NLPExplorer

Andrew Mccallum

Number of Papers:- 82

Number of Citations:- 1094

First ACL Paper:- 1999

Latest ACL Paper:- 2020

Venues:-

BioNLP

ACL

CoNLL

EMNLP

Findings

COLING

NAACL

IJCNLP

*SEMEVAL

EACL

TextGraphs

HLT

Co-Authors:-

Aaron Traylor

Abhishek Singhal

Achille Fokoue Nkoutche

Adrian Benton

Ahsaas Bajaj

Similar Authors:-

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

Probabilistic Case-based Reasoning for Open-World Knowledge Graph Completion EMNLP Findings

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text EMNLP Findings

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

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders EMNLP

Chains-of-Reasoning at TextGraphs 2019 Shared Task: Reasoning over Chains of Facts for Explainable Multi-hop Inference EMNLP WS

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering EMNLP WS

Roll Call Vote Prediction with Knowledge Augmented Models CoNLL

OpenKI: Integrating Open Information Extraction and Knowledge Bases with Relation Inference NAACL

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders NAACL

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

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

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

An Interface for Annotating Science Questions EMNLP

Embedded-State Latent Conditional Random Fields for Sequence Labeling CoNLL

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

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

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset ACL WS

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

Dependency Parsing with Dilated Iterated Graph CNNs WS

Emma Strubell | Andrew McCallum |

Multilingual Relation Extraction using Compositional Universal Schema NAACL

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

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

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

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

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

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 |