research
∙
11/22/2022
Coreference Resolution through a seq2seq Transition-Based System
Most recent coreference resolution systems use search algorithms over po...
share
research
∙
10/05/2022
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model
Explainable question answering systems should produce not only accurate ...
research
∙
05/14/2020
Named Entity Recognition as Dependency Parsing
Named Entity Recognition (NER) is a fundamental task in Natural Language...
research
∙
05/02/2020
On Faithfulness and Factuality in Abstractive Summarization
It is well known that the standard likelihood training and approximate d...
research
∙
07/29/2019
Neural Mention Detection
Mention detection is an important aspect of the annotation task and inte...
research
∙
09/06/2018
82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models
We present the Uppsala system for the CoNLL 2018 Shared Task on universa...
research
∙
05/21/2018
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings
The rise of neural networks, and particularly recurrent neural networks,...
research
∙
08/29/2017
A Simple LSTM model for Transition-based Dependency Parsing
We present a simple LSTM-based transition-based dependency parser. Our m...
research
∙
07/18/2016
Dependency Language Models for Transition-based Dependency Parsing
In this paper, we present an approach to improve the accuracy of a stron...
research
∙
03/21/2016
