no code implementations • 15 Aug 2019 • Shibamouli Lahiri
"Keyword Extraction" refers to the task of automatically identifying the most relevant and informative phrases in natural language text.
no code implementations • IJCNLP 2017 • Shibamouli Lahiri, V.G.Vinod Vydiswaran, Rada Mihalcea
The system combines lexical, syntactic, and semantic features in a product-agnostic fashion to yield good classification performance.
no code implementations • WS 2016 • Shanta Phani, Shibamouli Lahiri, Arindam Biswas
In this paper, we describe the results of sentiment analysis on tweets in three Indian languages {--} Bengali, Hindi, and Tamil.
no code implementations • 13 Jul 2016 • Shanta Phani, Shibamouli Lahiri, Arindam Biswas
Authorship Attribution is a long-standing problem in Natural Language Processing.
no code implementations • 10 Jul 2016 • Shanta Phani, Shibamouli Lahiri, Arindam Biswas
In this paper we have proposed methods to analyze the readability of Bengali language texts.
no code implementations • 9 Jun 2016 • Saeid Parvandeh, Shibamouli Lahiri, Fahimeh Boroumand
In this paper we explore the problem of document summarization in Persian language from two distinct angles.
1 code implementation • 7 Jun 2015 • Shibamouli Lahiri
To date, our corpus is the largest sentence-level annotated corpus released for formality, informativeness, and implicature.
no code implementations • 8 Jul 2014 • Shanta Phani, Shibamouli Lahiri, Arindam Biswas
An inter-rater agreement study is performed for readability assessment in Bengali.
no code implementations • LREC 2014 • Vanessa Loza, Shibamouli Lahiri, Rada Mihalcea, Po-Hsiang Lai
This paper introduces a new email dataset, consisting of both single and thread emails, manually annotated with summaries and keywords.
no code implementations • 25 Jan 2014 • Shibamouli Lahiri, Sagnik Ray Choudhury, Cornelia Caragea
Keyword and keyphrase extraction is an important problem in natural language processing, with applications ranging from summarization to semantic search to document clustering.
no code implementations • 12 Nov 2013 • Shibamouli Lahiri, Rada Mihalcea
The goal of our paper is to explore properties of these complex networks that are suitable as features for machine-learning-based authorship attribution of documents.
no code implementations • 1 Sep 2011 • Shibamouli Lahiri, Xiaofei Lu
Formality is one of the most important dimensions of writing style variation.