Ling, Wang

Latent Predictor Networks for Code Generation

2016 · arXiv (Cornell University)

Many language generation tasks require the production of text conditioned on both structured and unstructured inputs. We present a novel neural network architecture which generates an output sequence conditioned on an arbitrary number of input …

Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces

2016 · arXiv (Cornell University)

Recent approaches for sentiment lexicon induction have capitalized on pre-trained word embeddings that capture latent semantic properties. However, embeddings obtained by optimizing performance of a given task (e.g. predicting contextual words) are sub-optimal for other …

Character-based Neural Machine Translation

2015 · arXiv (Cornell University)

We introduce a neural machine translation model that views the input and output sentences as sequences of characters rather than words. Since word-level information provides a crucial source of bias, our input model composes representations …

Finding Function in Form: Compositional Character Models for Open Vocabulary Word Representation

2015 · arXiv (Cornell University)

Wang Ling, Chris Dyer, Alan W Black, Isabel Trancoso, Ramón Fermandez, Silvio Amir, Luís Marujo, Tiago Luís. Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. 2015.

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

2015 · RECERCAT (Consorci de Serveis Universitaris de Catalunya)

Chris Dyer, Miguel Ballesteros, Wang Ling, Austin Matthews, Noah A. Smith. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: …