14 citations · 25 across the 4 of their papers we have counts for
5 papers
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection
Yadollah Yaghoobzadeh, Alexandre Rochette, Timothy J. Hazen
Duplicate question detection (DQD) is important to increase efficiency of community and automatic question answering systems. Unfortunately, gathering supervised data in a domain i…
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks
Timothy J. Hazen, Shehzaad Dhuliawala, Daniel Boies
This paper explores domain adaptation for enabling question answering (QA) systems to answer questions posed against documents in new specialized domains. Current QA systems using…
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection
Alexandre Rochette, Yadollah Yaghoobzadeh, Timothy J. Hazen
Answering questions is a primary goal of many conversational systems or search products. While most current systems have focused on answering questions against structured databases…
Increasing Robustness to Spurious Correlations using Forgettable Examples
Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet +2
Neural NLP models tend to rely on spurious correlations between labels and input features to perform their tasks. Minority examples, i.e., examples that contradict the spurious cor…
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Yadollah Yaghoobzadeh, Katharina Kann, Timothy J. Hazen +2
Word embeddings typically represent different meanings of a word in a single conflated vector. Empirical analysis of embeddings of ambiguous words is currently limited by the small…