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Coreference resolution plays a significant role in natural language processing systems. It is the method of figuring out all the noun phrases that refer back to the identical real world entity. Several researches have been done in noun phrase coreference resolution by using certain machine learning techniques. Our paper proposes a machine learning approach using support vector machines (SVM) towards...
Paraphrase Detection is the task of examining if two sentences convey the same meaning or not. Here, in this paper, we have chosen a sentence embedding by unsupervised RAE vectors for capturing syntactic as well as semantic information. The RAEs learn features from the nodes of the parse tree and chunk information along with unsupervised word embedding. These learnt features are used for measuring...
The struggle of technology to understand natural language has been one of the greatest hurdles of humankind. Various techniques and algorithms have contributed to significant advancements in the field of NLP. One of the most primary challenges that NLP faces is being able to determine the meaning and essence of a sentence which may have multiple variations of syntax and semantics. Crossword solving...
Question Answering (QA) is the method of automatically answering a question asked by human in natural language using either a pre-structured database or a collection of documents. It is a rising new information service following the popularization of search engines. In this paper we introduce a graph-based QA system for reading comprehension tests that pick out the sentence in the passage that best...
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