Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Ashutosh Modi"'
Autor:
Arnav Kapoor, Mudit Dhawan, Anmol Goel, Arjun T H, Akshala Bhatnagar, Vibhu Agrawal, Amul Agrawal, Arnab Bhattacharya, Ponnurangam Kumaraguru, Ashutosh Modi
Many populous countries including India are burdened with a considerable backlog of legal cases. Development of automated systems that could process legal documents and augment legal practitioners can mitigate this. However, there is a dearth of high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa7624dd7f08179ed43ac932645513b9
Emotions are an inherent part of human interactions, and consequently, it is imperative to develop AI systems that understand and recognize human emotions. During a conversation involving various people, a person's emotions are influenced by the othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29cb3f50cd7f74febc81889111d14e6b
Publikováno v:
ACII
In this paper, we propose a new framework for fine-grained emotion prediction in the text through emotion definition modeling. Our approach involves a multi-task learning framework that models definitions of emotions as an auxiliary task while being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b56d76e253abc51d7a8fca132cd547a4
https://doi.org/10.1109/acii52823.2021.9597436
https://doi.org/10.1109/acii52823.2021.9597436
Autor:
Abhishek Mittal, Ashutosh Modi
Publikováno v:
SemEval@ACL/IJCNLP
This paper describes our system for Task 4 of SemEval-2021: Reading Comprehension of Abstract Meaning (ReCAM). We participated in all subtasks where the main goal was to predict an abstract word missing from a statement. We fine-tuned the pre-trained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce054e63cb53902b7a19c8c9ee61badf
http://arxiv.org/abs/2104.01563
http://arxiv.org/abs/2104.01563
Publikováno v:
SemEval@ACL/IJCNLP
In this work, we present our approach for solving the SemEval 2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation (MCL-WiC). The task is a sentence pair classification problem where the goal is to detect whether a given word co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::070175a940d8ca31b44348e9736218ee
Publikováno v:
SemEval@ACL/IJCNLP
In this work, we present our approach and findings for SemEval-2021 Task 5 - Toxic Spans Detection. The task's main aim was to identify spans to which a given text's toxicity could be attributed. The task is challenging mainly due to two constraints:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b22fd044485f0b7def164445bab33829
https://doi.org/10.18653/v1/2021.semeval-1.24
https://doi.org/10.18653/v1/2021.semeval-1.24
Publikováno v:
SemEval@ACL/IJCNLP
Research in Natural Language Processing is making rapid advances, resulting in the publication of a large number of research papers. Finding relevant research papers and their contribution to the domain is a challenging problem. In this paper, we add
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7275d4ce3253b0d05b368e7619c8ee83
https://doi.org/10.18653/v1/2021.semeval-1.57
https://doi.org/10.18653/v1/2021.semeval-1.57
Publikováno v:
SemEval@ACL/IJCNLP
Recent progress in deep learning has primarily been fueled by the availability of large amounts of annotated data that is obtained from highly expensive manual annotating pro-cesses. To tackle this issue of availability of annotated data, a lot of re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f002fe3195728dcca9e74c5986c13b9f
https://doi.org/10.18653/v1/2021.semeval-1.53
https://doi.org/10.18653/v1/2021.semeval-1.53
Publikováno v:
SemEval@ACL/IJCNLP
Humor and Offense are highly subjective due to multiple word senses, cultural knowledge, and pragmatic competence. Hence, accurately detecting humorous and offensive texts has several compelling use cases in Recommendation Systems and Personalized Co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d409986a14f280ac2d06a608074e4f8
https://doi.org/10.18653/v1/2021.semeval-1.36
https://doi.org/10.18653/v1/2021.semeval-1.36
Autor:
Shouvik Kumar Guha, Rishabh Sanjay, Kripabandhu Ghosh, Shubham Kumar Nigam, Arnab Bhattacharya, Vijit Malik, Ashutosh Modi
Publikováno v:
ACL/IJCNLP (1)
Scopus-Elsevier
Scopus-Elsevier
An automated system that could assist a judge in predicting the outcome of a case would help expedite the judicial process. For such a system to be practically useful, predictions by the system should be explainable. To promote research in developing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::040992ba9497a1c93dfcaffd5f107db5
https://doi.org/10.18653/v1/2021.acl-long.313
https://doi.org/10.18653/v1/2021.acl-long.313