343 citations · 894 across the 51 of their papers we have counts for
11 papers · 1 filter
Discourse-Aware Rumour Stance Classification in Social Media Using Sequential Classifiers
Arkaitz Zubiaga, Elena Kochkina, Maria Liakata +5
Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becomi…
End-to-end Network for Twitter Geolocation Prediction and Hashing
Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran +1
We propose an end-to-end neural network to predict the geolocation of a tweet. The network takes as input a number of raw Twitter metadata such as the tweet message and associated…
Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields
Fei Liu, Timothy Baldwin, Trevor Cohn
Despite successful applications across a broad range of NLP tasks, conditional random fields ("CRFs"), in particular the linear-chain variant, are only able to model local features…
Continuous Representation of Location for Geolocation and Lexical Dialectology using Mixture Density Networks
Afshin Rahimi, Timothy Baldwin, Trevor Cohn
We propose a method for embedding two-dimensional locations in a continuous vector space using a neural network-based model incorporating mixtures of Gaussian distributions, presen…
Learning how to Active Learn: A Deep Reinforcement Learning Approach
Meng Fang, Yuan Li, Trevor Cohn
Active learning aims to select a small subset of data for annotation such that a classifier learned on the data is highly accurate. This is usually done using heuristic selection m…
Topically Driven Neural Language Model
Jey Han Lau, Timothy Baldwin, Trevor Cohn
Language models are typically applied at the sentence level, without access to the broader document context. We present a neural language model that incorporates document context i…
Model Transfer for Tagging Low-resource Languages using a Bilingual Dictionary
Meng Fang, Trevor Cohn
Cross-lingual model transfer is a compelling and popular method for predicting annotations in a low-resource language, whereby parallel corpora provide a bridge to a high-resource…
A Neural Model for User Geolocation and Lexical Dialectology
Afshin Rahimi, Trevor Cohn, Timothy Baldwin
We propose a simple yet effective text- based user geolocation model based on a neural network with one hidden layer, which achieves state of the art performance over three Twitter…
Context-Aware Prediction of Derivational Word-forms
Ekaterina Vylomova, Ryan Cotterell, Timothy Baldwin +1
Derivational morphology is a fundamental and complex characteristic of language. In this paper we propose the new task of predicting the derivational form of a given base-form lemm…
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg +22
We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits l…
Towards Decoding as Continuous Optimization in Neural Machine Translation
Cong Duy Vu Hoang, Gholamreza Haffari, Trevor Cohn
We propose a novel decoding approach for neural machine translation (NMT) based on continuous optimisation. We convert decoding - basically a discrete optimization problem - into a…