← Authors

Andrew McCallum

167 papers · 2003–2026 · 16 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (22) 🌍 Conference Polyglot (16) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (16) 🌟 Keyword Trendsetter Combo (10) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (25) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Grand Slam πŸ”¬ Deep Specialist (28) πŸ† Keyword Champion ❓ The Questioner (2) ⚑ Prolific Year (14) πŸ“ˆ Trend Setter πŸ’Ž Century Club (166) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (54) πŸ”₯ Unstoppable (23)

Conferences

EMNLP (37) ACL (36) NAACL (21) IJCNLP (13) NIPS (13) CONLL (9) ICML (8) EACL (7) ICLR (7) AAAI (4) AISTATS (3) COLING (3) JMLR (2) UAI (2) AUTOML (1) SEMEVAL (1)

Top co-authors

Nicholas Monath (25) Michael Boratko (21) Manzil Zaheer (20) Rajarshi Das (19) Luke Vilnis (11) Haw-Shiuan Chang (11) Mohit Iyyer (11) Patrick Verga (10) Sebastian Riedel (10) Sameer Singh (10)

Research topics

Digital Humanities (1)

Keywords

knowledge graph (14) box embedding (12) knowledge base (11) few-shot learning (8) structured prediction (7) representation learning (7) semantic parsing (6) question answering (6) language model (6) neural network (6) named entity recognition (6) information retrieval (6) constituency parsing (5) hierarchical clustering (5) relation extraction (5) energy network (5) text generation (4) unsupervised learning (4) case-based reasoning (4) coreference resolution (4)

Papers

xLM: A Python Package for Non-Autoregressive Language Models EACL 2026
A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings ICML 2025
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching ICML 2024
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval EMNLP 2024
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks ICML 2024
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation ACL 2024
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders ICLR 2024
Learning Representations for Hierarchies with Minimal Support NIPS 2024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures ACL 2024
Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024
Causal Matching with Text Embeddings: A Case Study in Estimating the Causal Effects of Peer Review Policies ACL 2023
Low-Resource Compositional Semantic Parsing with Concept Pretraining EACL 2023
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond ACL 2023
Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition EMNLP 2023
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling ACL 2023
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals ACL 2023
Improving Dual-Encoder Training through Dynamic Indexes for Negative Mining AISTATS 2023
Machine Reading Comprehension using Case-based Reasoning EMNLP 2023
PaRaDe: Passage Ranking using Demonstrations with LLMs EMNLP 2023
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals ICLR 2023
Longtonotes: OntoNotes with Longer Coreference Chains EACL 2023
Unsupervised Partial Sentence Matching for Cited Text Identification COLING 2022
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings NIPS 2022
Structured Energy Network As a Loss NIPS 2022
Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning AUTOML 2022
An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity AAAI 2022
Sublinear Time Approximation of Text Similarity Matrices AAAI 2022
Entity Linking via Explicit Mention-Mention Coreference Modeling NAACL 2022
DISAPERE: A Dataset for Discourse Structure in Peer Review Discussions NAACL 2022
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs ICML 2022
Interactive Correlation Clustering with Existential Cluster Constraints ICML 2022
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings ICLR 2022
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings ACL 2022
Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions ACL 2022
Event-Event Relation Extraction using Probabilistic Box Embedding ACL 2022
Inducing and Using Alignments for Transition-based AMR Parsing NAACL 2022
You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM EMNLP 2022
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models ACL 2021
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network ACL 2021
Long Document Summarization in a Low Resource Setting using Pretrained Language Models ACL 2021
Scaling Within Document Coreference to Long Texts ACL 2021
Knowledge Informed Semantic Parsing for Conversational Question Answering ACL 2021
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations ACL 2021
Box-To-Box Transformations for Modeling Joint Hierarchies ACL 2021
Improved Latent Tree Induction with Distant Supervision via Span Constraints EMNLP 2021
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs NIPS 2021
Case-based Reasoning for Natural Language Queries over Knowledge Bases EMNLP 2021
Exact and approximate hierarchical clustering using A* UAI 2021
Min/max stability and box distributions UAI 2021
Knowledge Informed Semantic Parsing for Conversational Question Answering IJCNLP 2021
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications AAAI 2021
Changing the Mind of Transformers for Topically-Controllable Language Generation EACL 2021
Box-To-Box Transformations for Modeling Joint Hierarchies IJCNLP 2021
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models IJCNLP 2021
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference IJCNLP 2021
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network IJCNLP 2021
Long Document Summarization in a Low Resource Setting using Pretrained Language Models IJCNLP 2021
Modeling Fine-Grained Entity Types with Box Embeddings ACL 2021
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference ACL 2021
Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering AISTATS 2021
DAG-Structured Clustering by Nearest Neighbors AISTATS 2021
Event and Entity Coreference using Trees to Encode Uncertainty in Joint Decisions EMNLP 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP EMNLP 2021
Clustering-based Inference for Biomedical Entity Linking NAACL 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning NAACL 2021
Scaling Within Document Coreference to Long Texts IJCNLP 2021
Modeling Fine-Grained Entity Types with Box Embeddings IJCNLP 2021
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text EMNLP 2021
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations IJCNLP 2021
Box Embeddings: An open-source library for representation learning using geometric structures EMNLP 2021
Multi-facet Universal Schema EACL 2021
Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision AAAI 2020
Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks EMNLP 2020
Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders EMNLP 2020
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text EMNLP 2020
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning EMNLP 2020
Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion EMNLP 2020
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks COLING 2020
Improving Local Identifiability in Probabilistic Box Embeddings NIPS 2020
Energy and Policy Considerations for Deep Learning in NLP ACL 2019
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks NIPS 2019
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders IJCNLP 2019
A2N: Attending to Neighbors for Knowledge Graph Inference ACL 2019
Optimal Transport-based Alignment of Learned Character Representations for String Similarity ACL 2019
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures ACL 2019
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders NAACL 2019
OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference NAACL 2019
Roll Call Vote Prediction with Knowledge Augmented Models CONLL 2019
Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications NAACL 2019
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders EMNLP 2019
Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference EMNLP 2019
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering EMNLP 2019
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering ICLR 2019
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension ICLR 2019
Smoothing the Geometry of Probabilistic Box Embeddings ICLR 2019
Supervised Hierarchical Clustering with Exponential Linkage ICML 2019
An Interface for Annotating Science Questions EMNLP 2018
Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection NAACL 2018
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction NAACL 2018
Training Structured Prediction Energy Networks with Indirect Supervision NAACL 2018
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings NAACL 2018
Embedded-State Latent Conditional Random Fields for Sequence Labeling CONLL 2018
Compact Representation of Uncertainty in Clustering NIPS 2018
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets EMNLP 2018
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures ACL 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning ICLR 2018
Linguistically-Informed Self-Attention for Semantic Role Labeling EMNLP 2018
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking ACL 2018
Syntax Helps ELMo Understand Semantics: Is Syntax Still Relevant in a Deep Neural Architecture for SRL? ACL 2018
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset ACL 2018
Question Answering on Knowledge Bases and Text using Universal Schema and Memory Networks ACL 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions EMNLP 2017
End-to-End Learning for Structured Prediction Energy Networks ICML 2017
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications SEMEVAL 2017
Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema EACL 2017
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks EACL 2017
Multilingual Relation Extraction using Compositional Universal Schema NAACL 2016
Structured Prediction Energy Networks ICML 2016
Learning Dynamic Feature Selection for Fast Sequential Prediction IJCNLP 2015
Compositional Vector Space Models for Knowledge Base Completion IJCNLP 2015
Compositional Vector Space Models for Knowledge Base Completion ACL 2015
Learning Dynamic Feature Selection for Fast Sequential Prediction ACL 2015
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space EMNLP 2014
Lexicon Infused Phrase Embeddings for Named Entity Resolution CONLL 2014
Learning Soft Linear Constraints with Application to Citation Field Extraction ACL 2014
Transition-based Dependency Parsing with Selectional Branching ACL 2013
Dynamic Knowledge-Base Alignment for Coreference Resolution CONLL 2013
Relation Extraction with Matrix Factorization and Universal Schemas NAACL 2013
Parse, Price and Cutβ€”Delayed Column and Row Generation for Graph Based Parsers CONLL 2012
MAP Inference in Chains using Column Generation NIPS 2012
A Discriminative Hierarchical Model for Fast Coreference at Large Scale ACL 2012
Unsupervised Relation Discovery with Sense Disambiguation ACL 2012
Monte Carlo MCMC: Efficient Inference by Approximate Sampling CONLL 2012
Parse, Price and Cutβ€”Delayed Column and Row Generation for Graph Based Parsers EMNLP 2012
Monte Carlo MCMC: Efficient Inference by Approximate Sampling EMNLP 2012
Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models ACL 2011
Optimizing Semantic Coherence in Topic Models EMNLP 2011
Fast and Robust Joint Models for Biomedical Event Extraction EMNLP 2011
Query-Aware MCMC NIPS 2011
Structured Relation Discovery using Generative Models EMNLP 2011
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data JMLR 2010
Constraint-Driven Rank-Based Learning for Information Extraction NAACL 2010
Collective Cross-Document Relation Extraction Without Labelled Data EMNLP 2010
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NIPS 2009
Polylingual Topic Models EMNLP 2009
Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment EMNLP 2009
Active Learning by Labeling Features EMNLP 2009
Rethinking LDA: Why Priors Matter NIPS 2009
Joint Inference for Natural Language Processing CONLL 2009
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria ACL 2009
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference NIPS 2009
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria IJCNLP 2009
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields ACL 2008
First-Order Probabilistic Models for Coreference Resolution NAACL 2007
Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields NAACL 2007
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data JMLR 2007
Learning Field Compatibilities to Extract Database Records from Unstructured Text EMNLP 2006
Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text NAACL 2006
Reducing Weight Undertraining in Structured Discriminative Learning NAACL 2006
Joint Parsing and Semantic Role Labeling CONLL 2005
Composition of Conditional Random Fields for Transfer Learning EMNLP 2005
Chinese Segmentation and New Word Detection using Conditional Random Fields COLING 2004
Accurate Information Extraction from Research Papers using Conditional Random Fields NAACL 2004
Confidence Estimation for Information Extraction NAACL 2004
Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons CONLL 2003