Frank Mtumbuka
4 papers · 2020–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(11)
Top co-authors
Research topics
Keywords
neural network
(2)
open information extraction
(2)
data augmentation
(1)
lexical semantics
(1)
dependency parsing
(1)
coreference resolution
(1)
discriminative training
(1)
loss function
(1)
language model
(1)
text embedding
(1)
pre-trained language model
(1)
dependency tree
(1)
text extraction
(1)
probing task
(1)
fine-grained entity typing
(1)
structured triple
(1)
distributional hypothesis
(1)
logical negation
(1)
entity encoder
(1)
representation learning
(1)
Papers
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
EACL 2024
Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence
NAACL 2022
Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction
EMNLP 2022
Systematic Comparison of Neural Architectures and Training Approaches for Open Information Extraction
EMNLP 2020