Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical paraphrase generation (SPG), which can (1) achieve various applications based on a uniform statistical model, and (2) naturally combine multiple resources to enhance the PG performance. In our experiments, we use the prop...

This paper presents a system for automatically generating a set of plausible paraphrases for a given noun compound and rank them in decreasing order of their usage represented by the confidence value provided by the human annotators. Our system implements a corpusdriven probabilistic co-occurrence based model for predicting the paraphrases, that uses a seed list of paraphrases extracted from co...

ayatollah beheshti assumes freedom to be the essence of human personality, believing that man has the right to choose, and the right to make and influence on his own life, environment and political system. people also have the right to vote, and to criticize authorities, and the possibility to react towards the undesireable. the authorities, too, at any level, have to be responsible to the people.

One of the difficulties in Natural Language Processing is the fact that there are many way to express the same thing or event. These expressions are called “Paraphrases”. Paraphrase is important in applications such as IR, QA and IE, and one of the difficulties in paraphrase research is acquiring the requisite paraphrase knowledge. In this paper, we describe an unsupervised method to discover p...

Question paraphrasing is critical in many Natural Language Processing (NLP) applications, especially for question reformulation in question answering (QA). However, choosing an appropriate data source and developing effective methods are challenging tasks. In this paper, we propose a method that exploits Encarta logs to automatically identify question paraphrases and extract templates. Question...

This paper presents a lightweight method for unsupervised extraction of paraphrases from arbitrary textual Web documents. The method differs from previous approaches to paraphrase acquisition in that 1) it removes the assumptions on the quality of the input data, by using inherently noisy, unreliable Web documents rather than clean, trustworthy, properly formatted documents; and 2) it does not ...