Paraphrases

Two kinds of paraphrases extracted from a bilingual parallel corpus were analyzed. One is from an adjectival predicate sentence to a non-adjectival one. The other is from a passive form …...

This paper presents a method for detecting compound nominalisations from open data, and providing a semantic intepretation. It uses a statistical model based on confidence intervals over frequencies extracted from …...

This paper describes a method for checking the acceptability of paraphrases in context. We use the Google n-gram data and a CCG parser to certify the paraphrasing grammati- cality and …...

We propose a minimally supervised method for multilingual paraphrase extraction from definition sentences on the Web. Hashimoto et al. (2011) extracted paraphrases from Japanese definition sentences on the Web, as- …...

This paper explores to what extent lemmati- sation, lexical resources, distributional seman- tics and paraphrases can increase the accuracy of supervised models for dialogue manage- ment. The results suggest that …...

Statistical machine translation (SMT) suffers from the accuracy problem that the translation pairs and their feature scores in the transla- tion model can be inaccurate. The accuracy problem is caused …...

Response-based learning allows to adapt a sta- tistical machine translation (SMT) system to an extrinsic task by extracting supervision sig- nals from task-specific feedback. In this pa- per, we elicit …...

We present an approach to the new task of opinion holder and target extraction on opin- ion compounds. Opinion compounds (e.g. user rating or victim support) are noun com- pounds …...

AbstractGenerating from Abstract Meaning Representation (AMR) is an underspecified problem, as many syntactic decisions are not specified by the semantic graph. To explicitly account for this variation, we break down …...