Discriminative Training and Spanning Tree Algorithms for Dependency Parsing

Evaluation of Dependency Parsers on Unbounded Dependencies

Learning to Classify the Scope of Negation for Improved Sentiment Analysis

Distributed Training Strategies for the Structured Perceptron

The Viability of Web-derived Polarity Lexicons

Dependency Parsing

Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models

Sentiment Summarization: Evaluating and Learning User Preferences

Contrastive Summarization: An Experiment with Consumer Reviews

A Joint Model of Text and Aspect Ratings for Sentiment Summarization

Integrating Graph-based and Transition-based Dependency Parsers

Building a Sentiment Summarizer for Local Service Reviews

Modeling Online Reviews with Multi-Grain Topic Models

The CoNLL 2007 Shared Task on Dependency Parsing

Characterizing the Errors of Data-Driven Dependency Parsing Models

On the Complexity of Non-Projective Data-Driven Dependency Parsing

Structured Models for Fine-to-Coarse Sentiment Analysis

A Study of Global Inference Algorithms in Multi-Document Summarization

Automated recognition of malignancy mentions in biomedical literature

Domain Adaptation with Structural Correspondence Learning

Multilingual Dependency Analysis with a Two-Stage Discriminative Parser

An automated procedure to identify biomedical articles that contain cancer-associated gene variants

Online Learning of Approximate Dependency Parsing Algorithms

Discriminative Sentence Compression with Soft Syntactic Constraints

Non-Projective Dependency Parsing using Spanning Tree Algorithms

Flexible Text Segmentation with Structured Multilabel Classification

Simple Algorithms for Complex Relation Extraction with Applications to Biomedical IE

Online Large-Margin Training of Dependency Parsers

Identifying and Extracting Malignancy Types in Cancer Literature

Automatically annotating documents with normalized gene lists

Identifying gene and protein mentions in text using conditional random fields

An entity tagger for recognizing acquired genomic variations in cancer literature

Integrated Annotation for Biomedical Information Extraction

New Large Margin Algorithms for Structure Prediction

Scalable Large Margin Online Learning Algorithms for Structured Classification

Exploiting Sequent Structure in Membership Algorithms for the Lambek Calculus

Flexible Web Document Analysis for Delivery to Narrow-Bandwidth Devices

Spanning Tree Methods for Discriminative Training of Dependency Parsers

Extracting Relations from Unstructured Text

Automatically Annotating Documents with Normalized Gene Lists

Identifying Gene and Protein Mentions in Text Using Conditional Random Fields

A Distributed Social MUD to Enhance Reliability and Scalability