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20172021
most citedFast and Effective Biomedical Entity Linking Using a Dual Encoder

13 citations · 17 across the 6 of their papers we have counts for

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12 papers · 1 filter

cs.CL20211 cited

Understanding Hard Negatives in Noise Contrastive Estimation

Wenzheng Zhang, Karl Stratos

The choice of negative examples is important in noise contrastive estimation. Recent works find that hard negatives -- highest-scoring incorrect examples under the model -- are eff…

cs.CL202113 cited

Fast and Effective Biomedical Entity Linking Using a Dual Encoder

Rajarshi Bhowmik, Karl Stratos, Gerard de Melo

Biomedical entity linking is the task of identifying mentions of biomedical concepts in text documents and mapping them to canonical entities in a target thesaurus. Recent advancem…

cs.CL2021

Data-to-text Generation by Splicing Together Nearest Neighbors

Sam Wiseman, Arturs Backurs, Karl Stratos

We propose to tackle data-to-text generation tasks by directly splicing together retrieved segments of text from "neighbor" source-target pairs. Unlike recent work that conditions…

cs.CL20201 cited

Unsupervised Label Refinement Improves Dataless Text Classification

Zewei Chu, Karl Stratos, Kevin Gimpel

Dataless text classification is capable of classifying documents into previously unseen labels by assigning a score to any document paired with a label description. While promising…

cs.CL2020

Corrected CBOW Performs as well as Skip-gram

Ozan İrsoy, Adrian Benton, Karl Stratos

Mikolov et al. (2013a) observed that continuous bag-of-words (CBOW) word embeddings tend to underperform Skip-gram (SG) embeddings, and this finding has been reported in subsequent…

cs.CL2020

Mining Knowledge for Natural Language Inference from Wikipedia Categories

Mingda Chen, Zewei Chu, Karl Stratos +1

Accurate lexical entailment (LE) and natural language inference (NLI) often require large quantities of costly annotations. To alleviate the need for labeled data, we introduce Wik…