Oleg Rokhlenko

Budget-Constrained Item Cold-Start Handling in Collaborative Filtering Recommenders via Optimal Design

2015

It is well known that collaborative filtering (CF) based recommender systems provide better modeling of users and items associated with considerable rating history. The lack of historical ratings results in the user and the item …

CycleNER: An Unsupervised Training Approach for Named Entity Recognition

2022 · Proceedings of the ACM Web Conference 2022

Named Entity Recognition (NER) is a crucial natural language understanding task for many down-stream tasks such as question answering and retrieval. Despite significant progress in developing NER models for multiple languages and domains, scaling to …

Reinforced Question Rewriting for Conversational Question Answering

2022 · arXiv (Cornell University)

Conversational Question Answering (CQA) aims to answer questions contained within dialogues, which are not easily interpretable without context. Developing a model to rewrite conversational questions into self-contained ones is an emerging solution in industry settings …

MultiCoNER: A Large-scale Multilingual dataset for Complex Named Entity Recognition

2022 · arXiv (Cornell University)

We present MultiCoNER, a large multilingual dataset for Named Entity Recognition that covers 3 domains (Wiki sentences, questions, and search queries) across 11 languages, as well as multilingual and code-mixing subsets. This dataset is designed …