Web Documents

. 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 …...

We present a new approach to relation ex- traction that requires only a handful of train- ing examples. Given a few pairs of named entities known to exhibit or not …...

This paper presents a method for mining potential troubles or obstacles related to the use of a given object. Some exam- ple instances of this relation are ⟨medicine, side effect⟩ …...

This paper presents a new method of devel- oping a large-scale hyponymy relation data- base by combining Wikipedia and other Web documents. We attach new words to the hy- ponymy …...

We propose an automatic method of extracting paraphrases from definition sentences, which are also automatically acquired from the Web. We observe that a huge number of concepts are defined in …...

Usually, in the Question Answering do- main, for a question in natural language, precise answers to the question are ex- tracted from documents according only to the context of the …...

The role of Web search queries has been demonstrated in the extraction of attributes of instances and classes, or of sets of re- lated instances and their class labels. This …...

AbstractNatural language processing techniques have demonstrated promising results in keyphrase generation. However, one of the major challenges in neural keyphrase generation is processing long documents using deep neural networks. Generally, …...