Alexander Kotov

"Conversational Entity Retrieval from a Knowledge Graph using Aggregation of Fine-grained Relevance Signals with Graph Convolutions and Self-Attention" w/@MonaZamiri accepted as a full paper at #wsdm2026

Full paper "Benchmark and Neural Architecture for Conversational Entity Retrieval from a Knowledge Graph" accepted to #thewebconf2024

"Bayesian approach to incorporating different types of biomedical knowledge bases into information retrieval systems for clinical decision support in precision medicine" w @sBalaneshin published by the J Biomed Inform #ir #cancer #genomics #CDS bit.ly/2RASxcG

"Joint Word and Entity Embeddings for Entity Retrieval from Knowledge Graph" w/ Fedor Nikolaev accepted as a full paper to #ECIR2020

Preprint of our #cikm2018 paper "Attentive Neural Architecture for Ad-hoc Structured Document Retrieval" bit.ly/2CPMpqQ . Will be presented in Session 7E 10:30am - noon on Oct 25. See you in Turin!

Internships with my team @SpotifyResearch in NYC! ML for search and recommendations, user modeling, evaluation+experimentation. Apply by Dec 16: spotifyjobs.com/job/research-s…

@guidozuc @UQ_News @IELabGroup Congratulations, Guido! Best of luck with your new adventure!

Today is my last day as an academic at QUT. From tomorrow, I will join the University of Queensland @UQ_News where I will be collaborating with top academics in Data Science - all the @IELabGroup is also moving with me. I am looking forward to start this new adventure!

Introducing a new dataset: HotpotQA A Dataset for Diverse, Explainable Multi-hop Question Answering, featuring natural, multi-hop questions. Code, #emnlp2018 paper, leaderboard: hotpotqa.github.io Joint efforts by teams from CMU, Stanford, and Montreal.

Releasing source code bit.ly/2NwAaVS for template-based Question-guided Search Engine proposed in our WWW 2010 paper bit.ly/2zpA7mn. Can be used as a baseline for neural conversational search systems after some brushing up #ConversationalIR #QuestionGeneration

"Attentive Neural Architecture for Ad-hoc Structured Document Retrieval" w/ @sBalaneshin and Fedor Nikolaev accepted as full paper to #cikm2018

Grace has done a great job presenting our work on medical IR #sigir2018

Slides for our tutorial "Utilizing KGs for Text-centric Information Retrieval" (with @lauradietz99 & @rusillini) " can be found at github.com/laura-dietz/tu…. References at mendeley.com/community/enti… #sigir2018 #KG4IR

Do you want to train Latent Dirichlet Allocation the same way as a Variational Autoencoder? TensorFlow Probability now includes an example on how to do this! github.com/tensorflow/pro…

Application deadline for RuSSIR 2018 is coming up (June 17) romip.ru/russir2018/97-…

A fantastic real (not crowdsourced!) data of 170K real dialogs of which 100K have at least three turn!!! collected by @LTIatCMU folks github.com/DialRC/LetsGoD…

Want to develop AI expertise? This is a really interesting new opportunity to gain skills and hands-on experience by working alongside prominent AI researchers and engineers. twitter.com/MSFTResearch/s…

@diazf_acm Congratulations, Fernando!

#cikm17 short paper w/ CUNY collaborators on creating review summaries around sentiment-specific topics bit.ly/2xZjPxj

Writing a (good) paper is always an art, but if u are reporting results that go against the mainstream, then you should write a masterpiece.

"Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and Images" w/ @sBalaneshin accepted to #WSDM18