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05/04/2023
Adaptive Selection of Anchor Items for CUR-based k-NN search with Cross-Encoders
Cross-encoder models, which jointly encode and score a query-item pair, ...
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03/27/2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining
Dual encoder models are ubiquitous in modern classification and retrieva...
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10/26/2022
Autoregressive Structured Prediction with Language Models
Recent years have seen a paradigm shift in NLP towards using pretrained ...
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10/23/2022
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization
Efficient k-nearest neighbor search is a fundamental task, foundational ...
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10/07/2022
Longtonotes: OntoNotes with Longer Coreference Chains
Ontonotes has served as the most important benchmark for coreference res...
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09/15/2022
Unsupervised Opinion Summarization Using Approximate Geodesics
Opinion summarization is the task of creating summaries capturing popula...
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12/17/2021
Sublinear Time Approximation of Text Similarity Matrices
We study algorithms for approximating pairwise similarity matrices that ...
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09/02/2021
Entity Linking and Discovery via Arborescence-based Supervised Clustering
Previous work has shown promising results in performing entity linking b...
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04/14/2021
Exact and Approximate Hierarchical Clustering Using A*
Hierarchical clustering is a critical task in numerous domains. Many app...
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02/14/2021
Model-Agnostic Graph Regularization for Few-Shot Learning
In many domains, relationships between categories are encoded in the kno...
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10/22/2020
Scalable Bottom-Up Hierarchical Clustering
Bottom-up algorithms such as the classic hierarchical agglomerative clus...
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10/21/2020
Clustering-based Inference for Zero-Shot Biomedical Entity Linking
Due to large number of entities in biomedical knowledge bases, only a sm...
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10/07/2020
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
A case-based reasoning (CBR) system solves a new problem by retrieving `...
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06/09/2020
Using BibTeX to Automatically Generate Labeled Data for Citation Field Extraction
Accurate parsing of citation reference strings is crucial to automatical...
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02/26/2020
Compact Representation of Uncertainty in Hierarchical Clustering
Hierarchical clustering is a fundamental task often used to discover mea...
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12/31/2019
Scalable Hierarchical Clustering with Tree Grafting
We introduce Grinch, a new algorithm for large-scale, non-greedy hierarc...
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07/23/2019
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
String similarity models are vital for record linkage, entity resolution...
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06/19/2019
Supervised Hierarchical Clustering with Exponential Linkage
In supervised clustering, standard techniques for learning a pairwise di...
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06/29/2018
Play Duration based User-Entity Affinity Modeling in Spoken Dialog System
Multimedia streaming services over spoken dialog systems have become ubi...
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04/06/2017