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pro vyhledávání: '"Feng, Dongji"'
Autor:
Rahgouy, Mostafa, Giglou, Hamed Babaei, Tabassum, Mehnaz, Feng, Dongji, Das, Amit, Rahgooy, Taher, Dozier, Gerry, Seals, Cheryl D.
AA is the process of attributing an unidentified document to its true author from a predefined group of known candidates, each possessing multiple samples. The nature of AA necessitates accommodating emerging new authors, as each individual must be c
Externí odkaz:
http://arxiv.org/abs/2408.08900
Autor:
Das, Amit, Rahgouy, Mostafa, Feng, Dongji, Zhang, Zheng, Bhattacharya, Tathagata, Raychawdhary, Nilanjana, Jamshidi, Fatemeh, Jain, Vinija, Chadha, Aman, Sandage, Mary, Pope, Lauramarie, Dozier, Gerry, Seals, Cheryl
The widespread presence of hateful languages on social media has resulted in adverse effects on societal well-being. As a result, addressing this issue with high priority has become very important. Hate speech or offensive languages exist in both exp
Externí odkaz:
http://arxiv.org/abs/2403.02472
While LLMs have shown great success in understanding and generating text in traditional conversational settings, their potential for performing ill-defined complex tasks is largely under-studied. Indeed, we are yet to conduct comprehensive benchmarki
Externí odkaz:
http://arxiv.org/abs/2305.11430
Sentence encoders have indeed been shown to achieve superior performances for many downstream text-mining tasks and, thus, claimed to be fairly general. Inspired by this, we performed a detailed study on how to leverage these sentence encoders for th
Externí odkaz:
http://arxiv.org/abs/2304.07382
In this paper, we present a novel perspective towards IR evaluation by proposing a new family of evaluation metrics where the existing popular metrics (e.g., nDCG, MAP) are customized by introducing a query-specific lower-bound (LB) normalization ter
Externí odkaz:
http://arxiv.org/abs/2209.05007
Autor:
Feng, Dongji, Karmaker, Shubhra Kanti
Publikováno v:
In Information Processing and Management July 2023 60(4)
Akademický článek
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