ACL.2014 - Long Papers

[P] [K] Learning Ensembles of Structured Prediction Rules

[P] [K] Representation Learning for Text-level Discourse Parsing

[P] [K] Text-level Discourse Dependency Parsing

[P] [K] Discovering Latent Structure in Task-Oriented Dialogues

[P] [K] Learning Structured Perceptrons for Coreference Resolution with Latent Antecedents and Non-local Features

[P] [K] Multilingual Models for Compositional Distributed Semantics

[P] [K] Simple Negation Scope Resolution through Deep Parsing: A Semantic Solution to a Semantic Problem

[P] [K] Logical Inference on Dependency-based Compositional Semantics

[P] [K] A practical and linguistically-motivated approach to compositional distributional semantics

[P] [K] Lattice Desegmentation for Statistical Machine Translation

[P] [K] Bilingually-constrained Phrase Embeddings for Machine Translation

[P] [K] Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation

[P] [K] Learning Topic Representation for SMT with Neural Networks

[P] [K] Tagging The Web: Building A Robust Web Tagger with Neural Network

[P] [K] Unsupervised Solution Post Identification from Discussion Forums

[P] [K] Weakly Supervised User Profile Extraction from Twitter

[P] [K] The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter

[P] [K] Inferring User Political Preferences from Streaming Communications

[P] [K] Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees

[P] [K] Sparser, Better, Faster GPU Parsing

[P] [K] Shift-Reduce CCG Parsing with a Dependency Model

[P] [K] Less Grammar, More Features

[P] [K] Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors

[P] [K] Metaphor Detection with Cross-Lingual Model Transfer

[P] [K] Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models