We present a novel approach to metaphor interpretation and a system that produces literal paraphrases for metaphorical expressions. Such a representation is directly transferable to other applications that can benefit from a metaphor processing component. Our method is distinguished from the previous work in that it does not rely on any hand-crafted knowledge about metaphor, but in contrast emp...

User attribute prediction from social media text has proven successful and useful for downstream tasks. In previous studies, differences in user trait language use have been limited primarily to the presence or absence of words that indicate topical preferences. In this study, we aim to find linguistic style distinctions across three different user attributes: gender, age and occupational class...

This thesis proposal outlines the use of unsupervised data-driven methods for paraphrasing tasks. We motivate the development of knowledge-free methods at the guiding use case of multi-document summarization, which requires a domain-adaptable system for both the detection and generation of sentential paraphrases. First, we define a number of guiding research questions that will be addressed in ...

This article aims to propose a practical model for intra-lingual translation or paraphrase in another term. Paraphrase is restatement of text, rewording something written spoken, especially achieve greater clarity. approach could help troubled translator who having issues translating complex text into receptor language by assessing the source and reconstructing contents simpler semantic structu...

We describe a mechanism for the generation of lexical paraphrases of queries posed to an Internet resource. These paraphrases are generated using WordNet and part-of-speech information to propose synonyms for the content words in the queries. Statistical information, obtained from a corpus, is then used to rank the paraphrases. We evaluated our mechanism using 404 queries whose answers reside i...

Previous w o r k has emphasized the need ~+or p a r a t ] h r a s o s a s m e a n s oF e n s u r i n 0 a ffeedbaok with a system. In this paper, we diS~LlSS )TDW n paraphrase may he u s e d as a hetJuistilz devit~o ,. viz. as a hint, We desuFibe an experimental instruction system J.*] mathematics incoFporetins this, Featut-e. The system accepts a restricted Glass of f algebraic storH problems, ...

This paper proposes a novel method to resolve the coverage problem of SMT system. The method generates paraphrases for source-side sentences of the bilingual parallel data, which are then paired with the target-side sentences to generate new parallel data. Within a statistical paraphrase generation framework, we employ an object function, named Sentence Novelty, to select paraphrases which havi...

In this work, we present a scenario where contextual targeted paraphrasing of sub-sentential phrases is performed automatically to support the task of text revision. Candidate paraphrases are obtained from a preexisting repertoire and validated in the context of the original sentence using information derived from the Web. We report on experiments on French, where the original sentences to be r...

Recognizing and generating paraphrases is an important component in many natural language processing applications. A wellestablished technique for automatically extracting paraphrases leverages bilingual corpora to find meaning-equivalent phrases in a single language by “pivoting” over a shared translation in another language. In this paper we revisit bilingual pivoting in the context of neural...

We add an interpretable semantics to the paraphrase database (PPDB). To date, the relationship between the phrase pairs in the database has been weakly defined as approximately equivalent. We show that in fact these pairs represent a variety of relations, including directed entailment (little girl/girl) and exclusion (nobody/someone). We automatically assign semantic entailment relations to ent...