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Andrew Mccallum
Number of Papers:- 82
Number of Citations:- 1094
First ACL Paper:- 1999
Latest ACL Paper:- 2020
Venues:-
BioNLP
ACL
CoNLL
WS
EMNLP
Findings
COLING
NAACL
IJCNLP
*SEMEVAL
EACL
TextGraphs
HLT
Co-Authors:-
Aaron Traylor
Abhishek Singhal
Achille Fokoue Nkoutche
Adrian Benton
Ahsaas Bajaj
Similar Authors:-
Miyoung Ko
Hyunjae Kim
Seongjun Yun
Jaewoo Kang
Jinhyuk Lee
2020
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1999
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
COLING
Trapit Bansal |
Rishikesh Jha |
Andrew McCallum |
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders
EMNLP
Andrew Drozdov |
Subendhu Rongali |
Yi-Pei Chen |
Tim O’Gorman |
Mohit Iyyer |
Andrew McCallum |
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion
EMNLP
Findings
Rajarshi Das |
Ameya Godbole |
Nicholas Monath |
Manzil Zaheer |
Andrew McCallum |
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text
EMNLP
Findings
Daivik Swarup |
Ahsaas Bajaj |
Sheshera Mysore |
Tim O’Gorman |
Rajarshi Das |
Andrew McCallum |
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks
EMNLP
Trapit Bansal |
Rishikesh Jha |
Tsendsuren Munkhdalai |
Andrew McCallum |
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning
EMNLP
Michael Boratko |
Xiang Li |
Tim O’Gorman |
Rajarshi Das |
Dan Le |
Andrew McCallum |
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders
EMNLP
Andrew Drozdov |
Patrick Verga |
Yi-Pei Chen |
Mohit Iyyer |
Andrew McCallum |
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference
EMNLP
WS
Rajarshi Das |
Ameya Godbole |
Manzil Zaheer |
Shehzaad Dhuliawala |
Andrew McCallum |
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
EMNLP
WS
Rajarshi Das |
Ameya Godbole |
Dilip Kavarthapu |
Zhiyu Gong |
Abhishek Singhal |
Mo Yu |
Xiaoxiao Guo |
Tian Gao |
Hamed Zamani |
Manzil Zaheer |
Andrew McCallum |
Roll Call Vote Prediction with Knowledge Augmented Models
CoNLL
Pallavi Patil |
Kriti Myer |
Ronak Zala |
Arpit Singh |
Sheshera Mysore |
Andrew McCallum |
Adrian Benton |
Amanda Stent |
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference
NAACL
Dongxu Zhang |
Subhabrata Mukherjee |
Colin Lockard |
Luna Dong |
Andrew McCallum |
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders
NAACL
Andrew Drozdov |
Patrick Verga |
Mohit Yadav |
Mohit Iyyer |
Andrew McCallum |
Energy and Policy Considerations for Deep Learning in NLP
ACL
Emma Strubell |
Ananya Ganesh |
Andrew McCallum |
A2N: Attending to Neighbors for Knowledge Graph Inference
ACL
Trapit Bansal |
Da-Cheng Juan |
Sujith Ravi |
Andrew McCallum |
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
ACL
Derek Tam |
Nicholas Monath |
Ari Kobren |
Aaron Traylor |
Rajarshi Das |
Andrew McCallum |
Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications
NAACL
WS
Vivi Nastase |
Benjamin Roth |
Laura Dietz |
Andrew McCallum |
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures
ACL
WS
Sheshera Mysore |
Zachary Jensen |
Edward Kim |
Kevin Huang |
Haw-Shiuan Chang |
Emma Strubell |
Jeffrey Flanigan |
Andrew McCallum |
Elsa Olivetti |
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets
EMNLP
Nathan Greenberg |
Trapit Bansal |
Patrick Verga |
Andrew McCallum |
Linguistically-Informed Self-Attention for Semantic Role Labeling
EMNLP
Emma Strubell |
Patrick Verga |
Daniel Andor |
David Weiss |
Andrew McCallum |
An Interface for Annotating Science Questions
EMNLP
Michael Boratko |
Harshit Padigela |
Divyendra Mikkilineni |
Pritish Yuvraj |
Rajarshi Das |
Andrew McCallum |
Maria Chang |
Achille Fokoue |
Pavan Kapanipathi |
Nicholas Mattei |
Ryan Musa |
Kartik Talamadupula |
Michael Witbrock |
Embedded-State Latent Conditional Random Fields for Sequence Labeling
CoNLL
Dung Thai |
Sree Harsha Ramesh |
Shikhar Murty |
Luke Vilnis |
Andrew McCallum |
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection
NAACL
Haw-Shiuan Chang |
Ziyun Wang |
Luke Vilnis |
Andrew McCallum |
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
NAACL
Patrick Verga |
Emma Strubell |
Andrew McCallum |
Training Structured Prediction Energy Networks with Indirect Supervision
NAACL
Amirmohammad Rooshenas |
Aishwarya Kamath |
Andrew McCallum |
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking
ACL
Shikhar Murty |
Patrick Verga |
Luke Vilnis |
Irena Radovanovic |
Andrew McCallum |
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
ACL
Luke Vilnis |
Xiang Li |
Shikhar Murty |
Andrew McCallum |
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
NAACL
TextGraphs
WS
Haw-Shiuan Chang |
Amol Agrawal |
Ananya Ganesh |
Anirudha Desai |
Vinayak Mathur |
Alfred Hough |
Andrew McCallum |
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
ACL
WS
Michael Boratko |
Harshit Padigela |
Divyendra Mikkilineni |
Pritish Yuvraj |
Rajarshi Das |
Andrew McCallum |
Maria Chang |
Achille Fokoue-Nkoutche |
Pavan Kapanipathi |
Nicholas Mattei |
Ryan Musa |
Kartik Talamadupula |
Michael Witbrock |
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL?
ACL
WS
Emma Strubell |
Andrew McCallum |
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
EMNLP
Emma Strubell |
Patrick Verga |
David Belanger |
Andrew McCallum |
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
EACL
Rajarshi Das |
Arvind Neelakantan |
David Belanger |
Andrew McCallum |
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
EACL
Patrick Verga |
Arvind Neelakantan |
Andrew McCallum |
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks
ACL
Rajarshi Das |
Manzil Zaheer |
Siva Reddy |
Andrew McCallum |
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
*SEMEVAL
Isabelle Augenstein |
Mrinal Das |
Sebastian Riedel |
Lakshmi Vikraman |
Andrew McCallum |
Dependency Parsing with Dilated Iterated Graph CNNs
WS
Emma Strubell |
Andrew McCallum |
Multilingual Relation Extraction using Compositional Universal Schema
NAACL
Patrick Verga |
David Belanger |
Emma Strubell |
Benjamin Roth |
Andrew McCallum |
Incorporating Selectional Preferences in Multi-hop Relation Extraction
WS
Rajarshi Das |
Arvind Neelakantan |
David Belanger |
Andrew McCallum |
Row-less Universal Schema
WS
Patrick Verga |
Andrew McCallum |
Call for Discussion: Building a New Standard Dataset for Relation Extraction Tasks
WS
Teresa Martin |
Fiete Botschen |
Ajay Nagesh |
Andrew McCallum |
Learning Dynamic Feature Selection for Fast Sequential Prediction
ACL
IJCNLP
Emma Strubell |
Luke Vilnis |
Kate Silverstein |
Andrew McCallum |
Compositional Vector Space Models for Knowledge Base Completion
ACL
IJCNLP
Arvind Neelakantan |
Benjamin Roth |
Andrew McCallum |
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
EMNLP
Arvind Neelakantan |
Jeevan Shankar |
Alexandre Passos |
Andrew McCallum |
Learning Soft Linear Constraints with Application to Citation Field Extraction
ACL
Sam Anzaroot |
Alexandre Passos |
David Belanger |
Andrew McCallum |
Lexicon Infused Phrase Embeddings for Named Entity Resolution
CoNLL
WS
Alexandre Passos |
Vineet Kumar |
Andrew McCallum |
Relation Extraction with Matrix Factorization and Universal Schemas
NAACL
Sebastian Riedel |
Limin Yao |
Andrew McCallum |
Benjamin M. Marlin |
Transition-based Dependency Parsing with Selectional Branching
ACL
Jinho D. Choi |
Andrew McCallum |
Dynamic Knowledge-Base Alignment for Coreference Resolution
CoNLL
WS
Jiaping Zheng |
Luke Vilnis |
Sameer Singh |
Jinho D. Choi |
Andrew McCallum |
Parse, Price and Cut—Delayed Column and Row Generation for Graph Based Parsers
CoNLL
EMNLP
Sebastian Riedel |
David Smith |
Andrew McCallum |
Monte Carlo MCMC: Efficient Inference by Approximate Sampling
CoNLL
EMNLP
Sameer Singh |
Michael Wick |
Andrew McCallum |
A Discriminative Hierarchical Model for Fast Coreference at Large Scale
ACL
Michael Wick |
Sameer Singh |
Andrew McCallum |
Unsupervised Relation Discovery with Sense Disambiguation
ACL
Limin Yao |
Sebastian Riedel |
Andrew McCallum |
Human-Machine Cooperation: Supporting User Corrections to Automatically Constructed KBs
WS
Michael Wick |
Karl Schultz |
Andrew McCallum |
Monte Carlo MCMC: Efficient Inference by Sampling Factors
WS
Sameer Singh |
Michael Wick |
Andrew McCallum |
Probabilistic Databases of Universal Schema
WS
Limin Yao |
Sebastian Riedel |
Andrew McCallum |
Fast and Robust Joint Models for Biomedical Event Extraction
EMNLP
Sebastian Riedel |
Andrew McCallum |
Optimizing Semantic Coherence in Topic Models
EMNLP
David Mimno |
Hanna Wallach |
Edmund Talley |
Miriam Leenders |
Andrew McCallum |
Structured Relation Discovery using Generative Models
EMNLP
Limin Yao |
Aria Haghighi |
Sebastian Riedel |
Andrew McCallum |
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models
ACL
Sameer Singh |
Amarnag Subramanya |
Fernando Pereira |
Andrew McCallum |
Robust Biomedical Event Extraction with Dual Decomposition and Minimal Domain Adaptation
BioNLP
WS
Sebastian Riedel |
Andrew McCallum |
Model Combination for Event Extraction in BioNLP 2011
BioNLP
WS
Sebastian Riedel |
David McClosky |
Mihai Surdeanu |
Andrew McCallum |
Christopher D. Manning |
Collective Cross-Document Relation Extraction Without Labelled Data
EMNLP
Limin Yao |
Sebastian Riedel |
Andrew McCallum |
Constraint-Driven Rank-Based Learning for Information Extraction
NAACL
Sameer Singh |
Limin Yao |
Sebastian Riedel |
Andrew McCallum |
Active Learning by Labeling Features
EMNLP
Gregory Druck |
Burr Settles |
Andrew McCallum |
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
EMNLP
Kedar Bellare |
Andrew McCallum |
Polylingual Topic Models
EMNLP
David Mimno |
Hanna M. Wallach |
Jason Naradowsky |
David A. Smith |
Andrew McCallum |
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
ACL
IJCNLP
Gregory Druck |
Gideon Mann |
Andrew McCallum |
Joint Inference for Natural Language Processing
CoNLL
WS
Andrew McCallum |
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
ACL
Gideon S. Mann |
Andrew McCallum |
First-Order Probabilistic Models for Coreference Resolution
NAACL
Aron Culotta |
Michael Wick |
Andrew McCallum |
Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields
NAACL
Gideon Mann |
Andrew McCallum |
Reducing Weight Undertraining in Structured Discriminative Learning
HLT
NAACL
Charles Sutton |
Michael Sindelar |
Andrew McCallum |
Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text
HLT
NAACL
Aron Culotta |
Andrew McCallum |
Jonathan Betz |
Learning Field Compatibilities to Extract Database Records from Unstructured Text
EMNLP
WS
Michael Wick |
Aron Culotta |
Andrew McCallum |
Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing
WS
Ryan McDonald |
Charles Sutton |
Hal Daumé III |
Andrew McCallum |
Fernando Pereira |
Jeff Bilmes |
Practical Markov Logic Containing First-Order Quantifiers with Application to Identity Uncertainty
WS
Aron Culotta |
Andrew McCallum |
Composition of Conditional Random Fields for Transfer Learning
EMNLP
HLT
Charles Sutton |
Andrew McCallum |
Joint Parsing and Semantic Role Labeling
CoNLL
WS
Charles Sutton |
Andrew McCallum |
Chinese Segmentation and New Word Detection using Conditional Random Fields
COLING
Fuchun Peng |
Fangfang Feng |
Andrew McCallum |
Accurate Information Extraction from Research Papers using Conditional Random Fields
HLT
NAACL
Fuchun Peng |
Andrew McCallum |
Confidence Estimation for Information Extraction
HLT
NAACL
Aron Culotta |
Andrew McCallum |
Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons
CoNLL
WS
Andrew McCallum |
Wei Li |
Text Classification by Bootstrapping with Keywords, EM and Shrinkage
WS
Andrew McCallum |
Kamal Nigam |
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