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In task-oriented dialogue (ToD), a user holds a conversation with an artificial agent to complete a concrete task.
Transfertransfo: A transfer learning approach for neural network based conversational agents
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BERT for joint intent classification and slot filling
Chen, Q., Zhuo, Z., and Wang, W. (2019) · 1902
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Benchmarking natural language understanding services for building conversational agents
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Massively multilingual neural machine translation in the wild: Findings and challenges
Arivazhagan, N., Bapna, A., Firat, O., Lepikhin, D., Johnson, M., Krikun, M., Chen, M. X., Cao, Y., Foster, G. F., Cherry, C., Macherey, W., Chen, Z., and Wu, Y. (2019) · 1907
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Almawave-SLU: A new dataset for SLU in Italian
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Multi-lingual intent detection and slot filling in a joint BERT-based model
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Planning for goal-oriented dialogue systems
Muise, C., Chakraborti, T., Agarwal, S., Bajgar, O., Chaudhary, A., Lastras-Montano, L. A., Ondrej, J., Vodolan, M., and Wiecha, C. (2019) · 1910
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An overview of SURGE: A reusable comprehensive syntactic realization component
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Enabling technology for multilingual natural language generation: the kpml development environment
Bateman, J. A. (1997) · 1997
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Building applied natural language generation systems
Reiter, E., and Dale, R. (1997) · 1997
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The practical value of n-grams is in generation
Langkilde, I., and Knight, K. (1998) · 1998
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Building Natural Language Generation Systems
Reiter, E., and Dale, R. (2000) · 2000
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Towards a human-like open-domain chatbot
Adiwardana, D., Luong, M.-T., So, D. R., Hall, J., Fiedel, N., Thoppilan, R., Yang, Z., Kulshreshtha, A., Nemade, G., Lu, Y., et al. (2020) · 2001
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XPersona: Evaluating multilingual personalized chatbot
Lin, Z., Liu, Z., Winata, G. I., Cahyawijaya, S., Madotto, A., Bang, Y., Ishii, E., and Fung, P. (2020b) · 2003
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An augmented template-based approach to text realization
McRoy, S. W., Channarukul, S., and Ali, S. S. (2003) · 2003
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Longformer: The long-document transformer
Beltagy, I., Peters, M. E., and Cohan, A. (2020) · 2004
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Diet: Lightweight language understanding for dialogue systems
Bunk, T., Varshneya, D., Vlasov, V., and Nichol, A. (2020) · 2004
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Data-driven strategies for an automated dialogue system
Hardy, H., Strzalkowski, T., Wu, M., Ursu, C., Webb, N., Biermann, A., Inouye, R. B., and McKenzie, A. (2004) · 2004
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Trainable sentence planning for complex information presentations in spoken dialog systems
Stent, A., Prasad, R., and Walker, M. (2004) · 2004
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Semantic annotation of the French media dialog corpus
Bonneau-Maynard, H., Rosset, S., Ayache, C., Kuhn, A., and Mostefa, D. (2005) · 2005
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The at&t spoken language understanding system
Gupta, N., Tur, G., Hakkani-Tur, D., Bangalore, S., Riccardi, G., and Gilbert, M. (2005) · 2005
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Sociology in our times
Kendall, D. E., Linden, R., and Murray, J. L. (2005) · 2005
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Let’s go public! taking a spoken dialog system to the real world
Raux, A., Langner, B., Bohus, D., Black, A. W., and Eskenazi, M. (2005) · 2005
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Method and apparatus for building an intelligent automated assistant
Cheyer, A., and Guzzoni, D. (2006) · 2006
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Generating constituent order in German clauses
Filippova, K., and Strube, M. (2007) · 2007
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Neural language generation: Formulation, methods, and evaluation
Garbacea, C., and Mei, Q. (2020) · 2007
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Multilingual subjectivity analysis using machine translation
Banea, C., Mihalcea, R., Wiebe, J., and Hassan, S. (2008) · 2008
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The ravenclaw dialog management framework: Architecture and systems
Bohus, D., and Rudnicky, A. I. (2009) · 2009
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Harnessing multilinguality in unsupervised machine translation for rare languages
Garcia, X., Siddhant, A., Firat, O., and Parikh, A. P. (2020) · 2009
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Simplenlg: A realisation engine for practical applications
Gatt, A., and Reiter, E. (2009) · 2009
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Automatic speech recognition for under-resourced languages: Application to Vietnamese Language
Le, V. B., and Besacier, L. (2009) · 2009
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DialoGLUE: A natural language understanding benchmark for task-oriented dialogue
Mehri, S., Eric, M., and Hakkani-Tur, D. (2020) · 2009
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Training a multilingual sportscaster: Using perceptual context to learn language
Chen, D. L., Kim, J., and Mooney, R. J. (2010) · 2010
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Emotion recognition and adaptation in spoken dialogue systems
Pittermann, J., Pittermann, A., and Minker, W. (2010) · 2010
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Cross-language document summarization based on machine translation quality prediction
Wan, X., Li, H., and Xiao, J. (2010) · 2010
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Still talking to machines (cognitively speaking)
Young, S. (2010) · 2010
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Adapting simplenlg to german
Bollmann, M. (2011) · 2011
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Intent detection and slot filling for Vietnamese
Dao, M. H., Truong, T. H., and Nguyen, D. Q. (2021) · 2011
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Overview of the 9th Dialog System Technology Challenge: DSTC9
Gunasekara, C., Kim, S., D’Haro, L. F., Rastogi, A., Chen, Y.-N., Eric, M., Hedayatnia, B., Gopalakrishnan, K., Liu, Y., Huang, C.-W., et al. (2020) · 2011
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Translationese and its dialects
Koppel, M., and Ordan, N. (2011) · 2011
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Dialogue management using scripts
Mirkovic, D., and Cavedon, L. (2011) · 2011
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Language model is all you need: Natural language understanding as question answering
Namazifar, M., Papangelis, A., Tür, G., and Hakkani-Tür, D. (2020) · 2011
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Syntactic transfer using a bilingual lexicon
Durrett, G., Pauls, A., and Klein, D. (2012) · 2012
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Language models for machine translation: Original vs. translated texts
Lembersky, G., Ordan, N., and Wintner, S. (2012) · 2012
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A closer look at few-shot crosslingual transfer: Variance, benchmarks and baselines
Zhao, M., Zhu, Y., Shareghi, E., Reichart, R., Korhonen, A., and Schütze, H. (2020) · 2012
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A simple, fast, and effective reparameterization of ibm model 2
Dyer, C., Chahuneau, V., and Smith, N. A. (2013) · 2013
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Multilingual training of deep neural networks
Ghoshal, A., Swietojanski, P., and Renals, S. (2013) · 2013
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Multi-style adaptive training for robust cross-lingual spoken language understanding
He, X., Deng, L., Hakkani-Tur, D., and Tur, G. (2013) · 2013
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Exploiting similarities among languages for machine translation
Mikolov, T., Le, Q. V., and Sutskever, I. (2013) · 2013
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Adapting simplenlg for bilingual english-french realisation
Vaudry, P.-L., and Lapalme, G. (2013) · 2013
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The dialog state tracking challenge
Williams, J., Raux, A., Ramachandran, D., and Black, A. (2013) · 2013
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Convolutional neural network based triangular crf for joint intent detection and slot filling
Xu, P., and Sarikaya, R. (2013) · 2013
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POMDP-based statistical spoken dialog systems: A review
Young, S., Gašić, M., Thomson, B., and Williams, J. D. (2013) · 2013
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Adapting simplenlg for Brazilian Portuguese realisation
De Oliveira, R., and Sripada, S. (2014) · 2014
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Joint semantic utterance classification and slot filling with recursive neural networks
Guo, D., Tur, G., Yih, W.-t., and Zweig, G. (2014) · 2014
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The second dialog state tracking challenge
Henderson, M., Thomson, B., and Williams, J. D. (2014a) · 2014
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Word-based dialog state tracking with recurrent neural networks
Henderson, M., Thomson, B., and Young, S. (2014b) · 2014
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R-cube: A dialogue agent for restaurant recommendation and reservation
Kim, S., and Banchs, R. E. (2014) · 2014
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Shata-anuvadak: Tackling multiway translation of Indian languages
Kunchukuttan, A., Mishra, A., Chatterjee, R., Shah, R., and Bhattacharyya, P. (2014) · 2014
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Using recurrent neural networks for slot filling in spoken language understanding
Mesnil, G., Dauphin, Y., Yao, K., Bengio, Y., Deng, L., Hakkani-Tur, D., He, X., Heck, L., Tur, G., Yu, D., et al. (2014) · 2014
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Distilling the knowledge in a neural network
Hinton, G., Vinyals, O., and Dean, J. (2015) · 2015
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Visual bilingual lexicon induction with transferred ConvNet features
Kiela, D., Vulić, I., and Clark, S. (2015) · 2015
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Adam: A method for stochastic optimization
Kingma, D. P., and Ba, J. (2015) · 2015
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Recurrent neural network and lstm models for lexical utterance classification
Ravuri, S., and Stolcke, A. (2015) · 2015
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A neural network approach to context-sensitive generation of conversational responses
Sordoni, A., Galley, M., Auli, M., Brockett, C., Ji, Y., Mitchell, M., Nie, J.-Y., Gao, J., and Dolan, B. (2015) · 2015
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On the features of translationese
Volansky, V., Ordan, N., and Wintner, S. (2015) · 2015
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Universal reordering via linguistic typology
Daiber, J., Stanojević, M., and Sima’an, K. (2016) · 2016
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A sequence-to-sequence model for user simulation in spoken dialogue systems
El Asri, L., He, J., and Suleman, K. (2016) · 2016
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Multi30K: Multilingual English-German image descriptions
Elliott, D., Frank, S., Sima’an, K., and Specia, L. (2016) · 2016
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Multi-domain joint semantic frame parsing using bi-directional rnn-lstm
Hakkani-Tür, D., Tür, G., Celikyilmaz, A., Chen, Y.-N., Gao, J., Deng, L., and Wang, Y.-Y. (2016) · 2016
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The fifth dialog state tracking challenge
Kim, S., D’Haro, L. F., Banchs, R. E., Williams, J. D., Henderson, M., and Yoshino, K. (2016) · 2016
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A diversity-promoting objective function for neural conversation models
Li, J., Galley, M., Brockett, C., Gao, J., and Dolan, B. (2016a) · 2016
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Deep reinforcement learning for dialogue generation
Li, J., Monroe, W., Ritter, A., Jurafsky, D., Galley, M., and Gao, J. (2016b) · 2016
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Adding chinese captions to images
Li, X., Lan, W., Dong, J., and Liu, H. (2016c) · 2016
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How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Liu, C.-W., Lowe, R., Serban, I. V., Noseworthy, M., Charlin, L., and Pineau, J. (2016) · 2016
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Simplenlg-it: adapting simplenlg to italian
Mazzei, A., Battaglino, C., and Bosco, C. (2016) · 2016
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SQuAD: 100,000+ questions for machine comprehension of text
Rajpurkar, P., Zhang, J., Lopyrev, K., and Liang, P. (2016) · 2016
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Building end-to-end dialogue systems using generative hierarchical neural network models
Serban, I., Sordoni, A., Bengio, Y., Courville, A., and Pineau, J. (2016a) · 2016
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Transfer learning for low-resource neural machine translation
Zoph, B., Yuret, D., May, J., and Knight, K. (2016) · 2016
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A survey on dialogue systems: Recent advances and new frontiers
Chen, H., Liu, X., Yin, D., and Tang, J. (2017) · 2017
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Simpleds: A simple deep reinforcement learning dialogue system
Cuayáhuitl, H. (2017) · 2017
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An empirical study of language relatedness for transfer learning in neural machine translation
Dabre, R., Nakagawa, T., and Kazawa, H. (2017) · 2017
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GuessWhat?! visual object discovery through multi-modal dialogue
de Vries, H., Strub, F., Chandar, S., Pietquin, O., Larochelle, H., and Courville, A. C. (2017) · 2017
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Key-value retrieval networks for task-oriented dialogue
Eric, M., Krishnan, L., Charette, F., and Manning, C. D. (2017) · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Finn, C., Abbeel, P., and Levine, S. (2017) · 2017
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Image pivoting for learning multilingual multimodal representations
Gella, S., Sennrich, R., Keller, F., and Lapata, M. (2017) · 2017
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Glottolog 3.0
Hammarström, H., Forkel, R., and Haspelmath, M. (2017) · 2017
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Uriel and lang2vec: Representing languages as typological, geographical, and phylogenetic vectors
Littell, P., Mortensen, D. R., Lin, K., Kairis, K., Turner, C., and Levin, L. (2017) · 2017
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Learning with noise: Enhance distantly supervised relation extraction with dynamic transition matrix
Luo, B., Feng, Y., Wang, Z., Zhu, Z., Huang, S., Yan, R., and Zhao, D. (2017) · 2017
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Neural belief tracker: Data-driven dialogue state tracking
Mrkšić, N., Séaghdha, D. Ó., Wen, T.-H., Thomson, B., and Young, S. (2017) · 2017
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Semantic specialization of distributional word vector spaces using monolingual and cross-lingual constraints
Mrkšić, N., Vulić, I., Séaghdha, D. Ó., Leviant, I., Reichart, R., Gašić, M., Korhonen, A., and Young, S. (2017) · 2017
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Weakly supervised cross-lingual named entity recognition via effective annotation and representation projection
Ni, J., Dinu, G., and Florian, R. (2017) · 2017
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Dialog state tracking, a machine reading approach using memory network
Perez, J., and Liu, F. (2017) · 2017
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Globally normalized reader
Raiman, J., and Miller, J. (2017) · 2017
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Adapting simplenlg to spanish
Ramos-Soto, A., Janeiro-Gallardo, J., and Diz, A. B. (2017) · 2017
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Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Smith, S. L., Turban, D. H., Hamblin, S., and Hammerla, N. Y. (2017) · 2017
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Neural architectures for multilingual semantic parsing
Susanto, R. H., and Lu, W. (2017) · 2017
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Cross-linguistic differences and similarities in image descriptions.
van Miltenburg, E., Elliott, D., and Vossen, P. (2017) · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I. (2017) · 2017
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Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules
Vulić, I., Mrkšić, N., Reichart, R., Ó Séaghdha, D., Young, S., and Korhonen, A. (2017) · 2017
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A network-based end-to-end trainable task-oriented dialogue system
Wen, T.-H., Vandyke, D., Mrkšić, N., Gasic, M., Barahona, L. M. R., Su, P.-H., Ultes, S., and Young, S. (2017) · 2017
Cited alongside, same era.
Sequential matching network: A new architecture for multi-turn response selection in retrieval-based chatbots
Wu, Y., Wu, W., Xing, C., Zhou, M., and Li, Z. (2017) · 2017
Cited alongside, same era.
The first evaluation of chinese human-computer dialogue technology
Zhang, W.-N., Chen, Z., Che, W., Hu, G., and Liu, T. (2017) · 2017
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An ontology-based dialogue management system for banking and finance dialogue systems
Altinok, D. (2018) · 2018
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A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Artetxe, M., Labaka, G., and Agirre, E. (2018) · 2018
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The second conversational intelligence challenge (convai2)
Dinan, E., Logacheva, V., Malykh, V., Miller, A., Shuster, K., Urbanek, J., Kiela, D., Szlam, A., Serban, I., Lowe, R., Prabhumoye, S., Black, A. W., Rudnicky, A., Williams, J., Pineau, J., Burtsev, M., and Weston, J. (2020) · 2020
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Multiwoz 2.1: A consolidated multi-domain dialogue dataset with state corrections and state tracking baselines
Eric, M., Goel, R., Paul, S., Sethi, A., Agarwal, S., Gao, S., Kumar, A., Goyal, A. K., Ku, P., and Hakkani-Tür, D. (2020) · 2020
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Findings of the WMT 2020 shared task on chat translation
Farajian, M. A., Lopes, A. V., Martins, A. F. T., Maruf, S., and Haffari, G. (2020) · 2020
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BAE: BERT-based adversarial examples for text classification
Garg, S., and Ramakrishnan, G. (2020) · 2020
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Non-linear instance-based cross-lingual mapping for non-isomorphic embedding spaces
Glavaš, G., and Vulić, I. (2020) · 2020
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MultiWOZ-A large-scale multi-domain Wizard-of-Oz dataset for task-oriented dialogue modelling
Budzianowski, P., Wen, T.-H., Tseng, B.-H., Casanueva, I., Ultes, S., Ramadan, O., and Gasic, M. (2018) · 2018
Cited alongside, same era.
Adapting SimpleNLG to Galician language
Cascallar-Fuentes, A., Ramos-Soto, A., and Bugarín Diz, A. (2018) · 2018
Cited alongside, same era.
Xl-nbt: A cross-lingual neural belief tracking framework
Chen, W., Chen, J., Su, Y., Wang, X., Yu, D., Yan, X., and Wang, W. Y. (2018) · 2018
Cited alongside, same era.
XNLI: Evaluating cross-lingual sentence representations
Conneau, A., Rinott, R., Lample, G., Williams, A., Bowman, S., Schwenk, H., and Stoyanov, V. (2018) · 2018
Cited alongside, same era.
Understanding back-translation at scale
Edunov, S., Ott, M., Auli, M., and Grangier, D. (2018) · 2018
Cited alongside, same era.
Neural metaphor detection in context
Gao, G., Choi, E., Choi, Y., and Zettlemoyer, L. (2018) · 2018
Cited alongside, same era.
Survey of the state of the art in natural language generation: Core tasks, applications and evaluation
Gatt, A., and Krahmer, E. (2018) · 2018
Cited alongside, same era.
Gluoncv and gluonnlp: deep learning in computer vision and natural language processing.
Guo, J., He, H., He, T., Lausen, L., Li, M., Lin, H., Shi, X., Wang, C., Xie, J., Zha, S., et al. (2020) · 2020
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Don’t stop pretraining: Adapt language models to domains and tasks
Gururangan, S., Marasović, A., Swayamdipta, S., Lo, K., Beltagy, I., Downey, D., and Smith, N. A. (2020) · 2020
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End-to-end neural pipeline for goal-oriented dialogue systems using GPT-2
Ham, D., Lee, J.-G., Jang, Y., and Kim, K.-E. (2020) · 2020
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Multi-level cross-lingual transfer learning with language shared and specific knowledge for spoken language understanding
He, K., Xu, W., and Yan, Y. (2020) · 2020
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Transfer learning and distant supervision for multilingual Transformer models: A study on african languages
Hedderich, M. A., Adelani, D. I., Zhu, D., Alabi, J. O., Markus, U., and Klakow, D. (2020) · 2020
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ConveRT: Efficient and accurate conversational representations from transformers
Henderson, M., Casanueva, I., Mrkšić, N., Su, P.-H., Wen, T.-H., and Vulić, I. (2020) · 2020
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Integrating language and emotion features for multilingual speech emotion recognition
Heracleous, P., Mohammad, Y., and Yoneyama, A. (2020) · 2020
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Twenty years of confusion in human evaluation: Nlg needs evaluation sheets and standardised definitions
Howcroft, D. M., Belz, A., Clinciu, M.-A., Gkatzia, D., Hasan, S. A., Mahamood, S., Mille, S., Van Miltenburg, E., Santhanam, S., and Rieser, V. (2020) · 2020
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XTREME: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation
Hu, J., Ruder, S., Siddhant, A., Neubig, G., Firat, O., and Johnson, M. (2020) · 2020
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The state and fate of linguistic diversity and inclusion in the NLP world
Joshi, P., Santy, S., Budhiraja, A., Bali, K., and Choudhury, M. (2020) · 2020
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GLUECoS: An evaluation benchmark for code-switched NLP
Khanuja, S., Dandapat, S., Srinivasan, A., Sitaram, S., and Choudhury, M. (2020) · 2020
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Efficient dialogue state tracking by selectively overwriting memory
Kim, S., Yang, S., Kim, G., and Lee, S.-W. (2020) · 2020
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When and why is unsupervised neural machine translation useless?
Kim, Y., Graça, M., and Ney, H. (2020) · 2020
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Enhancing deep neural networks with morphological information.
Klemen, M., Krsnik, L., and Robnik-Šikonja, M. (2020) · 2020
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Racial disparities in automated speech recognition
Koenecke, A., Nam, A., Lake, E., Nudell, J., Quartey, M., Mengesha, Z., Toups, C., Rickford, J. R., Jurafsky, D., and Goel, S. (2020) · 2020
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Cross-lingual alignment methods for multilingual bert: A comparative study
Kulshreshtha, S., Garcia, J. L. R., and Chang, C. Y. (2020) · 2020
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From zero to hero: On the limitations of zero-shot language transfer with multilingual transformers
Lauscher, A., Ravishankar, V., Vulić, I., and Glavaš, G. (2020) · 2020
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XGLUE: A new benchmark datasetfor cross-lingual pre-training, understanding and generation
Liang, Y., Duan, N., Gong, Y., Wu, N., Guo, F., Qi, W., Gong, M., Shou, L., Jiang, D., Cao, G., Fan, X., Zhang, R., Agrawal, R., Cui, E., Wei, S., Bharti, T., Qiao, Y., Chen, J., Wu, W., Liu, S., Yang, F., Campos, D., Majumder, R., and Zhou, M. (2020) · 2020
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Pre-training multilingual neural machine translation by leveraging alignment information
Lin, Z., Pan, X., Wang, M., Qiu, X., Feng, J., Zhou, H., and Li, L. (2020a) · 2020
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Named entity recognition without labelled data: A weak supervision approach
Lison, P., Barnes, J., Hubin, A., and Touileb, S. (2020) · 2020
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Multilingual denoising pre-training for neural machine translation
Liu, Y., Gu, J., Goyal, N., Li, X., Edunov, S., Ghazvininejad, M., Lewis, M., and Zettlemoyer, L. (2020) · 2020
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Attention-informed mixed-language training for zero-shot cross-lingual task-oriented dialogue systems
Liu, Z., Winata, G. I., Lin, Z., Xu, P., and Fung, P. (2020) · 2020
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Recent neural methods on slot filling and intent classification for task-oriented dialogue systems: A survey
Louvan, S., and Magnini, B. (2020a) · 2020
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Dukenet: A dual knowledge interaction network for knowledge-grounded conversation
Meng, C., Ren, P., Chen, Z., Sun, W., Ren, Z., Tu, Z., and Rijke, M. d. (2020) · 2020
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TextAttack: A framework for adversarial attacks, data augmentation, and adversarial training in NLP
Morris, J., Lifland, E., Yoo, J. Y., Grigsby, J., Jin, D., and Qi, Y. (2020) · 2020
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One model, many languages: Meta-learning for multilingual text-to-speech
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Viwoz: A multi-domain task-oriented dialogue systems dataset for low-resource language.
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