Timeline generation is a summarisation task which transforms a narrative, roughly chronological input text into a set of timestamped summary sentences, each expressing an atomic h...
We propose a cross-lingual framework for learning coreference resolvers for resource-poor target languages, given a resolver in a source language. Our method uses word-aligned bit...
A defining symptom of autism spectrum disorder (ASD) is the presence of restricted and repetitive activities and interests, which can surface in language as a perseverative focus...
Masoud Rouhizadeh, Emily Prud'hommeaux, Jan P. H. ...
In Statistical Machine Translation, some complex features are still difficult to integrate during decoding and usually used through the reranking of the k-best hypotheses produce...
Answering natural language questions over a knowledge base is an important and challenging task. Most of existing systems typically rely on hand-crafted features and rules to cond...
In this paper, we demonstrate a system implementation of a framework for computer assisted pronunciation training for second language learner (L2). This framework supports an iter...
The path ranking algorithm (PRA) has been recently proposed to address relational classification and retrieval tasks at large scale. We describe Cor-PRA, an enhanced system that ...
This paper presents QUEST++ , an open source tool for quality estimation which can predict quality for texts at word, sentence and document level. It also provides pipelined proce...
We propose a nonparametric Bayesian model for joint unsupervised word segmentation and part-of-speech tagging from raw strings. Extending a previous model for word segmentation, o...
Aspect extraction and sentiment analysis of reviews are both important tasks in opinion mining. We propose a novel sentiment and aspect extraction model based on Restricted Boltzm...
Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao 0001, Ger...