Search Results for author:
Found 7 papers, 1 papers with code
Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings
Word embeddings typically represent different meanings of a word in a single conflated vector.
Ranking Passages for Argument Convincingness
We detail the process of extracting topical passages for queries submitted to a search engine, creating annotated sets of passages aligned to different stances on a topic, and assessing argument convincingness of passages using pairwise annotation.
Towards Domain Adaptation from Limited Data for Question Answering Using Deep Neural Networks
This paper explores domain adaptation for enabling question answering (QA) systems to answer questions posed against documents in new specialized domains.
Unsupervised Domain Adaptation of Contextual Embeddings for Low-Resource Duplicate Question Detection
In this paper, we apply BERT to DQD and advance it by unsupervised adaptation to StackExchange domains using self-supervised learning.
On the Social and Technical Challenges of Web Search Autosuggestion Moderation
Past research shows that users benefit from systems that support them in their writing and exploration tasks.
Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection
Duplicate question detection (DQD) is important to increase efficiency of community and automatic question answering systems.
Transformer models: an introduction and catalog
The goal of this paper is to offer a somewhat comprehensive but simple catalog and classification of the most popular Transformer models.
