Fernando Pereira

34 papers · 2003–2021 · 10 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (7) 🏆 Keyword Champion (2) 🌱 Topic Pioneer 🧬 Topic Evolution 🚀 Conference Pioneer 🗃️ Keyword Collector (80) 💎 Century Club (34) ⚡ Prolific Year (7) 📈 Trend Setter 🔥 Unstoppable (8)

Conferences

ACL (7) EMNLP (7) NIPS (7) CONLL (4) JMLR (3) NAACL (2) AISTATS (1) COLING (1) CVPR (1) EACL (1)

Top co-authors

Koby Crammer (7) Ryan Mcdonald (7) Mark Dredze (7) John Blitzer (6) Partha Pratim Talukdar (5) Amarnag Subramanya (5) Kuzman Ganchev (4) João Graça (3) William W. Cohen (3) Alex Kulesza (3)

Keywords

online learning (3) confidence-weighted learning (3) convex optimization (2) gaussian distribution (2) learning bound (2) empirical risk minimization (2) linear classifier (2) domain adaptation (2) approximate inference (1) structured prediction (1) dimensionality reduction (1) sparse coding (1) sparse representation (1) perceptron (1) visual representation (1) image classification (1) unsupervised tagging (1) face recognition (1) transfer learning (1) question answering (1)

Papers

Multi-Perspective LSTM for Joint Visual Representation Learning CVPR 2021 Faithful Embeddings for Knowledge Base Queries NIPS 2020 Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World NAACL 2018 Collective Entity Resolution with Multi-Focal Attention ACL 2016 Confidence-Weighted Linear Classification for Text Categorization JMLR 2012 Reading The Web with Learned Syntactic-Semantic Inference Rules CONLL 2012 Reading The Web with Learned Syntactic-Semantic Inference Rules EMNLP 2012 Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models ACL 2011 Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models EMNLP 2010 Exploiting Feature Covariance in High-Dimensional Online Learning AISTATS 2010 Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition ACL 2010 Sparsity in Dependency Grammar Induction ACL 2010 Group Sparse Coding NIPS 2009 Posterior vs Parameter Sparsity in Latent Variable Models NIPS 2009 Exact Convex Confidence-Weighted Learning NIPS 2008 Weakly-Supervised Acquisition of Labeled Class Instances using Graph Random Walks EMNLP 2008 Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis COLING 2008 Frustratingly Hard Domain Adaptation for Dependency Parsing CONLL 2007 Frustratingly Hard Domain Adaptation for Dependency Parsing EMNLP 2007 The Need for Open Source Software in Machine Learning JMLR 2007 Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification ACL 2007 Euclidean Embedding of Co-occurrence Data JMLR 2007 Structured Learning with Approximate Inference NIPS 2007 Learning Bounds for Domain Adaptation NIPS 2007 Multilingual Dependency Analysis with a Two-Stage Discriminative Parser CONLL 2006 A Context Pattern Induction Method for Named Entity Extraction CONLL 2006 Analysis of Representations for Domain Adaptation NIPS 2006 Online Learning of Approximate Dependency Parsing Algorithms EACL 2006 Domain Adaptation with Structural Correspondence Learning EMNLP 2006 Flexible Text Segmentation with Structured Multilabel Classification EMNLP 2005 Non-Projective Dependency Parsing using Spanning Tree Algorithms EMNLP 2005 Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE ACL 2005 Online Large-Margin Training of Dependency Parsers ACL 2005 Shallow Parsing with Conditional Random Fields NAACL 2003