1.8k citations · 3.2k across the 64 of their papers we have counts for
6 papers · 2 filters
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
Xiang Hu, Haitao Mi, Zujie Wen +4
Human language understanding operates at multiple levels of granularity (e.g., words, phrases, and sentences) with increasing levels of abstraction that can be hierarchically combi…
Guilt by Association: Emotion Intensities in Lexical Representations
Shahab Raji, Gerard de Melo
What do word vector representations reveal about the emotions associated with words? In this study, we consider the task of estimating word-level emotion intensity scores for speci…
Context-Aware Interaction Network for Question Matching
Zhe Hu, Zuohui Fu, Yu Yin +1
Impressive milestones have been achieved in text matching by adopting a cross-attention mechanism to capture pertinent semantic connections between two sentence representations. Ho…
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…
Assessing Emoji Use in Modern Text Processing Tools
Abu Awal Md Shoeb, Gerard de Melo
Emojis have become ubiquitous in digital communication, due to their visual appeal as well as their ability to vividly convey human emotion, among other factors. The growing promin…