Search Results for author: Kevyn Collins-Thompson

Found 4 papers, 0 papers with code

An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications

no code implementations21 Apr 2022 Sungjin Nam, David Jurgens, Kevyn Collins-Thompson

Second, we show how our model identifies key contextual elements in a sentence that are likely to contribute most to a reader's understanding of the target word.


Human Perception of Surprise: A User Study

no code implementations16 Jul 2018 Nalin Chhibber, Rohail Syed, Mengqiu Teng, Joslin Goh, Kevyn Collins-Thompson, Edith Law

Understanding how to engage users is a critical question in many applications.

Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context

no code implementations EMNLP 2016 Elliot Schumacher, Maxine Eskenazi, Gwen Frishkoff, Kevyn Collins-Thompson

The problem of accurately predicting relative reading difficulty across a set of sentences arises in a number of important natural language applications, such as finding and curating effective usage examples for intelligent language tutoring systems.

Estimating Robust Query Models with Convex Optimization

no code implementations NeurIPS 2008 Kevyn Collins-Thompson

Query expansion is a long-studied approach for improving retrieval effectiveness by enhancing the user’s original query with additional related terms.

Cannot find the paper you are looking for? You can Submit a new open access paper.