Nikola Mrksic

According to our database1, Nikola Mrksic authored at least 37 papers between 2015 and 2021.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multilingual and Cross-Lingual Intent Detection from Spoken Data.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
ConveRT: Efficient and Accurate Conversational Representations from Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
A Repository of Conversational Datasets.
CoRR, 2019

PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Training Neural Response Selection for Task-Oriented Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Data-driven language understanding for spoken dialogue systems.
PhD thesis, 2018

Specialising Word Vectors for Lexical Entailment.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Deep Learning for Conversational AI.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Fully Statistical Neural Belief Tracking.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints.
Trans. Assoc. Comput. Linguistics, 2017

Dialogue manager domain adaptation using Gaussian process reinforcement learning.
Comput. Speech Lang., 2017

A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management.
CoRR, 2017

Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints.
CoRR, 2017

Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Network-based End-to-End Trainable Task-oriented Dialogue System.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

PyDial: A Multi-domain Statistical Dialogue System Toolkit.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Neural Belief Tracker: Data-Driven Dialogue State Tracking.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Continuously Learning Neural Dialogue Management.
CoRR, 2016

Multi-domain Neural Network Language Generation for Spoken Dialogue Systems.
Proceedings of the NAACL HLT 2016, 2016

Counter-fitting Word Vectors to Linguistic Constraints.
Proceedings of the NAACL HLT 2016, 2016

Conditional Generation and Snapshot Learning in Neural Dialogue Systems.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding.
Proceedings of the COLING 2016, 2016

On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking.
Proceedings of the SIGDIAL 2015 Conference, 2015

Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems.
Proceedings of the SIGDIAL 2015 Conference, 2015

Learning from real users: rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Multi-domain dialogue success classifiers for policy training.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Policy committee for adaptation in multi-domain spoken dialogue systems.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Multi-domain Dialog State Tracking using Recurrent Neural Networks.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015


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