Fine-grained classification involves dealing with datasets with larger number of classes with subtle differences between them. Guiding the model to focus on differentiating dimensions between these commonly confusable classes is key to improving perf
ormance on fine-grained tasks. In this work, we analyse the contrastive fine-tuning of pre-trained language models on two fine-grained text classification tasks, emotion classification and sentiment analysis. We adaptively embed class relationships into a contrastive objective function to help differently weigh the positives and negatives, and in particular, weighting closely confusable negatives more than less similar negative examples. We find that Label-aware Contrastive Loss outperforms previous contrastive methods, in the presence of larger number and/or more confusable classes, and helps models to produce output distributions that are more differentiated.
We present a model to predict fine-grained emotions along the continuous dimensions of valence, arousal, and dominance (VAD) with a corpus with categorical emotion annotations. Our model is trained by minimizing the EMD (Earth Mover's Distance) loss
between the predicted VAD score distribution and the categorical emotion distributions sorted along VAD, and it can simultaneously classify the emotion categories and predict the VAD scores for a given sentence. We use pre-trained RoBERTa-Large and fine-tune on three different corpora with categorical labels and evaluate on EmoBank corpus with VAD scores. We show that our approach reaches comparable performance to that of the state-of-the-art classifiers in categorical emotion classification and shows significant positive correlations with the ground truth VAD scores. Also, further training with supervision of VAD labels leads to improved performance especially when dataset is small. We also present examples of predictions of appropriate emotion words that are not part of the original annotations.
Temporal language grounding in videos aims to localize the temporal span relevant to the given query sentence. Previous methods treat it either as a boundary regression task or a span extraction task. This paper will formulate temporal language groun
ding into video reading comprehension and propose a Relation-aware Network (RaNet) to address it. This framework aims to select a video moment choice from the predefined answer set with the aid of coarse-and-fine choice-query interaction and choice-choice relation construction. A choice-query interactor is proposed to match the visual and textual information simultaneously in sentence-moment and token-moment levels, leading to a coarse-and-fine cross-modal interaction. Moreover, a novel multi-choice relation constructor is introduced by leveraging graph convolution to capture the dependencies among video moment choices for the best choice selection. Extensive experiments on ActivityNet-Captions, TACoS, and Charades-STA demonstrate the effectiveness of our solution. Codes will be available at https://github.com/Huntersxsx/RaNet.
In this paper, the modeling methods of tunneling and the surface subsidence induced by
that have been studied by using two-dimensional numerical analysis according to the FEM
method, assuming the green field condition، which means that there is no
load on the soil
surface above the tunnel. A FE study was conducted in which an elasto-plastic constitutive
model was adopted to model the soil behavior (HS, HSsmall).
This article includes a comparison between the results of numerical analysis and field
measurements to executed projects، and a suggested method for modeling tunnel
excavation and surface subsidence induced by that.
This research was carried out during the agricultural season 2014 in the
Buqai'a plain in west of Homs governorate, to study the effect of several
systems for intercropping on Corn crop (Zea mays L.( and Soybean crop
(Glycine max L.): (Zea mays li
ne : Soybean line) (Zea mays line : Two
Soybean lines) (Two Zea mays lines + Soybean line) ( Two Zea mays
lines + Two soybean lines) (Single Zea mays crop), (Single soybean
crop).
in this study a land suitability evaluation was carried out for Olives
(Olea europancae ) cultivation and was performed in Latakia province.
it included 6 land units (coastal plains, valleys and river bed, summit,
gently sloping, moderately slopin
g, steeply sloping) each unit was
represented by one representative soil profile and its characteristics
were matched with olive requirement by using LAMIS and gis to
identify suitability classes.
The objective of the research is to identify the optimal date of
planting when mutual intercropping (line: line) is used in planting
beans Phaseolus vulgaris L. and sweet corn Zea mays rugose L.
The 3Dimension representation of facilities engineering an important stage in the
context of the expression of the engineering facilities and design engineering and
subsequent action to be carried out. From this point of our research is designed to
compare
the methods of digital representation triple dimension to civilian facilities with special
uses, including the archaeological monument for subsequent Business (documentation,
restoration) and ease of access to cross-sections. Technical and economic comparison was
conducted between three ways :
1. The traditional way using modern civil 3d programs and programs of digital
photography using mobile phone hardware and software approval.
2. Using the different potential of Geographic Information Systems, GIS software.
3. The possibility of using a Laser scanner
And adopted as a standard in the comparison the method that gives maximum of
economy to achieve the technical conditions.
The 3Dimension representation of facilities engineering an important stage in the
context of the expression of the engineering facilities and design engineering and
subsequent action to be carried out. From this point of our research is designed to
compare
the methods of digital representation triple dimension to civilian facilities with special
uses, including the archaeological monument for subsequent Business (documentation,
restoration) and ease of access to cross-sections. Technical and economic comparison was
conducted between three ways :
1. The traditional way using modern civil 3d programs and programs of digital
photography using mobile phone hardware and software approval.
2. Using the different potential of Geographic Information Systems, GIS software.
3. The possibility of using a Laser scanner
And adopted as a standard in the comparison the method that gives maximum of
economy to achieve the technical conditions.
The mythical characters used by T.S. Eliot form the structure of The
Waste Land and the underlying structure which stands as the pillar
of the poem. The theme of sameness, in Eliot's opinion, dominates
the whole world – past, present and future. I
n achieving this, Eliot
uses characters from the past, such as Sybil and Tiresias, and apply
them to contemporary characters.
