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pro vyhledávání: '"Wadhawan, Anshul"'
Autor:
Dugan, Liam, Wadhawan, Anshul, Spence, Kyle, Callison-Burch, Chris, McGuire, Morgan, Zordan, Victor
Recent work in speech-to-speech translation (S2ST) has focused primarily on offline settings, where the full input utterance is available before any output is given. This, however, is not reasonable in many real-world scenarios. In latency-sensitive
Externí odkaz:
http://arxiv.org/abs/2306.01201
Autor:
Wadhawan, Anshul
This paper presents our strategy to tackle the EACL WANLP-2021 Shared Task 2: Sarcasm and Sentiment Detection. One of the subtasks aims at developing a system that identifies whether a given Arabic tweet is sarcastic in nature or not, while the other
Externí odkaz:
http://arxiv.org/abs/2103.01679
This paper aims to describe the approach we used to detect hope speech in the HopeEDI dataset. We experimented with two approaches. In the first approach, we used contextual embeddings to train classifiers using logistic regression, random forest, SV
Externí odkaz:
http://arxiv.org/abs/2102.12082
Autor:
Wadhawan, Anshul
This paper presents our approach to address the EACL WANLP-2021 Shared Task 1: Nuanced Arabic Dialect Identification (NADI). The task is aimed at developing a system that identifies the geographical location(country/province) from where an Arabic twe
Externí odkaz:
http://arxiv.org/abs/2102.09749
Autor:
Wadhawan, Anshul, Aggarwal, Akshita
In the last few years, emotion detection in social-media text has become a popular problem due to its wide ranging application in better understanding the consumers, in psychology, in aiding human interaction with computers, designing smart systems e
Externí odkaz:
http://arxiv.org/abs/2102.09943
Autor:
Singh, Janvijay, Wadhawan, Anshul
In this paper, we describe the approach that we employed to address the task of Entity Recognition over Wet Lab Protocols -- a shared task in EMNLP WNUT-2020 Workshop. Our approach is composed of two phases. In the first phase, we experiment with var
Externí odkaz:
http://arxiv.org/abs/2010.02142
With the increased use of social media platforms by people across the world, many new interesting NLP problems have come into existence. One such being the detection of sarcasm in the social media texts. We present a corpus of tweets for training cus
Externí odkaz:
http://arxiv.org/abs/2010.00310
Autor:
Wadhawan, Anshul
This paper presents the approach that we employed to tackle the EMNLP WNUT-2020 Shared Task 2 : Identification of informative COVID-19 English Tweets. The task is to develop a system that automatically identifies whether an English Tweet related to t
Externí odkaz:
http://arxiv.org/abs/2010.00294