Learning to Respond with Your Favorite Stickers

2021 ◽  
Vol 39 (2) ◽  
pp. 1-32
Author(s):  
Shen Gao ◽  
Xiuying Chen ◽  
Li Liu ◽  
Dongyan Zhao ◽  
Rui Yan
Keyword(s):  
Large Scale ◽  
Interaction Network ◽  
User Preference ◽  
Short Term ◽  
Selection History ◽  
Preference Representation ◽  
History Of ◽  
Memory Network ◽  
Matching Degree

Stickers with vivid and engaging expressions are becoming increasingly popular in online messaging apps, and some works are dedicated to automatically select sticker response by matching the stickers image with previous utterances. However, existing methods usually focus on measuring the matching degree between the dialog context and sticker image, which ignores the user preference of using stickers. Hence, in this article, we propose to recommend an appropriate sticker to user based on multi-turn dialog context and sticker using history of user. Two main challenges are confronted in this task. One is to model the sticker preference of user based on the previous sticker selection history. Another challenge is to jointly fuse the user preference and the matching between dialog context and candidate sticker into final prediction making. To tackle these challenges, we propose a Preference Enhanced Sticker Response Selector (PESRS) model. Specifically, PESRS first employs a convolutional-based sticker image encoder and a self-attention-based multi-turn dialog encoder to obtain the representation of stickers and utterances. Next, deep interaction network is proposed to conduct deep matching between the sticker and each utterance. Then, we model the user preference by using the recently selected stickers as input and use a key-value memory network to store the preference representation. PESRS then learns the short-term and long-term dependency between all interaction results by a fusion network and dynamically fuses the user preference representation into the final sticker selection prediction. Extensive experiments conducted on a large-scale real-world dialog dataset show that our model achieves the state-of-the-art performance for all commonly used metrics. Experiments also verify the effectiveness of each component of PESRS.

scholarly journals Two Stage Continuous Gesture Recognition Based on Deep Learning

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 534
Author(s):  
Huogen Wang
Keyword(s):  
Gesture Recognition ◽  
Large Scale ◽  
Short Term Memory ◽  
Short Term ◽  
Hand Motion ◽  
Spatiotemporal Features ◽  
Spatiotemporal Information ◽  
Video Frames ◽  
Depth Sequences

The paper proposes an effective continuous gesture recognition method, which includes two modules: segmentation and recognition. In the segmentation module, the video frames are divided into gesture frames and transitional frames by using the information of hand motion and appearance, and continuous gesture sequences are segmented into isolated sequences. In the recognition module, our method exploits the spatiotemporal information embedded in RGB and depth sequences. For the RGB modality, our method adopts Convolutional Long Short-Term Memory Networks to learn long-term spatiotemporal features from short-term spatiotemporal features obtained from a 3D convolutional neural network. For the depth modality, our method converts a sequence into Dynamic Images and Motion Dynamic Images through weighted rank pooling and feed them into Convolutional Neural Networks, respectively. Our method has been evaluated on both ChaLearn LAP Large-scale Continuous Gesture Dataset and Montalbano Gesture Dataset and achieved state-of-the-art performance.

scholarly journals Rheumatoid arthritis onset after COVID-19 infection: a case report

2021 ◽  
Vol 9 (12) ◽  
pp. 3713
Author(s):  
Thafar S. A. Safar ◽  
Karmen B. Katay ◽  
Reem H. Khamis
Keyword(s):  
Rheumatoid Arthritis ◽  
Case Report ◽  
Pathological Condition ◽  
Primary Health Care Centre ◽  
Short Term ◽  
Health Care Centre ◽  
Immune Mediated ◽  
Small Hand ◽  
History Of

At the end of 2019, coronavirus disease (COVID-19) outbreak is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). Worldwide researchers and physician try to explore the mechanisms of damage induced by virus, they focus on the short-term and long-term immune-mediated consequences induced by the virus infection. Every day discover a new pathological condition induced by virus and new symptoms and disease may occur after recovery from disease. Our case report is 41 years old, Indian lady who presented to our primary health care centre complaining of multiple small hand joints pain, both elbows and knees pain with swelling of them and prolonged morning stiffness, diagnosed seropositive rheumatoid arthritis (RA) (arthritis, positive rheumatoid factor (RF), and X-ray changes) after 1 month recovery from COVID-19 infection. She did not have any joint pain and she had negative RF before COVID-19 infection with no family history of RA.

scholarly journals Journal of the History of Economic Thought Preprints - Limits to Arbitrage and Interest Rates: A Debate Between Keynes, Hawtrey and Hicks

2018 ◽  
Author(s):  
Lucy BRILLANT
Keyword(s):  
Business Cycle ◽  
Central Bank ◽  
Interest Rates ◽  
Economic Thought ◽  
History Of Economic Thought ◽  
Short Term ◽  
Limits To Arbitrage ◽  
History Of ◽  
The Business Cycle

This paper deals with a debate between Hawtrey, Hicks and Keynes concerning the capacity of the central bank to influence the short-term and the long-term rates of interest. Both Hawtrey and Keynes considered the central bank’s ability to influence short-term rates of interest. However, they do not put the same emphasis on the study of the long-term rates of interest. According to Keynes, long-term rates are influenced by future expected short-term rates (1930, 1936), whereas for Hawtrey (1932, 1937, 1938), long-term rates are more dependent on the business cycle. Short-term rates do not have much effect on long-term rates according to Hawtrey. In 1939, Hicks enters the controversy, giving credit to both Hawtrey’s and Keynes’s theories, and also introducing limits to the operations of arbitrage. He thus presented a nuanced view.

5. Long Waves and Conjunctures of Democratization

2018 ◽  
pp. 67-81
Author(s):  
Dirk Berg-Schlosser
Keyword(s):  
Eighteenth Century ◽  
Long Waves ◽  
Political Equality ◽  
Short Term ◽  
Late Eighteenth Century ◽  
Long Wave ◽  
Late Eighteenth ◽  
The Future ◽  
History Of

This chapter focuses on the history of democratization since the late eighteenth century. It introduces the concepts of ‘waves’ (trends) and ‘conjunctures’ (briefer turmoils) and delineates the major developments in this respect. In this way, the major long-term and short-term factors leading to the emergence and breakdowns of democracies are also highlighted. The first long wave occurred during the period 1776–1914, followed by the first positive conjuncture in 1918–19, the second long wave (with some intermittent turbulences) in 1945–88, and the latest conjuncture in 1989–90. The chapter identifies the main ingredients to democratization throughout history, namely: republicanism, representation, and political equality. It concludes by considering some of the current perspectives and dangers for the future of democracy.

scholarly journals Challenges in modelling isoprene and monoterpene emission dynamics of Arctic plants: a case study from a subarctic tundra heath

2016 ◽  
Vol 13 (24) ◽  
pp. 6651-6667 ◽  
Author(s):  
Jing Tang ◽  
Guy Schurgers ◽  
Hanna Valolahti ◽  
Patrick Faubert ◽  
Päivi Tiiva ◽  
...  
Keyword(s):  
Response Curve ◽  
Large Scale ◽  
Ecosystem Model ◽  
The Arctic ◽  
Short Term ◽  
Response Curves ◽  
Arctic Plants ◽  
Scale Modelling

Abstract. The Arctic is warming at twice the global average speed, and the warming-induced increases in biogenic volatile organic compounds (BVOCs) emissions from Arctic plants are expected to be drastic. The current global models' estimations of minimal BVOC emissions from the Arctic are based on very few observations and have been challenged increasingly by field data. This study applied a dynamic ecosystem model, LPJ-GUESS, as a platform to investigate short-term and long-term BVOC emission responses to Arctic climate warming. Field observations in a subarctic tundra heath with long-term (13-year) warming treatments were extensively used for parameterizing and evaluating BVOC-related processes (photosynthesis, emission responses to temperature and vegetation composition). We propose an adjusted temperature (T) response curve for Arctic plants with much stronger T sensitivity than the commonly used algorithms for large-scale modelling. The simulated emission responses to 2 °C warming between the adjusted and original T response curves were evaluated against the observed warming responses (WRs) at short-term scales. Moreover, the model responses to warming by 4 and 8 °C were also investigated as a sensitivity test. The model showed reasonable agreement to the observed vegetation CO2 fluxes in the main growing season as well as day-to-day variability of isoprene and monoterpene emissions. The observed relatively high WRs were better captured by the adjusted T response curve than by the common one. During 1999–2012, the modelled annual mean isoprene and monoterpene emissions were 20 and 8 mg C m−2 yr−1, with an increase by 55 and 57 % for 2 °C summertime warming, respectively. Warming by 4 and 8 °C for the same period further elevated isoprene emission for all years, but the impacts on monoterpene emissions levelled off during the last few years. At hour-day scale, the WRs seem to be strongly impacted by canopy air T, while at the day–year scale, the WRs are a combined effect of plant functional type (PFT) dynamics and instantaneous BVOC responses to warming. The identified challenges in estimating Arctic BVOC emissions are (1) correct leaf T estimation, (2) PFT parameterization accounting for plant emission features as well as physiological responses to warming, and (3) representation of long-term vegetation changes in the past and the future.

Contrasting tactical and strategic dynamics on a Clausewitz landscape

2019 ◽  
Vol 17 (2) ◽  
pp. 143-153
Author(s):  
Rodrick Wallace
Keyword(s):  
Statistical Models ◽  
Limit Theorems ◽  
Large Scale ◽  
Evolutionary Process ◽  
Short Term ◽  
Local Resources ◽  
Human Organization ◽  
The World ◽  
Short Time

Statistical models based on the asymptotic limit theorems of control and information theories allow formal examination of the essential differences between short-time “tactical” confrontations and a long-term “strategic” conflict dominated by evolutionary process. The world of extended coevolutionary conflict is not the world of sequential “muddling through.” The existential strategic challenge is to take cognitive control of a long-term dynamic in which one may, in fact, be “losing” most short-term confrontations. Winning individual battles can be a relatively direct, if not simple or easy, matter of sufficient local resources, training, and resolve. Winning extended conflicts is not direct, and requires management of subtle coevolutionary phenomena subject to a dismaying punctuated equilibrium more familiar from evolutionary theory than military doctrine. Directed evolution has given us the agricultural base needed for large-scale human organization. Directed coevolution of the inevitable conflicts between the various segments of that organization may be needed for its long-term persistence.

scholarly journals Systematic review of clinical outcomes after prophylactic surgery

2016 ◽  
Vol 98 (6) ◽  
pp. 353-357 ◽  
Author(s):  
CR Davis ◽  
AEJ Trevatt ◽  
A Dixit ◽  
V Datta
Keyword(s):  
Systematic Review ◽  
Acute Appendicitis ◽  
Prophylactic Surgery ◽  
Cochrane Central Register ◽  
Short Term ◽  
Asymptomatic Patients ◽  
Central Register ◽  
Life Threatening ◽  
History Of

Introduction Prophylactic appendicectomy is performed prior to military, polar and space expeditions to prevent acute appendicitis in the field. However, the risk–benefit ratio of prophylactic surgery is controversial. This study aimed to systematically review the evidence for prophylactic appendicectomy. It is supplemented by a clinical example of prophylactic surgery resulting in life-threatening complications. Methods A systematic review was performed using MEDLINE® and the Cochrane Central Register of Controlled Trials. Keyword variants of ‘prophylaxis’ and ‘appendicectomy’ were combined to identify potential papers for inclusion. Papers related to prophylactic appendicectomy risks and benefits were reviewed. Results Overall, 511 papers were identified, with 37 papers satisfying the inclusion criteria. Nine reported outcomes after incidental appendicectomy during concurrent surgical procedures. No papers focused explicitly on prophylactic appendicectomy in asymptomatic patients. The clinical example outlined acute obstruction secondary to adhesions from a prophylactic appendicectomy. Complications after elective appendicectomy versus the natural history of acute appendicitis in scenarios such as polar expeditions or covert operations suggest prophylactic appendicectomy may be appropriate prior to extreme situations. Nevertheless, the long-term risk of adhesion related complications render prophylactic appendicectomy feasible only when the short-term risk of acute appendicitis outweighs the long-term risks of surgery. Conclusions Prophylactic appendicectomy is rarely performed and not without risk. This is the first documented evidence of long-term complications following prophylactic appendicectomy. Surgery should be considered on an individual basis by balancing the risks of acute appendicitis in the field with the potential consequences of an otherwise unnecessary surgical procedure in a healthy patient.

The Holocaust

2018 ◽  
Author(s):  
George R. Mastroianni
Keyword(s):  
Large Scale ◽  
Social Psychological ◽  
The Holocaust ◽  
Cultural Processes ◽  
History Of ◽  
Situational Pressures

Chapter 2 traces the history of psychological thinking about Hitler, the Nazi accession to power, and, eventually, the Holocaust. Explanations of these phenomena took several forms. Some focused on putative psychopathology, either of Nazi leaders or Germans as a whole; some focused on particular German cultural and social adaptations that were thought to produce particularly obedient and authoritarian individuals; still others emphasized the interaction of some or all of these factors with long-term, large-scale historical and cultural processes. Gordon Allport saw prejudice and racism as central to understanding the Holocaust. After Stanley Milgram’s studies appeared in the early 1960s, genocidal behavior was largely seen by psychologists as an obedient response to situational pressures. Recent decades have brought greater diversity in social psychological explanations of perpetrator behavior in the Holocaust and in genocide more generally.

scholarly journals Modelling large timescale and small timescale service variability

2019 ◽  
Vol 293 (1) ◽  
pp. 123-140
Author(s):  
Marco Gribaudo ◽  
Illés Horváth ◽  
Daniele Manini ◽  
Miklós Telek
Keyword(s):  
Service Time ◽  
Large Scale ◽  
Service Time Distribution ◽  
Efficient Computation ◽  
Short Term ◽  
Service Unit ◽  
Long Term Effect ◽  
Short And Long Term ◽  
Short Term Variability

Abstract The performance of service units may depend on various randomly changing environmental effects. It is quite often the case that these effects vary on different timescales. In this paper, we consider small and large scale (short and long term) service variability, where the short term variability affects the instantaneous service speed of the service unit and a modulating background Markov chain characterizes the long term effect. The main modelling challenge in this work is that the considered small and long term variation results in randomness along different axes: short term variability along the time axis and long term variability along the work axis. We present a simulation approach and an explicit analytic formula for the service time distribution in the double transform domain that allows for the efficient computation of service time moments. Finally, we compare the simulation results with analytic ones.

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