In this paper, we present our systems submitted to SemEval-2021 Task 1 on lexical complexity prediction.The aim of this shared task was to create systems able to predict the lexical complexity of word tokens and bigram multiword expressions within a
given sentence context, a continuous value indicating the difficulty in understanding a respective utterance. Our approach relies on gradient boosted regression tree ensembles fitted using a heterogeneous feature set combining linguistic features, static and contextualized word embeddings, psycholinguistic norm lexica, WordNet, word- and character bigram frequencies and inclusion in wordlists to create a model able to assign a word or multiword expression a context-dependent complexity score. We can show that especially contextualised string embeddings can help with predicting lexical complexity.
Languages differ in terms of the absence or presence of gender features, the number of gender classes and whether and where gender features are explicitly marked. These cross-linguistic differences can lead to ambiguities that are difficult to resolv
e, especially for sentence-level MT systems. The identification of ambiguity and its subsequent resolution is a challenging task for which currently there aren't any specific resources or challenge sets available. In this paper, we introduce gENder-IT, an English--Italian challenge set focusing on the resolution of natural gender phenomena by providing word-level gender tags on the English source side and multiple gender alternative translations, where needed, on the Italian target side.
We present a data set consisting of German news articles labeled for political bias on a five-point scale in a semi-supervised way. While earlier work on hyperpartisan news detection uses binary classification (i.e., hyperpartisan or not) and English
data, we argue for a more fine-grained classification, covering the full political spectrum (i.e., far-left, left, centre, right, far-right) and for extending research to German data. Understanding political bias helps in accurately detecting hate speech and online abuse. We experiment with different classification methods for political bias detection. Their comparatively low performance (a macro-F1 of 43 for our best setup, compared to a macro-F1 of 79 for the binary classification task) underlines the need for more (balanced) data annotated in a fine-grained way.
Language models are notoriously difficult to evaluate. We release SuperSim, a large-scale similarity and relatedness test set for Swedish built with expert human judgements. The test set is composed of 1,360 word-pairs independently judged for both r
elatedness and similarity by five annotators. We evaluate three different models (Word2Vec, fastText, and GloVe) trained on two separate Swedish datasets, namely the Swedish Gigaword corpus and a Swedish Wikipedia dump, to provide a baseline for future comparison. We will release the fully annotated test set, code, models, and data.
Improving model generalization on held-out data is one of the core objectives in common- sense reasoning. Recent work has shown that models trained on the dataset with superficial cues tend to perform well on the easy test set with superficial cues b
ut perform poorly on the hard test set without superficial cues. Previous approaches have resorted to manual methods of encouraging models not to overfit to superficial cues. While some of the methods have improved performance on hard instances, they also lead to degraded performance on easy in- stances. Here, we propose to explicitly learn a model that does well on both the easy test set with superficial cues and the hard test set without superficial cues. Using a meta-learning objective, we learn such a model that improves performance on both the easy test set and the hard test set. By evaluating our models on Choice of Plausible Alternatives (COPA) and Commonsense Explanation, we show that our proposed method leads to improved performance on both the easy test set and the hard test set upon which we observe up to 16.5 percentage points improvement over the baseline.
The 1,3-dipolar cycloaddition of the aryl azide and some its of derivatives with cyclohex-
2-en-1-one was studied theoretically using different methods of Density Functional
Theory (DFT): B3LYP, B3PW91, MPW1PBE, MPW1PW91 and M062X with the basic
s
et 6-31g(d). Most of the used levels of theories provide closed results qualitatively, and
the results of the level of theory M062X / 6-31g (d) show that these reactions in the gas
state are spontaneously to form two products, but all the reactions are very slow and one of
the products P1 is more spontaneous and faster than the other P2 , and when these
reactions were studied with different solvents, it is found that solvents to have no actual
effects on the rates of these reactions.
The results of the level of theory M062X / 6-31g (d) indicate that the Gibbs free energy of
the reactions for the substitutes of Aryl increases in negative values in order of 2,6-Cl, -4
NO2, 4-OCH3, 3-OCH3, 3-Cl, 2 -Cl, H-; i.e., the substitutes do not have a significant
effect on the spontaneity of reactions compared to the substitute-H. It was observed that
TS-P1 transition state energy for all substitutes was lower than TS-P2 transition state
energy.
The 1,3-dipolar cycloaddition of the aryl azide and some its of derivatives with cinnamic
acid was studied theoretically using different methods of Density Functional Theory
(DFT): B3LYP, B3PW91, MPW1PBE, MPW1PW91 and M062X with the basic set 6-
3
1g(d). Most of the used levels of theories provide closed results qualitatively, and the
results of the level of theory M062X / 6-31g (d) show that these reactions in the gas state
carried out spontaneously to form several stable energy products; the products P1 and P2
are most stable, but all the reactions are very slow and one of the products P1 is more
spontaneous than P2 , but the formation reaction of P2 is faster.
On the other hand, when these reactions were studied with different solvents, it is found
that solvents to have no actual effects on the rates of these reactions.
The study was carried out in apple orchard and at the laboratories of Agricultural
Scientific Research Center, and Pome and Grapevine Division in Sweida (GCSAR),
Syria, during the growing seasons of 2015 and 2016 to study the effect of organic
res
idues, and boron and zinc addition on some soil characters, fruit set ratio and
some fruits qualitative traits in Starking delicious apple cultivar in Sweida.
In this paper we introduced four new types of open and closed sets
in tri-topological spaces, where we have introduced the definition of
open sets of the pattern Nα and closed sets of the pattern Nα in tritopological
spaces, as the we know from th
e open sets of the pattern
Sα and closed sets of the pattern Sα in these spaces, and we studied
the basic properties of these new types of sets, as the we have
created the relationship between them and open and closed sets in
these tri-topological spaces. Then use this new concept of open and
closed sets in the definition of closure and interior set, where we
know the closure and interior set of the pattern Nα by relying on
these new varieties of open and closed sets, we also found the basic
properties of closure and the interior of the pattern Nα.
The Diels - Alder reactions of furan and some derivatives with maleic anhydride
have been studied using methods of density functional theory (DFT): B3LYP, B3PW91,
MPW1PW91 and MPW1BPE with 6-31g(d) bases set and proceeding energy cor-relation
at M
P4 level of theory with same bases set. The results of this study showed that, for the
Diels - Alder reaction of Furan and 2-methyl furan with maleic anhydride, the reaction of
formation of exo-adduct proceeds under thermodynamical control, and the reaction of
formation of endo-adduct proceeds under kinatic control, but for the 2-furylmethanol, 2-
furylmethyl acetate and 2-furylmethyl benzoate, the reactions of formation of exo-adduct
proceed under thermodynamical and kinetic controls. The MPW1BPE/6-31g(d) level of
theory was advanced susceptible results by comparison with the reference experimental
data; exactly for furan-maleic anhydride Diels - Alder reaction.
