Ajay Nagesh
15 papers · 2012–2024 · 4 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
Jump to papers ↓+5 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver
👥
Mega-Team · Squad
🏆
Keyword Champion
(4)
📈
Trend Setter
💎
Century Club · Bronze
🗃️
Keyword Collector
(55)
Venues
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(7)
Learning Types · Machine Learning
(7)
Applications
(6)
Artificial Intelligence
(5)
Core AI
(4)
Core Methods
(4)
Speech & Audio
(2)
Recognition
(2)
Deep Learning
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Resources & Methods
(1)
Keywords
machine translation
(4)
named entity classification
(4)
semi-supervised learning
(3)
representation learning
(2)
information extraction
(2)
mean teacher
(2)
neural machine translation
(2)
probabilistic modeling
(1)
few-shot learning
(1)
active learning
(1)
multilingual translation
(1)
pre-trained model
(1)
parallel corpus
(1)
automatic speech recognition
(1)
chain-of-thought reasoning
(1)
language model
(1)
noise reduction
(1)
label noise
(1)
knowledge base
(1)
relation extraction
(1)
Papers
Leveraging LLMs for Dialogue Quality Measurement
NAACL 2024
Findings of the 2021 Conference on Machine Translation (WMT21)
EMNLP 2021
MeetDot: Videoconferencing with Live Translation Captions
EMNLP 2021
FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN
ACL 2020
Parallel Corpus Filtering via Pre-trained Language Models
ACL 2020
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models
NAACL 2019
Lightly-supervised Representation Learning with Global Interpretability
NAACL 2019
Semi-Supervised Teacher-Student Architecture for Relation Extraction
NAACL 2019
An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
COLING 2018
Keep Your Bearings: Lightly-Supervised Information Extraction with Ladder Networks That Avoids Semantic Drift
NAACL 2018
Visual Supervision in Bootstrapped Information Extraction
EMNLP 2018
Exploring Relational Features and Learning under Distant Supervision for Information Extraction Tasks
NAACL 2015
Optimizing Multivariate Performance Measures for Learning Relation Extraction Models
NAACL 2015
Noisy Or-based model for Relation Extraction using Distant Supervision
EMNLP 2014
Towards Efficient Named-Entity Rule Induction for Customizability
EMNLP 2012