Search Results for author: Shibamouli Lahiri

Found 14 papers, 1 papers with code

Identifying Usage Expression Sentences in Consumer Product Reviews

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.

Classification General Classification

Sentiment Analysis of Tweets in Three Indian Languages

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.

General Classification Opinion Mining +1

A Supervised Authorship Attribution Framework for Bengali Language

no code implementations13 Jul 2016 Shanta Phani, Shibamouli Lahiri, Arindam Biswas

Authorship Attribution is a long-standing problem in Natural Language Processing.

A New Bengali Readability Score

no code implementations10 Jul 2016 Shanta Phani, Shibamouli Lahiri, Arindam Biswas

In this paper we have proposed methods to analyze the readability of Bengali language texts.

PerSum: Novel Systems for Document Summarization in Persian

no code implementations9 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.

Document Summarization

SQUINKY! A Corpus of Sentence-level Formality, Informativeness, and Implicature

1 code implementation7 Jun 2015 Shibamouli Lahiri

To date, our corpus is the largest sentence-level annotated corpus released for formality, informativeness, and implicature.

Informativeness Sentence

Inter-Rater Agreement Study on Readability Assessment in Bengali

no code implementations8 Jul 2014 Shanta Phani, Shibamouli Lahiri, Arindam Biswas

An inter-rater agreement study is performed for readability assessment in Bengali.

Keyword and Keyphrase Extraction Using Centrality Measures on Collocation Networks

no code implementations25 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.

Clustering Keyphrase Extraction

Authorship Attribution Using Word Network Features

no code implementations12 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.

BIG-bench Machine Learning

Inter-rater Agreement on Sentence Formality

no code implementations1 Sep 2011 Shibamouli Lahiri, Xiaofei Lu

Formality is one of the most important dimensions of writing style variation.


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