Стандартты деректер жиынтығы

Dividing sentences in chunks of words is a useful preprocessing step for parsing, information extraction and information retrieval. (l~mshaw and Marcus, 1995) have introduced a "convenient" data rep- resentation for …...

This paper describes POS tagging exper- iments with semi-supervised training as an extension to the (supervised) averaged perceptron algorithm, first introduced for this task by (Collins, 2002). Experiments with an …...

This paper introduces tree transducers as a unifying theory for semantic parsing models based on tree transformations. Many exist- ing models use tree transformations, but im- plement specialized training and …...

AbstractWe develop a model for predicting verb sense from subcategorization information and integrate it into SSI-Dijkstra, a wide-coverage knowledge-based WSD algorithm. Adding syntactic knowledge in this way should correct the …...

Some languages lack large knowledge bases and good discriminative features for Name Entity Recognition (NER) that can general- ize to previously unseen named entities. One such language is Arabic, which: …...

AbstractIn this paper, we study the problems of opinion expression extraction and expression-level polarity and intensity classification. Traditional fine-grained opinion analysis systems address these problems in isolation and thus cannot …...

Several recent papers on Arabic dialect identi- fication have hinted that using a word unigram model is sufficient and effective for the task. However, most previous work was done on …...

This paper is concerned with the task of bilingual lexicon induction using image- based features. By applying features from a convolutional neural network (CNN), we obtain state-of-the-art performance on a …...

AbstractIn this paper we analyze the effectiveness of using linguistic knowledge from coreference and anaphora resolution for improving the performance for supervised keyphrase extraction. In order to verify the impact …...

AbstractSyntax has been a useful source of information for statistical RST discourse parsing. Under the neural setting, a common approach integrates syntax by a recursive neural network (RNN), requiring discrete …...

AbstractWe propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates. Given a political debate, such as the 2016 US Presidential and Vice-Presidential ones, the task …...

AbstractThis paper addresses the task of (complex) conversational question answering over a knowledge graph. For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer and Graph atteNtion nEworks). It …...