Convolutional Neural Networks (CNNs) have recently achieved remarkably strong
performance on the practically important task of sentence classification (kim 2014 …

Semantic matching is of central importance to many natural language tasks\cite
{bordes2014semantic, RetrievalQA}. A successful matching algorithm needs to adequately …

Paraphrase detection is the task of examining two sentences and determining whether they
have the same meaning. In order to obtain high accuracy on this task, thorough syntactic …

In this paper we address the problem of modeling compositional meaning for phrases and
sentences using distributional methods. We experiment with several possible combinations …

The task of paraphrasing is inherently familiar to speakers of all languages. Moreover, the
task of automatically generating or extracting semantic equivalences for the various units of …

We propose to re-examine the hypothesis that automated metrics developed for MT
evaluation can prove useful for paraphrase identification in light of the significant work on …

This paper introduces the Bank Question (BQ) corpus, a Chinese corpus for sentence
semantic equivalence identification (SSEI). The BQ corpus contains 120,000 question pairs …

Paraphrase detection is important for a number of applications, including plagiarism
detection, authorship attribution, question answering, text summarization, text mining in …

This paper is concerned with paraphrase detection, ie, identifying sentences that are
semantically identical. The ability to detect similar sentences written in natural language is …

In this shared task, we present evaluations on two related tasks Paraphrase Identification
(PI) and Semantic Textual Similarity (SS) systems for the Twitter data. Given a pair of …