This paper demonstrates that aggregating crowdsourced forecasts benefits from modeling the written justifications provided by forecasters. Our experiments show that the majority and weighted vote baselines are competitive, and that the written justif
ications are beneficial to call a question throughout its life except in the last quarter. We also conduct an error analysis shedding light into the characteristics that make a justification unreliable.
While neural networks produce state-of-the- art performance in several NLP tasks, they generally depend heavily on lexicalized information, which transfer poorly between domains. Previous works have proposed delexicalization as a form of knowledge di
stillation to reduce the dependency on such lexical artifacts. However, a critical unsolved issue that remains is how much delexicalization to apply: a little helps reduce overfitting, but too much discards useful information. We propose Group Learning, a knowledge and model distillation approach for fact verification in which multiple student models have access to different delexicalized views of the data, but are encouraged to learn from each other through pair-wise consistency losses. In several cross-domain experiments between the FEVER and FNC fact verification datasets, we show that our approach learns the best delexicalization strategy for the given training dataset, and outperforms state-of-the-art classifiers that rely on the original data.
In this paper, we study the abstractive sentence summarization. There are two essential information features that can influence the quality of news summarization, which are topic keywords and the knowledge structure of the news text. Besides, the exi
sting knowledge encoder has poor performance on sparse sentence knowledge structure. Considering these, we propose KAS, a novel Knowledge and Keywords Augmented Abstractive Sentence Summarization framework. Tri-encoders are utilized to integrate contexts of original text, knowledge structure and keywords topic simultaneously, with a special linearized knowledge structure. Automatic and human evaluations demonstrate that KAS achieves the best performances.
We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficulties of combining multiple narratives, mostly of poor grammatical qua
lity, in a single text. We report an extensive evaluation of a wide range of abstractive summarisation models in combination with an off-the-shelf machine translation model. Texts are translated into English, summarised, and translated back to the original language. We obtain promising results regarding the fluency, consistency and relevance of the summaries produced. Our approach is easy to implement for many languages for production purposes by simply changing the translation model.
In this research we study the single-particle with particle-rotor model of the
isotopes. The rotational energy of the nucleus related to its
orientation .
This model study the nucleus as a tow parts ; one of them is the core which is
moving in a
collective motion, in addition of the other part of motion which is the single
particle motion outside the core.
The calculation shows that adding the coriolis effect make a better agreement to the
experimental values of the energy than the calculation without the coriolis effect the
research suggestion adding the vibration motion which contributes in the core vibration.
Data Transfer among international switchboard network in generally
as Service of Digital Network (ISDN) are very important to be
considered in the design process. This study aim at identifying the
nature and mechanism of the Time Delay which immen
sely affects
data transfer and later on identifying networks characteristics,
through implementing the Mathematical Model to calculate Time-
Delay caused by the control channel on the subscriber line in case
of primary signing in PRI into the (ISDN).Queuing System (QS)
model was introduced in order to examine time characteristics of
PRI.
The research aims to identify the reality of the work of tobacco workers union in
Jablah Department, in order to stand on their success in protecting the interests and rights
of members of workers, and to provide the necessary services to them, as
well as to
identify their role in improving the performance of workers in Jablah department.
The researcher has prepared and distributed a questionnaire on the research sample,
which amounted to (77) were distributed among workers (15) in the office of trade union
members and (62) a member of the guild. Data were using SPSS statistical analysis
software.
