Hua He

Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks

2015

Modeling sentence similarity is complicated by the ambiguity and variability of linguistic expression. To cope with these challenges, we propose a model for comparing sentences that uses a multiplicity of perspectives. We first model each …

Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement

2016

Textual similarity measurement is a challenging problem, as it requires understanding the semantics of input sentences. Most previous neural network models use coarse-grained sentence modeling, which has difficulty capturing fine-grained word-level information for semantic comparisons. …

Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks

2016

We study answer selection for question answering, in which given a question and a set of candidate answer sentences, the goal is to identify the subset that contains the answer. Unlike previous work which treats …

A Continuously Growing Dataset of Sentential Paraphrases

2017

A major challenge in paraphrase research is the lack of parallel corpora. In this paper, we present a new method to collect large-scale sentential paraphrases from Twitter by linking tweets through shared URLs. The main …