34 citations · 37 across the 6 of their papers we have counts for
6 papers
'If you build they will come': Automatic Identification of News-Stakeholders to detect Party Preference in News Coverage
Alapan Kuila, Sudeshna Sarkar
The coverage of different stakeholders mentioned in the news articles significantly impacts the slant or polarity detection of the concerned news publishers. For instance, the pro-…
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation
Debanjana Kar, Sudeshna Sarkar, Pawan Goyal
Most of the existing information extraction frameworks (Wadden et al., 2019; Veysehet al., 2020) focus on sentence-level tasks and are hardly able to capture the consolidated infor…
Event Argument Extraction using Causal Knowledge Structures
Debanjana Kar, Sudeshna Sarkar, Pawan Goyal
Event Argument extraction refers to the task of extracting structured information from unstructured text for a particular event of interest. The existing works exhibit poor capabil…
Medical Entity Linking using Triplet Network
Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar +4
Entity linking (or Normalization) is an essential task in text mining that maps the entity mentions in the medical text to standard entities in a given Knowledge Base (KB). This ta…
Improving cross-lingual model transfer by chunking
Ayan Das, Sudeshna Sarkar
We present a shallow parser guided cross-lingual model transfer approach in order to address the syntactic differences between source and target languages more effectively. In this…
UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval
Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar
Cross-Language Information Retrieval (CLIR) has become an important problem to solve in the recent years due to the growth of content in multiple languages in the Web. One of the s…