Sam Wiseman

Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution

2015

Sam Wiseman, Alexander M. Rush, Stuart Shieber, Jason Weston. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). …

Challenges in Data-to-Document Generation

2017

Recent neural models have shown significant progress on the problem of generating short descriptive texts conditioned on a small number of database records. In this work, we suggest a slightly more difficult data-to-text generation task, …

Controllable Paraphrase Generation with a Syntactic Exemplar

2019

Prior work on controllable text generation usually assumes that the controlled attribute can take on one of a small set of values known a priori. In this work, we propose a novel task, where the …

Sequence-to-Sequence Learning as Beam-Search Optimization

2016

Sequence-to-Sequence (seq2seq) modeling has rapidly become an important generalpurpose NLP tool that has proven effective for many text-generation and sequence-labeling tasks. Seq2seq builds on deep neural language modeling and inherits its remarkable accuracy in estimating …

Learning Global Features for Coreference Resolution

2016

There is compelling evidence that coreference prediction would benefit from modeling global information about entity-clusters. Yet, state-of-the-art performance can be achieved with systems treating each mention prediction independently, which we attribute to the inherent difficulty …