1 code implementation • NoDaLiDa 2021 • Timo Johner, Abhik Jana, Chris Biemann
Recent research using pre-trained language models for multi-document summarization task lacks deep investigation of potential erroneous cases and their possible application on other languages.
1 code implementation • EURALI (LREC) 2022 • Sushil Awale, Abhik Jana
Even though the use of WordNet in the Natural Language Processing domain is unquestionable, creating and maintaining WordNet is a cumbersome job and it is even difficult for low resource languages like Hindi.
no code implementations • EURALI (LREC) 2022 • Sree Bhattacharyya, Abhik Jana
Even though for languages like English, the existing WordNet is reasonably rich in terms of coverage, for resource-poor languages like Bengali, the WordNet is far from being reasonably sufficient in terms of coverage of vocabulary and relations between them.
no code implementations • ICON 2021 • Anirban Bhowmick, Abhik Jana
Sentiment analysis is one of the key Natural Language Processing (NLP) tasks that has been attempted by researchers extensively for resource-rich languages like English.
no code implementations • NAACL (PrivateNLP) 2021 • Abhik Jana, Chris Biemann
In this paper, we investigate the applicability of a privacy-preserving framework for sequence tagging tasks, specifically NER.
1 code implementation • 2 Oct 2024 • Punyajoy Saha, Abhilash Datta, Abhik Jana, Animesh Mukherjee
We evaluate two frameworks for generating counterspeech responses - vanilla and type-controlled prompts - across four large language models.
1 code implementation • 22 Mar 2024 • Punyajoy Saha, Aalok Agrawal, Abhik Jana, Chris Biemann, Animesh Mukherjee
In terms of prompting, we find that our proposed strategies help in improving counter speech generation across all the models.
no code implementations • 23 Feb 2023 • Daniel Martin Katz, Dirk Hartung, Lauritz Gerlach, Abhik Jana, Michael J. Bommarito II
To support our analysis, we construct and analyze a nearly complete corpus of more than six hundred NLP & Law related papers published over the past decade.
1 code implementation • ACL 2022 • Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael Bommarito, Ion Androutsopoulos, Daniel Martin Katz, Nikolaos Aletras
Laws and their interpretations, legal arguments and agreements\ are typically expressed in writing, leading to the production of vast corpora of legal text.
Ranked #1 on Natural Language Understanding on LexGLUE
no code implementations • LREC 2020 • Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal
Discriminating lexical relations among distributionally similar words has always been a challenge for natural language processing (NLP) community.
1 code implementation • IJCNLP 2019 • Soumya Sharma, Bishal Santra, Abhik Jana, T. Y. S. S. Santosh, Niloy Ganguly, Pawan Goyal
Specifically, we experiment with fusing embeddings obtained from knowledge graph with the state-of-the-art approaches for NLI task (ESIM model).
no code implementations • ACL 2019 • Abhik Jana, Dima Puzyrev, Alex Panchenko, er, Pawan Goyal, Chris Biemann, Animesh Mukherjee
In particular, we use hypernymy information of the multiword and its constituents encoded in the form of the recently introduced Poincar{\'e} embeddings in addition to the distributional information to detect compositionality for noun phrases.
no code implementations • 7 Jun 2019 • Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee
In particular, we use hypernymy information of the multiword and its constituents encoded in the form of the recently introduced Poincar\'e embeddings in addition to the distributional information to detect compositionality for noun phrases.
no code implementations • 14 Dec 2018 • Abhik Jana, Animesh Mukherjee, Pawan Goyal
The outlined method can therefore be used as a new post-hoc step to improve the precision of novel word sense detection in a robust and reliable way where the underlying framework uses a graph structure.
no code implementations • COLING 2018 • Abhik Jana, Pranjal Kanojiya, Pawan Goyal, Animesh Mukherjee
In this paper, we propose a novel two step approach -- WikiRef -- that (i) leverages the wikilinks present in a scientific Wikipedia target page and, thereby, (ii) recommends highly relevant references to be included in that target page appropriately and automatically borrowed from the reference section of the wikilinks.
no code implementations • NAACL 2018 • Abhik Jana, Pawan Goyal
), we turn a distributional thesaurus network into dense word vectors and investigate the usefulness of distributional thesaurus embedding in improving overall word representation.
no code implementations • LREC 2018 • Abhik Jana, Pawan Goyal
Distinguishing lexical relations has been a long term pursuit in natural language processing (NLP) domain.