Zobrazeno 1 - 10
of 3 167
pro vyhledávání: '"Saif, M"'
Autor:
Ousidhoum, Nedjma, Muhammad, Shamsuddeen Hassan, Abdalla, Mohamed, Abdulmumin, Idris, Ahmad, Ibrahim Said, Ahuja, Sanchit, Aji, Alham Fikri, Araujo, Vladimir, Beloucif, Meriem, De Kock, Christine, Hourrane, Oumaima, Shrivastava, Manish, Solorio, Thamar, Surange, Nirmal, Vishnubhotla, Krishnapriya, Yimam, Seid Muhie, Mohammad, Saif M.
We present the first shared task on Semantic Textual Relatedness (STR). While earlier shared tasks primarily focused on semantic similarity, we instead investigate the broader phenomenon of semantic relatedness across 14 languages: Afrikaans, Algeria
Externí odkaz:
http://arxiv.org/abs/2403.18933
Stories are rich in the emotions they exhibit in their narratives and evoke in the readers. The emotional journeys of the various characters within a story are central to their appeal. Computational analysis of the emotions of novels, however, has ra
Externí odkaz:
http://arxiv.org/abs/2403.02474
Autor:
Vishnubhotla, Krishnapriya, Teodorescu, Daniela, Feldman, Mallory J., Lindquist, Kristen A., Mohammad, Saif M.
We are united in how emotions are central to shaping our experiences; and yet, individuals differ greatly in how we each identify, categorize, and express emotions. In psychology, variation in the ability of individuals to differentiate between emoti
Externí odkaz:
http://arxiv.org/abs/2403.02281
This study examines the tendency to cite older work across 20 fields of study over 43 years (1980--2023). We put NLP's propensity to cite older work in the context of these 20 other fields to analyze whether NLP shows similar temporal citation patter
Externí odkaz:
http://arxiv.org/abs/2402.12046
Autor:
Ousidhoum, Nedjma, Muhammad, Shamsuddeen Hassan, Abdalla, Mohamed, Abdulmumin, Idris, Ahmad, Ibrahim Said, Ahuja, Sanchit, Aji, Alham Fikri, Araujo, Vladimir, Ayele, Abinew Ali, Baswani, Pavan, Beloucif, Meriem, Biemann, Chris, Bourhim, Sofia, De Kock, Christine, Dekebo, Genet Shanko, Hourrane, Oumaima, Kanumolu, Gopichand, Madasu, Lokesh, Rutunda, Samuel, Shrivastava, Manish, Solorio, Thamar, Surange, Nirmal, Tilaye, Hailegnaw Getaneh, Vishnubhotla, Krishnapriya, Winata, Genta, Yimam, Seid Muhie, Mohammad, Saif M.
Exploring and quantifying semantic relatedness is central to representing language and holds significant implications across various NLP tasks. While earlier NLP research primarily focused on semantic similarity, often within the English language con
Externí odkaz:
http://arxiv.org/abs/2402.08638
Autor:
Saif, M. Ali
We study the crossover phenomena from the dynamical percolation class (DyP) to the directed percolation class (DP) in the model of diseases spreading, Susceptible-Infected-Refractory-Susceptible (SIRS) on a two-dimensional lattice. In this model, age
Externí odkaz:
http://arxiv.org/abs/2311.06306
Research in psychopathology has shown that, at an aggregate level, the patterns of emotional change over time -- emotion dynamics -- are indicators of one's mental health. One's patterns of emotion change have traditionally been determined through se
Externí odkaz:
http://arxiv.org/abs/2310.17369
Publikováno v:
EMNLP 2023
Natural Language Processing (NLP) is poised to substantially influence the world. However, significant progress comes hand-in-hand with substantial risks. Addressing them requires broad engagement with various fields of study. Yet, little empirical w
Externí odkaz:
http://arxiv.org/abs/2310.14870
Autor:
Saif, M. Ali
We study the nonequilibrium phase transitions from the absorbing phase to the active phase for the model of disease spreading (Susceptible-Infected-Refractory-Susceptible (SIRS)) on a regular one dimensional lattice. In this model, particles of three
Externí odkaz:
http://arxiv.org/abs/2308.07196
Autor:
Saif, M. Ali, Mughalles, Bassam M.
Recently, machine learning algorithms have been used remarkably to study the equilibrium phase transitions, however there are only a few works have been done using this technique in the nonequilibrium phase transitions. In this work, we use the super
Externí odkaz:
http://arxiv.org/abs/2307.10456