Ivan Titov
119 papers · 2005–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 27 separate collaboration groups - the largest holds only 21% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Ivan Titov?
14 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Wilker Aziz, Nicola De Cao, Diego Marcheggiani
20 papers
· 2017–2025
· EMNLP, ACL, NAACL
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with James Henderson, Paola Merlo, Gabriele Musillo
8 papers
· 2005–2010
· CoNLL, ACL, EMNLP
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Incremental Sigmoid Belief Networks for Grammar Learning
JMLR 2010
A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages
CoNLL 2009
A Latent Variable Model of Synchronous Parsing for Syntactic and Semantic Dependencies
CoNLL 2008
Constituent Parsing with Incremental Sigmoid Belief Networks
ACL 2007
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
EMNLP 2007
Loss Minimization in Parse Reranking
EMNLP 2006
Porting Statistical Parsers with Data-Defined Kernels
CoNLL 2006
Data-Defined Kernels for Parse Reranking Derived from Probabilistic Models
ACL 2005
13 papers whose co-authors appear nowhere else under this name
Mitigating Copy Bias in In-Context Learning through Neuron Pruning
EACL 2026
Joint Localization and Activation Editing for Low-Resource Fine-Tuning
ICML 2025
Autoencoding Conditional Neural Processes for Representation Learning
ICML 2024
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training
EMNLP 2023
Theoretical and Practical Perspectives on what Influence Functions Do
NeurIPS 2023
Proceedings of the 22nd Conference on Computational Natural Language Learning
CoNLL 2018
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
NAACL 2016
Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework
NAACL 2015
A Bayesian Model for Joint Unsupervised Induction of Sentiment, Aspect and Discourse Representations
ACL 2013
Semantic Role Labeling
NAACL 2013
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
ACL 2011
Unsupervised Discourse Segmentation of Documents with Inherently Parallel Structure
ACL 2010
A Joint Model of Text and Aspect Ratings for Sentiment Summarization
ACL 2008