Nikola Mrkšić
25 papers · 2015–2021 · 6 venues · across top CS/AI venues
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Research topics
Natural Language Processing
(14)
Machine Learning
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Generation
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Artificial Intelligence
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Deep Learning
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Keywords
word vector
(5)
dialogue system
(3)
cross-lingual transfer
(3)
word embedding
(3)
response selection
(3)
dialogue state tracking
(3)
task-oriented dialogue
(3)
spoken language understanding
(3)
distributional semantics
(3)
semantic similarity
(3)
domain adaptation
(2)
intent detection
(2)
transfer learning
(2)
representation learning
(2)
vector space
(2)
goal-oriented dialogue
(2)
conversational ai
(1)
few-shot learning
(1)
lexical semantics
(1)
speech recognition
(1)
Papers
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
EMNLP 2021
Multilingual and Cross-Lingual Intent Detection from Spoken Data
EMNLP 2021
ConveRT: Efficient and Accurate Conversational Representations from Transformers
EMNLP 2020
A Repository of Conversational Datasets
ACL 2019
PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking
EMNLP 2019
Training Neural Response Selection for Task-Oriented Dialogue Systems
ACL 2019
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
EMNLP 2018
Deep Learning for Conversational AI
NAACL 2018
Fully Statistical Neural Belief Tracking
ACL 2018
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
NAACL 2018
Specialising Word Vectors for Lexical Entailment
NAACL 2018
A Network-based End-to-End Trainable Task-oriented Dialogue System
EACL 2017
Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
EMNLP 2017
Domain-Independent User Satisfaction Reward Estimation for Dialogue Policy Learning
Interspeech 2017
Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules
ACL 2017
Neural Belief Tracker: Data-Driven Dialogue State Tracking
ACL 2017
PyDial: A Multi-domain Statistical Dialogue System Toolkit
ACL 2017
Word Vector Space Specialisation
EACL 2017
Conditional Generation and Snapshot Learning in Neural Dialogue Systems
EMNLP 2016
Counter-fitting Word Vectors to Linguistic Constraints
NAACL 2016
Exploiting Sentence and Context Representations in Deep Neural Models for Spoken Language Understanding
COLING 2016
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems
NAACL 2016
On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
ACL 2016
Multi-domain Dialog State Tracking using Recurrent Neural Networks
ACL 2015
Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems
EMNLP 2015