![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Nikola Mrksic
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2021
- [c30]Ivan Vulic, Pei-Hao Su, Samuel Coope, Daniela Gerz, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Tsung-Hsien Wen:
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models. EMNLP (1) 2021: 1151-1168 - [c29]Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michal Lis, Eshan Singhal, Nikola Mrksic, Tsung-Hsien Wen, Ivan Vulic:
Multilingual and Cross-Lingual Intent Detection from Spoken Data. EMNLP (1) 2021: 7468-7475 - [i30]Daniela Gerz, Pei-Hao Su, Razvan Kusztos, Avishek Mondal, Michal Lis, Eshan Singhal, Nikola Mrksic, Tsung-Hsien Wen, Ivan Vulic:
Multilingual and Cross-Lingual Intent Detection from Spoken Data. CoRR abs/2104.08524 (2021) - [i29]Ivan Vulic, Pei-Hao Su, Sam Coope, Daniela Gerz, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Tsung-Hsien Wen:
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models. CoRR abs/2109.10126 (2021) - 2020
- [c28]Matthew Henderson, Iñigo Casanueva, Nikola Mrksic, Pei-Hao Su, Tsung-Hsien Wen, Ivan Vulic:
ConveRT: Efficient and Accurate Conversational Representations from Transformers. EMNLP (Findings) 2020: 2161-2174
2010 – 2019
- 2019
- [c27]Matthew Henderson, Ivan Vulic, Daniela Gerz, Iñigo Casanueva, Pawel Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
Training Neural Response Selection for Task-Oriented Dialogue Systems. ACL (1) 2019: 5392-5404 - [c26]Matthew Henderson, Ivan Vulic, Iñigo Casanueva, Pawel Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking. EMNLP/IJCNLP (3) 2019: 181-186 - [i28]Matthew Henderson, Pawel Budzianowski, Iñigo Casanueva, Sam Coope, Daniela Gerz, Girish Kumar, Nikola Mrksic, Georgios Spithourakis, Pei-Hao Su, Ivan Vulic, Tsung-Hsien Wen:
A Repository of Conversational Datasets. CoRR abs/1904.06472 (2019) - [i27]Matthew Henderson, Ivan Vulic, Daniela Gerz, Iñigo Casanueva, Pawel Budzianowski, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
Training Neural Response Selection for Task-Oriented Dialogue Systems. CoRR abs/1906.01543 (2019) - [i26]Matthew Henderson, Ivan Vulic, Iñigo Casanueva, Pawel Budzianowski, Daniela Gerz, Sam Coope, Georgios Spithourakis, Tsung-Hsien Wen, Nikola Mrksic, Pei-Hao Su:
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking. CoRR abs/1909.01296 (2019) - [i25]Matthew Henderson, Iñigo Casanueva, Nikola Mrksic, Pei-Hao Su, Tsung-Hsien Wen, Ivan Vulic:
ConveRT: Efficient and Accurate Conversational Representations from Transformers. CoRR abs/1911.03688 (2019) - 2018
- [b1]Nikola Mrksic:
Data-driven language understanding for spoken dialogue systems. University of Cambridge, UK, 2018 - [c25]Nikola Mrksic, Ivan Vulic:
Fully Statistical Neural Belief Tracking. ACL (2) 2018: 108-113 - [c24]Edoardo Maria Ponti, Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. EMNLP 2018: 282-293 - [c23]Pei-Hao Su, Nikola Mrksic, Iñigo Casanueva, Ivan Vulic:
Deep Learning for Conversational AI. NAACL-HLT (Tutorial Abstracts) 2018: 27-32 - [c22]Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources. NAACL-HLT 2018: 516-527 - [c21]Ivan Vulic, Nikola Mrksic:
Specialising Word Vectors for Lexical Entailment. NAACL-HLT 2018: 1134-1145 - [i24]Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources. CoRR abs/1805.03228 (2018) - [i23]Nikola Mrksic, Ivan Vulic:
Fully Statistical Neural Belief Tracking. CoRR abs/1805.11350 (2018) - [i22]Edoardo Maria Ponti, Ivan Vulic, Goran Glavas, Nikola Mrksic, Anna Korhonen:
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization. CoRR abs/1809.04163 (2018) - 2017
- [j2]Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Dialogue manager domain adaptation using Gaussian process reinforcement learning. Comput. Speech Lang. 45: 552-569 (2017) - [j1]Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, Steve J. Young:
Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints. Trans. Assoc. Comput. Linguistics 5: 309-324 (2017) - [c20]Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen:
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. ACL (1) 2017: 56-68 - [c19]Stefan Ultes, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Dongho Kim, Iñigo Casanueva, Pawel Budzianowski, Nikola Mrksic, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
PyDial: A Multi-domain Statistical Dialogue System Toolkit. ACL (System Demonstrations) 2017: 73-78 - [c18]Nikola Mrksic, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, Steve J. Young:
Neural Belief Tracker: Data-Driven Dialogue State Tracking. ACL (1) 2017: 1777-1788 - [c17]Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, Steve J. Young:
A Network-based End-to-End Trainable Task-oriented Dialogue System. EACL (1) 2017: 438-449 - [c16]Ivan Vulic, Nikola Mrksic, Anna Korhonen:
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation. EMNLP 2017: 2546-2558 - [c15]Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning. INTERSPEECH 2017: 1721-1725 - [c14]Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning. SIGDIAL Conference 2017: 65-70 - [c13]Pawel Budzianowski, Stefan Ultes, Pei-Hao Su, Nikola Mrksic, Tsung-Hsien Wen, Iñigo Casanueva, Lina Maria Rojas-Barahona, Milica Gasic:
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning. SIGDIAL Conference 2017: 86-92 - [i21]Nikola Mrksic, Ivan Vulic, Diarmuid Ó Séaghdha, Ira Leviant, Roi Reichart, Milica Gasic, Anna Korhonen, Steve J. Young:
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints. CoRR abs/1706.00374 (2017) - [i20]Ivan Vulic, Nikola Mrksic, Roi Reichart, Diarmuid Ó Séaghdha, Steve J. Young, Anna Korhonen:
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules. CoRR abs/1706.00377 (2017) - [i19]Pawel Budzianowski, Stefan Ultes, Pei-Hao Su, Nikola Mrksic, Tsung-Hsien Wen, Iñigo Casanueva, Lina Maria Rojas-Barahona, Milica Gasic:
Sub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning. CoRR abs/1706.06210 (2017) - [i18]Stefan Ultes, Pawel Budzianowski, Iñigo Casanueva, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Tsung-Hsien Wen, Milica Gasic, Steve J. Young:
Reward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning. CoRR abs/1707.06299 (2017) - [i17]Ivan Vulic, Nikola Mrksic, Anna Korhonen:
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation. CoRR abs/1707.06945 (2017) - [i16]Ivan Vulic, Nikola Mrksic:
Specialising Word Vectors for Lexical Entailment. CoRR abs/1710.06371 (2017) - [i15]Iñigo Casanueva, Pawel Budzianowski, Pei-Hao Su, Nikola Mrksic, Tsung-Hsien Wen, Stefan Ultes, Lina Maria Rojas-Barahona, Steve J. Young, Milica Gasic:
A Benchmarking Environment for Reinforcement Learning Based Task Oriented Dialogue Management. CoRR abs/1711.11023 (2017) - 2016
- [c12]Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems. ACL (1) 2016 - [c11]Lina Maria Rojas-Barahona, Milica Gasic, Nikola Mrksic, Pei-Hao Su, Stefan Ultes, Tsung-Hsien Wen, Steve J. Young:
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding. COLING 2016: 258-267 - [c10]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve J. Young:
Conditional Generation and Snapshot Learning in Neural Dialogue Systems. EMNLP 2016: 2153-2162 - [c9]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Steve J. Young:
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems. HLT-NAACL 2016: 120-129 - [c8]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Counter-fitting Word Vectors to Linguistic Constraints. HLT-NAACL 2016: 142-148 - [i14]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Lina Maria Rojas-Barahona, Pei-Hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Counter-fitting Word Vectors to Linguistic Constraints. CoRR abs/1603.00892 (2016) - [i13]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-hao Su, David Vandyke, Steve J. Young:
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems. CoRR abs/1603.01232 (2016) - [i12]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve J. Young:
A Network-based End-to-End Trainable Task-oriented Dialogue System. CoRR abs/1604.04562 (2016) - [i11]Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems. CoRR abs/1605.07669 (2016) - [i10]Pei-Hao Su, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Continuously Learning Neural Dialogue Management. CoRR abs/1606.02689 (2016) - [i9]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Steve J. Young:
Conditional Generation and Snapshot Learning in Neural Dialogue Systems. CoRR abs/1606.03352 (2016) - [i8]Nikola Mrksic, Diarmuid Ó Séaghdha, Tsung-Hsien Wen, Blaise Thomson, Steve J. Young:
Neural Belief Tracker: Data-Driven Dialogue State Tracking. CoRR abs/1606.03777 (2016) - [i7]Milica Gasic, Nikola Mrksic, Lina Maria Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Dialogue manager domain adaptation using Gaussian process reinforcement learning. CoRR abs/1609.02846 (2016) - [i6]Lina Maria Rojas-Barahona, Milica Gasic, Nikola Mrksic, Pei-Hao Su, Stefan Ultes, Tsung-Hsien Wen, Steve J. Young:
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding. CoRR abs/1610.04120 (2016) - 2015
- [c7]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Multi-domain Dialog State Tracking using Recurrent Neural Networks. ACL (2) 2015: 794-799 - [c6]David Vandyke, Pei-hao Su, Milica Gasic, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Multi-domain dialogue success classifiers for policy training. ASRU 2015: 763-770 - [c5]Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Policy committee for adaptation in multi-domain spoken dialogue systems. ASRU 2015: 806-812 - [c4]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, Steve J. Young:
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems. EMNLP 2015: 1711-1721 - [c3]Pei-hao Su, David Vandyke, Milica Gasic, Dongho Kim, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Learning from real users: rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems. INTERSPEECH 2015: 2007-2011 - [c2]Tsung-Hsien Wen, Milica Gasic, Dongho Kim, Nikola Mrksic, Pei-Hao Su, David Vandyke, Steve J. Young:
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking. SIGDIAL Conference 2015: 275-284 - [c1]Pei-Hao Su, David Vandyke, Milica Gasic, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems. SIGDIAL Conference 2015: 417-421 - [i5]Nikola Mrksic, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gasic, Pei-hao Su, David Vandyke, Tsung-Hsien Wen, Steve J. Young:
Multi-domain Dialog State Tracking using Recurrent Neural Networks. CoRR abs/1506.07190 (2015) - [i4]Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Pei-hao Su, David Vandyke, Steve J. Young:
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems. CoRR abs/1508.01745 (2015) - [i3]Tsung-Hsien Wen, Milica Gasic, Dongho Kim, Nikola Mrksic, Pei-hao Su, David Vandyke, Steve J. Young:
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking. CoRR abs/1508.01755 (2015) - [i2]Pei-hao Su, David Vandyke, Milica Gasic, Dongho Kim, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Learning from Real Users: Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems. CoRR abs/1508.03386 (2015) - [i1]Pei-hao Su, David Vandyke, Milica Gasic, Nikola Mrksic, Tsung-Hsien Wen, Steve J. Young:
Reward Shaping with Recurrent Neural Networks for Speeding up On-Line Policy Learning in Spoken Dialogue Systems. CoRR abs/1508.03391 (2015)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-06-20 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint