[PDF] Top 20 Cross Lingual Training for Automatic Question Generation

... our training pro- cedure and Figure 2 illustrates the overall archi- tecture of our QG ...Our cross-lingual QG model consists of two encoders and two decoders specific to each ... See full document

... Open-domain question answering (OpenQA) aims to answer questions through text retrieval and reading ...of training data (usually in English), which is not available in many other languages, especially for ... See full document

... pute the metrics. BLEU (Papineni et al., 2002) was originally designed for automatic machine translation. By counting n-gram co-occurrences, it rates the quality of a translated sentence given sev- eral reference ... See full document

... The video used was a documentary on ‘nuclear fusion’ (Horizon, 2005). The experiment consisted of three parts, each corresponding to a 10-minute section of the documentary. The participants were divided into three ... See full document

... The workbench also records edit logs and other parame- ters while editing the automatic summary and translation. These logs can give meaningful insights for the task or can also be used as continuous feedback to ... See full document

... When the keywords that must be linked to some en- tities in the KB or refer to some types in the KB ontology have been found, we should link each of which to its appropriate entity or type. To do entity linking, results ... See full document

... that automatic translation is a viable alternative for the construction of re- sources and tools for subjectivity analysis in a new target ...for cross- lingual sentiment classification of Chinese ... See full document

... Text-to-Question generation task, a QG system is given a text, and the goal is to generate a set of questions for which the text contains ...a question about a given text can be typically decomposed ... See full document

... and automatic translation evaluation metrics and CLQA accuracy by creating a data set using both manual and machine translations and per- form CLQA using this created data ... See full document

... Lexical resources like PropBank (Palmer et al. 2005) and FrameNet (Baker et al. 1998) are needed to label semantic role of arguments. The Turkish lexical semantic resource (TLSR) were built by Isguder Şahin and Adalı ... See full document

... four-fold cross-validation (CV) by dividing data regarding test takers, ...for training and the rest for ...the training set was further used to con- duct the CAT_AVG simulation which is performed ... See full document

... the automatic cross-lingual similarization of dependency grammars, and learnt grammars with higher cross-lingual similarity while maintaining the non-triviality of the ... See full document

... the training data to match the test data, as is customary in MT evaluations, whereas the production system must be able to handle a wide range of input ...test-specific training data can be used to tailor ... See full document

... Previous work on Automatic QG has focused on generating questions using question tem- plates (Liu et al., 2012); (Mostow and Chen, 2009); (Sneiders, 2002), transformation rules based largely on case ... See full document

... our Automatic Question and Answer Generating System with the above-mentioned systems, our system has some additional functions to generate good quality question without having grammar ... See full document

... Table 3 also shows the results for English. Not surprisingly, since we have an order of magnitude more data for English, the model trained and tested on English data still performs better than any of the evaluated ... See full document

... In contrast to the above systems, other ap- proaches have an intermediate step of transform- ing input into some sort of semantic represen- tation. Examples of this intermediate step can be found in Yao and Zhang (2010) ... See full document

... Arabic POS Tagging is the process of identifying lexical category of the Arabic word existing in a sentence based on its context (Abuleil 2004). The most used categories are noun, adverb, verb and adjective (Benajiba and ... See full document

... In this paper, we describe an architecture for model-based verification and testing in which projected models are generated automatically for each specified purpose. We explain how these projected models can be ... See full document

... We first investigated if the item difficulty could be controlled by the automatic ques- tion generation system using the three factors. Each of the three factors was set to two levels, high (difficult) and ... See full document