34 citations · 50 across the 12 of their papers we have counts for
12 papers · 1 filter
Text Takes Over: A Study of Modality Bias in Multimodal Intent Detection
Ankan Mullick, Saransh Sharma, Abhik Jana +1
The rise of multimodal data, integrating text, audio, and visuals, has created new opportunities for studying multimodal tasks such as intent detection. This work investigates the…
CrowdCounter: A benchmark type-specific multi-target counterspeech dataset
Punyajoy Saha, Abhilash Datta, Abhik Jana +1
Counterspeech presents a viable alternative to banning or suspending users for hate speech while upholding freedom of expression. However, writing effective counterspeech is challe…
On Zero-Shot Counterspeech Generation by LLMs
Punyajoy Saha, Aalok Agrawal, Abhik Jana +2
With the emergence of numerous Large Language Models (LLM), the usage of such models in various Natural Language Processing (NLP) applications is increasing extensively. Counterspe…
Natural Language Processing in the Legal Domain
Dirk Hartung, Daniel Martin Katz, Michael J. Bommarito +3
We summarize the current state of the field of NLP & Law with a specific focus on recent technical and substantive developments. To support our analysis, we construct and analyze a…
LexGLUE: A Benchmark Dataset for Legal Language Understanding in English
Ilias Chalkidis, Abhik Jana, Dirk Hartung +4
Laws and their interpretations, legal arguments and agreements\ are typically expressed in writing, leading to the production of vast corpora of legal text. Their analysis, which i…
Using Distributional Thesaurus Embedding for Co-hyponymy Detection
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. In this paper, we investigate whe…
Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs
Soumya Sharma, Bishal Santra, Abhik Jana +3
Recently, biomedical version of embeddings obtained from language models such as BioELMo have shown state-of-the-art results for the textual inference task in the medical domain. I…
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
Abhik Jana, Dmitry Puzyrev, Alexander Panchenko +3
The compositionality degree of multiword expressions indicates to what extent the meaning of a phrase can be derived from the meaning of its constituents and their grammatical rela…
Detecting Reliable Novel Word Senses: A Network-Centric Approach
Abhik Jana, Animesh Mukherjee, Pawan Goyal
In this era of Big Data, due to expeditious exchange of information on the web, words are being used to denote newer meanings, causing linguistic shift. With the recent availabilit…
WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages
Abhik Jana, Pranjal Kanojiya, Pawan Goyal +1
The exponential increase in the usage of Wikipedia as a key source of scientific knowledge among the researchers is making it absolutely necessary to metamorphose this knowledge re…
Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?
Abhik Jana, Pawan Goyal
Distributed representations of words learned from text have proved to be successful in various natural language processing tasks in recent times. While some methods represent words…
Network Features Based Co-hyponymy Detection
Abhik Jana, Pawan Goyal
Distinguishing lexical relations has been a long term pursuit in natural language processing (NLP) domain. Recently, in order to detect lexical relations like hypernymy, meronymy,…