We address the task of computing vector space representations for the meaning of word occurrences, which can vary widely according to context. This task is a crucial step towards a robust, vector-based compositional account of sentence meaning. We argue that existing models for this task do not take syntactic structure sufficiently into account. We present a novel structured vector space model ...

We extend the work of Wieting et al. (2017), back-translating a large parallel corpus to produce a dataset of more than 51 million English-English sentential paraphrase pairs in a dataset we call PARANMT-50M. We find this corpus to be cover many domains and styles of text, in addition to being rich in paraphrases with different sentence structure, and we release it to the community. and release...

Previous work on paraphrase extraction using parallel or comparable corpora has generally not considered the documents’ discourse structure as a useful information source. We propose a novel method for collecting paraphrases relying on the sequential event order in the discourse, using multiple sequence alignment with a semantic similarity measure. We show that adding discourse information boos...

This paper looks at representing paraphrases using the formalism of Synchronous TAGs; it looks particularly at comparisons with machine translation and the modifications it is necessary to make to Synchronous TAGs for paraphrasing. A more detailed version is in Dras (1997a). 1 I n t r o d u c t i o n The context of the paraphrasing in this work is that of Reluctant Paraphrase (Dras, 1997b). In ...

The article clarifies the semantic-syntactic, functional-stylistic, cognitive-onomasiological, linguistic-cultural and communicative-pragmatic features of paraphrases in literary journalism V. Yavorivskyi latest period creativity. source research is four collections journalistic works by Yavorvskyi «What kind people are we?..». It has been proven that writer primarily chooses his own names as s...

This paper looks at representing paraphrases using the formalism of Synchronous TAGs; it looks particularly at comparisons with machine translation and the modifications it is necessary to make to Synchronous TAGs for paraphrasing. A more detailed version is in Dras (1997a). 1 I n t r o d u c t i o n The context of the paraphrasing in this work is that of Reluctant Paraphrase (Dras, 1997b). In ...

Semantic parsing maps sentences to formal meaning representations, enabling question answering, natural language interfaces, and many other applications. However, there is no agreement on what the meaning representation should be, and constructing a sufficiently large corpus of sentence-meaning pairs for learning is extremely challenging. In this paper, we argue that both of these problems can ...

Abstract Referring expression comprehension aims to localize objects identified by natural language descriptions. This is a challenging task as it requires understanding of both visual and domains. One nature that each object can be described synonymous sentences with paraphrases, such varieties in languages have critical impact on learning model. While prior work usually treats sentence attend...

While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present an unsupervised learning algorithm for identification of paraphrases from a corpus of multiple English translations of the same source text. Our approach yields phrasal and single word lexical paraphrases as well as sy...