In this paper, we present a practical method of sentence ordering in extractive multi-document summarization tasks of Chinese language. By using Support Vector Machine (SVM), we classify the sentences of a summary into several groups in rough position according to the source documents. Then we adjust the sentence sequence of each group according to the estimation of directional relativity of ad...

Korean has two syntactic constructions expressing negation. Examples of the two types of negation, which I will refer to as “Short Form” and “Long Form,” are given in (2) and (3). Short Form negation involves adding a negative prefix anto the verbal complex. The Short Form negated sentence in (2) differs from the affirmative sentence in (1) only in the underlined morpheme. Long Form negation, s...

Event-related potentials were recorded in 2 experiments while participants read sentences in a word-by-word congruency judgment task. Sentence final words were either congruent, semantically anomalous (Experiments 1 and 2), or neutral (Experiment 2) with respect to sentence context. Half of all final words referred to concrete and half to abstract concepts. A different scalp distribution of the...

This experiment shows that for an English speaker reading aloud, the topic structure of the text affects the amount of lengthening in sentence-final words. The speaker lengthened words less at the end of sentences that were followed by another sentence elaborating on the topic of the first, than at the end of sentences where the subsequent sentence added new information or switched topics. Thes...

Named entity recognition (NER) is one fundamental task in natural language processing, which usually viewed as a sequence labeling problem and typically addressed by neural conditional random field (CRF) models, such BiLSTM-CRF. Intuitively, the types contain rich semantic information type sentence can globally reflect sentence-level semantics. However, most previous works recognize named entit...

This article examines the application of two single-document sentence compression techniques to the problem of multi-document summarization—a “parse-and-trim” approach and a statistical noisy-channel approach. We introduce the Multi-Candidate Reduction (MCR) framework for multi-document summarization, in which many compressed candidates are generated for each source sentence. These candidates a...

There is an error in the third equation. Please view the complete, correct equation here: t half ¼ log e 2 b In the penultimate sentence of the Abstract, the last sentence of the first paragraph in the Results section, and the first sentence of the final paragraph of the Discussion section the half-life value is incorrectly calculated as 6.3. The correct half-life value should read 6.7. open ac...

Four experiments investigate the scope of grammatical planning during spoken sentence production in Japanese and English. Experiment 1 shows that sentence latencies vary with length of sentence-initial subject phrase. Exploiting the head-final property of Japanese, Experiments 2 and 3 extend this result by showing that in a 2-phrase subject phrase, sentence latency varies with the length of the...

This paper describes a novel instancebased sentence boundary determination method for natural language generation that optimizes a set of criteria based on examples in a corpus. Compared to existing sentence boundary determination approaches, our work offers three significant contributions. First, our approach provides a general domain independent framework that effectively addresses sentence b...

In a series of three experiments we investigated syntactic priming using a sentence recall task. Participants read and memorized a target sentence for later recall. After reading a prime sentence and engaging in a distraction task, they were asked to produce the target sentence aloud. Earlier investigations have shown that this task is sensitive to a syntactic priming effect. That is, the synta...