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Computer Science

D-Index
31
Citations
5322
World Ranking
13488
National Ranking
860

Overview

Nikola Mrksic is affiliated with PolyAI Limited in the United Kingdom. Their research primarily focuses on computer science, with a specialization in artificial intelligence and related subfields. The scientist's work extends to computer vision and pattern recognition as well.

The main topics covered in Nikola Mrksic's research include topic modeling, natural language processing techniques, speech recognition and synthesis, and multimodal machine learning applications.

Frequent co-authors collaborating with Nikola Mrksic are:

  • Ivan Vulić
  • Pei-Hao Su
  • Daniela Gerz
  • Tsung-Hsien Wen
  • Samuel Coope

Notable recent papers authored by Nikola Mrksic include:

  • ConvFiT: Conversational Fine-Tuning of Pretrained Language Models, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Multilingual and Cross-Lingual Intent Detection from Spoken Data, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • ConvFiT: Conversational Fine-Tuning of Pretrained Language Models, 2021, arXiv (Cornell University)

Nikola Mrksic's publications have appeared predominantly in the Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and in preprint repositories such as arXiv.

Best Publications

  • Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

    Tsung-Hsien Wen;Milica Gasic;Nikola Mrkšić;Pei-Hao Su

  • A Network-based End-to-End Trainable Task-oriented Dialogue System

    Tsung-Hsien Wen;David Vandyke;Nikola Mrksic;Milica Gasic

  • Neural Belief Tracker: Data-Driven Dialogue State Tracking

    Nikola Mrksic;Diarmuid Ó Séaghdha;Tsung-Hsien Wen;Blaise Thomson

  • Counter-fitting word vectors to linguistic constraints

    Nikola Mrksic;Diarmuid Ó Séaghdha;Blaise Thomson;Milica Gasic

  • Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

    Unknown

  • Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

    Nikola Mrksic;Nikola Mrksic;Ivan Vulic;Diarmuid Ó Séaghdha;Ira Leviant

  • Multi-domain Neural Network Language Generation for Spoken Dialogue Systems

    Tsung-Hsien Wen;Milica Gasic;Nikola Mrksic;Lina Maria Rojas-Barahona

  • Multi-domain Dialog State Tracking using Recurrent Neural Networks

    Nikola Mrkšić;Diarmuid Ó Séaghdha;Blaise Thomson;Milica Gasic

  • ConveRT: Efficient and Accurate Conversational Representations from Transformers

    Matthew Henderson;Iñigo Casanueva;Nikola Mrkšić;Pei-Hao Su

  • PyDial: A Multi-domain Statistical Dialogue System Toolkit

    Stefan Ultes;Lina Maria Rojas-Barahona;Pei-Hao Su;David Vandyke

  • Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking

    Tsung-Hsien Wen;Milica Gasic;Dongho Kim;Nikola Mrksic

  • Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

    Tsung-Hsien Wen;Milica Gasic;Nikola Mrksic;Pei-Hao Su

  • A Network-based End-to-End Trainable Task-oriented Dialogue System

    Tsung-Hsien Wen;David Vandyke;Nikola Mrksic;Milica Gasic

  • On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems

    Pei-Hao Su;Milica Gasic;Nikola Mrksic;Lina Maria Rojas-Barahona

  • Continuously Learning Neural Dialogue Management.

    Pei-Hao Su;Milica Gasic;Nikola Mrksic;Lina Maria Rojas-Barahona

  • Training Neural Response Selection for Task-Oriented Dialogue Systems

    Matthew Henderson;Ivan Vulić;Daniela Gerz;Iñigo Casanueva

  • Specialising Word Vectors for Lexical Entailment

    Ivan Vulić;Nikola Mrkšić

  • Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking

    Tsung-Hsien Wen;Milica Gasic;Dongho Kim;Nikola Mrksic

  • Conditional Generation and Snapshot Learning in Neural Dialogue Systems

    Tsung-Hsien Wen;Milica Gasic;Nikola Mrksic;Lina Maria Rojas-Barahona

  • A Repository of Conversational Datasets

    Matthew Henderson;Paweł Budzianowski;Iñigo Casanueva;Sam Coope

  • On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems

    Pei-Hao Su;Milica Gasic;Nikola Mrksic;Lina Rojas-Barahona

  • Learning from real users: Rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems

    Pei-hao Su;David Vandyke;Milica Gasic;Dongho Kim

  • Training Neural Response Selection for Task-Oriented Dialogue Systems

    Matthew Henderson;Ivan Vulić;Daniela Gerz;Iñigo Casanueva

  • Neural Belief Tracker: Data-Driven Dialogue State Tracking

    Nikola Mrkšić;Diarmuid Ó Séaghdha;Tsung-Hsien Wen;Blaise Thomson

  • Policy committee for adaptation in multi-domain spoken dialogue systems

    M. Gasic;N. Mrksic;P-H. Su;D. Vandyke

  • Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

    Nikola Mrkšić;Ivan Vulić;Diarmuid Ó Séaghdha;Ira Leviant

Frequent Co-Authors

Steve Young
Steve Young University of Cambridge
Milica Gasic
Milica Gasic Heinrich Heine University Düsseldorf
Ivan Vulić
Ivan Vulić University of Cambridge
Roi Reichart
Roi Reichart Technion – Israel Institute of Technology
Anna Korhonen
Anna Korhonen University of Cambridge

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