-Opinion feature extraction is a sub problem of opinion mining analyzed at document, sentence, or even phrase (word) levels. Document-level (sentence-level) opinion mining is classified as overall subjectivity or sentiment, expressed in an individual review document. The existing approaches to opinion feature extraction depended on mining patterns from a particular evaluate corpus disregard non...

A visual-world eye-tracking experiment investigated the influence of order of mention and grammatical role on resolution of ambiguous pronouns in Finnish. According to the first-mention account, general cognitive structure-building processes make the firstmentioned noun phrase the preferred antecedent of an ambiguous pronoun. According to the subject-preference account, the preferred antecedent...

Verbal occasionalism is abundant in the language of Georgian fiction; Along with informativeness, these unusual forms are charactarized by brevity and emotional coloring. In modern poetic discourse, production models verbal occassionisms according to surname, paronomasian syntagms, where name same root stands next named verb (subordinate, direvt addition or other member sentence, punitive neolo...

In 2005, DeLong, Urbach, and Kutas took advantage of the a/an English indefinite article phonological alternation and the sensitivities of the N400 ERP component to show that readers can neurally preactivate individual words of a sentence (including nouns and their prenominal indefinite articles) in a graded fashion with a likelihood estimated from the words' offline probabilities as sentence c...

The nature of working memory operation during complex sentence comprehension was studied by means of eye-tracking methodology. Readers had difficulty when the syntax of a sentence required them to hold 2 similar noun phrases (NPs) in working memory before syntactically and semantically integrating either of the NPs with a verb. In sentence structures that placed these NPs at the same linear dis...

Compound noun analysis is one of the crucial problems in Korean language processing because a series of nouns in Korean may appear without white space in real texts, which makes it difficult to identify the morphological constituents. This paper presents an effective method of Korean compound noun segmen-tation based on lexical data extracted from corpus. The segmentation is done by two steps: ...

The TNO system for multi-document summarisation is based on an extraction approach. For headline generation, we chose to extend our system to extract the most informative topical noun phrase. The cluster topic is defined as the most frequent term occurring in the most salient document sentences. The core of our system is a probabilistic model, which estimates the log-odds of salience based on a...

This paper reports the results of a lexical decision experiment and a selfpaced reading experiment that investigate the interaction between syntactic and lexical information in on-line language processing, using the noun-verb ambiguity in English. The results of both experiments provide support for the hypothesis whereby syntactic and lexical information are two independent factors in the proce...

One of the tasks of text generation is sentence ordering since it is crucial for readability. Nevertheless, there is no common approach for evaluation of sentence ordering. The state-ofthe art methods are based on the comparison with a humanprovided order. However, in many cases it is impossible or time and resource consuming. Therefore, we propose three completely automatic approaches for sent...

Parsing strategies in temporarily ambiguous sentences were investigated in readers with different sentence memory capacities using event-related brain potentials (ERPs). Readers with a high memory span as well as readers with a low memory span were required to read subject and object relative sentences which were either ambiguous until the last word (late disambiguation) or were disambiguated b...