018
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Modeling sentiment association in discourse for humor recognition
Liu, L., Zhang, D., and Song, W · 2018
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Eliciting positive emotion through affect-sensitive dialogue response generation: A neural network approach
Lubis, N., Sakti, S., Yoshino, K., and Nakamura, S · 2018
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Targeted aspect-based sentiment analysis via embedding commonsense knowledge into an attentive LSTM
Ma, Y., Peng, H., and Cambria, E · 2018
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Deep contextualized word representations
Peters, M. E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., and Zettlemoyer, L · 2018
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Domain adapted word embeddings for improved sentiment classification
Sarma, P. K., Liang, Y., and Sethares, B · 2018
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Identifying transferable information across domains for cross-domain sentiment classification
Sharma, R., Bhattacharyya, P., Dandapat, S., and Bhatt, H. S · 2018
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Learning domain-sensitive and sentiment-aware word embeddings
Shi, B., Fu, Z., Bing, L., and Lam, W · 2018
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Reasoning with sarcasm by reading in-between
Tay, Y., Luu, A. T., Hui, S. C., and Su, J · 2018
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Attentive gated lexicon reader with contrastive contextual co-attention for sentiment classification
Tay, Y., Luu, A. T., Hui, S. C., and Su, J · 2018
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Learning sentiment composition from sentiment lexicons
Toledo-Ronen, O., Bar-Haim, R., Halfon, A., Jochim, C., Menczel, A., Aharonov, R., and Slonim, N · 2018
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Sentigan: Generating sentimental texts via mixture adversarial networks
Wang, K. and Wan, X · 2018
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Multimodal language analysis in the wild: CMU-MOSEI dataset and interpretable dynamic fusion graph
Zadeh, A., Liang, P. P., Poria, S., Cambria, E., and Morency, L · 2018
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Adversarial multiple source domain adaptation
Zhao, H., Zhang, S., Wu, G., Moura, J. M. F., Costeira, J. P., and Gordon, G. J · 2018
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Gender bias in coreference resolution: Evaluation and debiasing methods
Zhao, J., Wang, T., Yatskar, M., Ordonez, V., and Chang, K.-W · 2018
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Learning gender-neutral word embeddings
Zhao, J., Zhou, Y., Li, Z., Wang, W., and Chang, K.-W · 2018
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Emotional chatting machine: Emotional conversation generation with internal and external memory
Zhou, H., Huang, M., Zhang, T., Zhu, X., and Liu, B · 2018
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Pivot based language modeling for improved neural domain adaptation
Ziser, Y. and Reichart, R · 2018
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An ensemble of humour, sarcasm, and hate speechfor sentiment classification in online reviews
Badlani, R., Asnani, N., and Rai, M · 2019
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Evaluating the underlying gender bias in contextualized word embeddings
Basta, C., Costa-jussà, M. R., and Casas, N · 2019
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Comet: Commonsense transformers for automatic knowledge graph construction
Bosselut, A., Rashkin, H., Sap, M., Malaviya, C., Celikyilmaz, A., and Choi, Y · 2019
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Towards multimodal sarcasm detection (an _obviously_ perfect paper)
Castro, S., Hazarika, D., Pérez-Rosas, V., Zimmermann, R., Mihalcea, R., and Poria, S · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M., Lee, K., and Toutanova, K · 2019
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Inducing document structure for aspect-based summarization
Frermann, L. and Klementiev, A · 2019
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Lipstick on a pig: Debiasing methods cover up systematic gender biases in word embeddings but do not remove them
Gonen, H. and Goldberg, Y · 2019
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Towards automated emotional conversation generation with implicit and explicit affective strategy
Gu, X., Xu, W., and Li, S · 2019
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Sentiment analysis using unlabeled email data
Hag Ali, R. S. and El Gayar, N · 2019
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UR-FUNNY: A multimodal language dataset for understanding humor
Hasan, M. K., Rahman, W., Zadeh, A. B., Zhong, J., Tanveer, M. I., Morency, L., and Hoque, M. E · 2019
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Aspect-based sentiment analysis using BERT
Hoang, M., Bihorac, O. A., and Rouces, J · 2019
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ANA at semeval-2019 task 3: Contextual emotion detection in conversations through hierarchical lstms and BERT
Huang, C., Trabelsi, A., and Zaïane, O. R · 2019
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Disentangled representation learning for non-parallel text style transfer
John, V., Mou, L., Bahuleyan, H., and Vechtomova, O · 2019
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Shallow domain adaptive embeddings for sentiment analysis
K Sarma, P., Liang, Y., and Sethares, W · 2019
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Gender-preserving debiasing for pre-trained word embeddings
Kaneko, M. and Bollegala, D · 2019
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An adversarial approach to high-quality, sentiment-controlled neural dialogue generation
Original
Kong, X., Li, B., Neubig, G., Hovy, E., and Yang, Y · 2019
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Measuring bias in contextualized word representations
Kurita, K., Vyas, N., Pareek, A., Black, A. W., and Tsvetkov, Y · 2019
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De-mixing sentiment from code-mixed text
Lal, Y. K., Kumar, V., Dhar, M., Shrivastava, M., and Koehn, P · 2019
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A unified model for opinion target extraction and target sentiment prediction
Li, X., Bing, L., Li, P., and Lam, W · 2019
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Roberta: A robustly optimized BERT pretraining approach
Original
Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., Levy, O., Lewis, M., Zettlemoyer, L., and Stoyanov, V · 2019
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DOER: dual cross-shared RNN for aspect term-polarity co-extraction
Luo, H., Li, T., Liu, B., and Zhang, J · 2019
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Dialoguernn: An attentive RNN for emotion detection in conversations
Majumder, N., Poria, S., Hazarika, D., Mihalcea, R., Gelbukh, A. F., and Cambria, E · 2019
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Storytelling from structured data and knowledge graphs : An NLG perspective
Mishra, A., Laha, A., Sankaranarayanan, K., Jain, P., and Krishnan, S · 2019
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A modular architecture for unsupervised sarcasm generation
Mishra, A., Tater, T., and Sankaranarayanan, K · 2019
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Fine-grained sentiment classification using BERT
Original
Munikar, M., Shakya, S., and Shrestha, A · 2019
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isarcasm: A dataset of intended sarcasm
Original
Oprea, S. and Magdy, W · 2019
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Emotionally-aware chatbots: A survey
Original
Pamungkas, E. W · 2019
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A deep-learning framework to detect sarcasm targets
Patro, J., Bansal, S., and Mukherjee, A · 2019
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MELD: A multimodal multi-party dataset for emotion recognition in conversations
Poria, S., Hazarika, D., Majumder, N., Naik, G., Cambria, E., and Mihalcea, R · 2019
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End-to-end joint opinion role labeling with BERT
Quan, W., Zhang, J., and Hu, X. T · 2019
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Exploring the limits of transfer learning with a unified text-to-text transformer
Original
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J · 2019
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Gender bias in pretrained Swedish embeddings
Sahlgren, M. and Olsson, F · 2019
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Sentiment classification using document embeddings trained with cosine similarity
Thongtan, T. and Phienthrakul, T · 2019
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Unsupervised data augmentation
Original
Xie, Q., Dai, Z., Hovy, E., Luong, M.-T., and Le, Q. V · 2019
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Enhancing opinion role labeling with semantic-aware word representations from semantic role labeling
Zhang, M., Liang, P., and Fu, G · 2019
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Gender bias in contextualized word embeddings
Zhao, J., Wang, T., Yatskar, M., Cotterell, R., Ordonez, V., and Chang, K.-W · 2019
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Investigating gender bias in bert, 2020
Bhardwaj, R., Majumder, N., and Poria, S · 2020
Closest in time.
Senticnet 6: Ensemble application of symbolic and subsymbolic AI for sentiment analysis
Cambria, E., Li, Y., Xing, F. Z., Poria, S., and Kwok, K · 2020
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Rˆ3: Reverse, retrieve, and rank for sarcasm generation with commonsense knowledge
Chakrabarty, T., Ghosh, D., Muresan, S., and Peng, N · 2020
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Minority positive sampling for switching points - an anecdote for the code-mixing language modelling
Guptha, V., Chatterjee, A., Chopra, P., and Das, A · 2020
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MISA: modality-invariant and -specific representations for multimodal sentiment analysis
Hazarika, D., Zimmermann, R., and Poria, S · 2020
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Adversarial training for aspect-based sentiment analysis with BERT
Original
Karimi, A., Rossi, L., Prati, A., and Full, K · 2020
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Nurse is closer to woman than surgeon? mitigating gender-biased proximities in word embeddings
Kumar, V., Bhotia, T. S., and Chakraborty, T · 2020
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A survey on empathetic dialogue systems
Ma, Y., Nguyen, K. L., Xing, F. Z., and Cambria, E · 2020
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Improving aspect-level sentiment analysis with aspect extraction
Original
Majumder, N., Bhardwaj, R., Poria, S., Zadeh, A., Gelbukh, A. F., Hussain, A., and Morency, L · 2020
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A primer in bertology: What we know about how BERT works
Original
Rogers, A., Kovaleva, O., and Rumshisky, A · 2020
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Is it great or terrible? preserving sentiment in neural machine translation of arabic reviews
Original
Saadany, H. and Orasan, C · 2020
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