NAACL.2015 - Main

[P] [K] Unsupervised Induction of Semantic Roles within a Reconstruction-Error Minimization Framework

[P] [K] Predicate Argument Alignment using a Global Coherence Model

[P] [K] Improving unsupervised vector-space thematic fit evaluation via role-filler prototype clustering

[P] [K] A Compositional and Interpretable Semantic Space

[P] [K] Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing

[P] [K] An Incremental Algorithm for Transition-based CCG Parsing

[P] [K] Because Syntax Does Matter: Improving Predicate-Argument Structures Parsing with Syntactic Features

[P] [K] A Hybrid Generative/Discriminative Approach To Citation Prediction

[P] [K] Weakly Supervised Slot Tagging with Partially Labeled Sequences from Web Search Click Logs

[P] [K] Not All Character N-grams Are Created Equal: A Study in Authorship Attribution

[P] [K] Effective Use of Word Order for Text Categorization with Convolutional Neural Networks

[P] [K] Transition-Based Syntactic Linearization

[P] [K] Extractive Summarisation Based on Keyword Profile and Language Model

[P] [K] HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space

[P] [K] What’s Cookin’? Interpreting Cooking Videos using Text, Speech and Vision

[P] [K] Combining Language and Vision with a Multimodal Skip-gram Model

[P] [K] Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments

[P] [K] TopicCheck: Interactive Alignment for Assessing Topic Model Stability

[P] [K] Inferring latent attributes of Twitter users with label regularization

[P] [K] A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

[P] [K] How to Make a Frenemy: Multitape FSTs for Portmanteau Generation

[P] [K] Aligning Sentences from Standard Wikipedia to Simple Wikipedia

[P] [K] Inducing Lexical Style Properties for Paraphrase and Genre Differentiation

[P] [K] Entity Linking for Spoken Language

[P] [K] Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering