Dayne Freitag
16 papers · 2004–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (21)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(7)
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Interdisciplinary Bridge
πΊ
Lone Wolf
(3)
π
Century Club
(16)
Conferences
EMNLP (5)
COLING (3)
CONLL (3)
NAACL (3)
AAAI (1)
ACL (1)
Top co-authors
Keywords
information extraction
(4)
scholarly document processing
(4)
information retrieval
(4)
document summarization
(3)
scholarly document
(3)
natural language processing
(2)
large language model
(2)
data mining
(2)
shared task
(1)
hallucination detection
(1)
text analysis
(1)
knowledge base
(1)
authorship attribution
(1)
knowledge base construction
(1)
authorship verification
(1)
semantic search
(1)
procedural text
(1)
table extraction
(1)
scientific literature
(1)
argument mining
(1)
Papers
Overview of the Fifth Workshop on Scholarly Document Processing
ACL 2025
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark
AAAI 2025
Schema-Driven Information Extraction from Heterogeneous Tables
EMNLP 2024
SynKB: Semantic Search for Synthetic Procedures
EMNLP 2022
Accelerating Human Authorship of Information Extraction Rules
COLING 2022
Overview of the Third Workshop on Scholarly Document Processing
COLING 2022
Overview of the Second Workshop on Scholarly Document Processing
NAACL 2021
Argument Mining for Scholarly Document Processing: Taking Stock and Looking Ahead
NAACL 2021
Overview of the First Workshop on Scholarly Document Processing (SDP)
EMNLP 2020
Loss-Sensitive Discriminative Training of Machine Transliteration Models
NAACL 2009
A Sequence Alignment Model Based on the Averaged Perceptron
CONLL 2007
A Sequence Alignment Model Based on the Averaged Perceptron
EMNLP 2007
New Experiments in Distributional Representations of Synonymy
CONLL 2005
Morphology Induction from Term Clusters
CONLL 2005
Toward Unsupervised Whole-Corpus Tagging
COLING 2004
Trained Named Entity Recognition using Distributional Clusters
EMNLP 2004