32 citations · 76 across the 8 of their papers we have counts for
8 papers
CLSE: Corpus of Linguistically Significant Entities
Aleksandr Chuklin, Justin Zhao, Mihir Kale
One of the biggest challenges of natural language generation (NLG) is the proper handling of named entities. Named entities are a common source of grammar mistakes such as wrong pr…
Text Generation with Text-Editing Models
Eric Malmi, Yue Dong, Jonathan Mallinson +7
Text-editing models have recently become a prominent alternative to seq2seq models for monolingual text-generation tasks such as grammatical error correction, simplification, and s…
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin +2
Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an important direction for improving the quality of the system response. Namely, for cases whe…
ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ)
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin +2
This document presents a detailed description of the challenge on clarifying questions for dialogue systems (ClariQ). The challenge is organized as part of the Conversational AI ch…
Prosody Modifications for Question-Answering in Voice-Only Settings
Aleksandr Chuklin, Aliaksei Severyn, Johanne Trippas +3
Many popular form factors of digital assistants---such as Amazon Echo, Apple Homepod, or Google Home---enable the user to hold a conversation with these systems based only on the s…
Incorporating Clicks, Attention and Satisfaction into a Search Engine Result Page Evaluation Model
Aleksandr Chuklin, Maarten de Rijke
Modern search engine result pages often provide immediate value to users and organize information in such a way that it is easy to navigate. The core ranking function contributes t…
The Anatomy of Relevance: Topical, Snippet and Perceived Relevance in Search Result Evaluation
Aleksandr Chuklin, Maarten de Rijke
Currently, the quality of a search engine is often determined using so-called topical relevance, i.e., the match between the user intent (expressed as a query) and the content of t…
Effective protocols for low-distance file synchronization
Aleksandr Chuklin
Suppose that we have two similar files stored on different computers. We need to send the file from the first computer to the second one trying to minimize the number of bits trans…