Rohini K. Srihari

Also published as: K. Rohini Srihari, Rohini Srihari


2020

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Self-Supervised Claim Identification for Automated Fact Checking
Archita Pathak | Mohammad Abuzar Shaikh | Rohini Srihari
Proceedings of the 17th International Conference on Natural Language Processing (ICON)

We propose a novel, attention-based self-supervised approach to identify “claim-worthy” sentences in a fake news article, an important first step in automated fact-checking. We leverage aboutness of headline and content using attention mechanism for this task. The identified claims can be used for downstream task of claim verification for which we are releasing a benchmark dataset of manually selected compelling articles with veracity labels and associated evidence. This work goes beyond stylistic analysis to identifying content that influences reader belief. Experiments with three datasets show the strength of our model.

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Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines
Sougata Saha | Souvik Das | Prashi Khurana | Rohini Srihari
Proceedings of the Fifth Social Media Mining for Health Applications Workshop & Shared Task

This paper details a system designed for Social Media Mining for Health Applications (SMM4H) Shared Task 2020. We specifically describe the systems designed to solve task 2: Automatic classification of multilingual tweets that report adverse effects, and task 3: Automatic extraction and normalization of adverse effects in English tweets. Fine tuning RoBERTa large for classifying English tweets enables us to achieve a F1 score of 56%, which is an increase of +10% compared to the average F1 score for all the submissions. Using BERT based NER and question answering, we are able to achieve a F1 score of 57.6% for extracting adverse reaction mentions from tweets, which is an increase of +1.2% compared to the average F1 score for all the submissions.

2019

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BREAKING! Presenting Fake News Corpus for Automated Fact Checking
Archita Pathak | Rohini Srihari
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

Popular fake news articles spread faster than mainstream articles on the same topic which renders manual fact checking inefficient. At the same time, creating tools for automatic detection is as challenging due to lack of dataset containing articles which present fake or manipulated stories as compelling facts. In this paper, we introduce manually verified corpus of compelling fake and questionable news articles on the USA politics, containing around 700 articles from Aug-Nov, 2016. We present various analyses on this corpus and finally implement classification model based on linguistic features. This work is still in progress as we plan to extend the dataset in the future and use it for our approach towards automated fake news detection.

2017

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Summarizing World Speak : A Preliminary Graph Based Approach
Nikhil Londhe | Rohini Srihari
Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017

Social media platforms play a crucial role in piecing together global news stories via their corresponding online discussions. Thus, in this work, we introduce the problem of automatically summarizing massively multilingual microblog text streams. We discuss the challenges involved in both generating summaries as well as evaluating them. We introduce a simple word graph based approach that utilizes node neighborhoods to identify keyphrases and thus in turn, pick summary candidates. We also demonstrate the effectiveness of our method in generating precise summaries as compared to other popular techniques.

2016

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Time-Independent and Language-Independent Extraction of Multiword Expressions From Twitter
Nikhil Londhe | Rohini Srihari | Vishrawas Gopalakrishnan
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Multiword Expressions (MWEs) are crucial lexico-semantic units in any language. However, most work on MWEs has been focused on standard monolingual corpora. In this work, we examine MWE usage on Twitter - an inherently multilingual medium with an extremely short average text length that is often replete with grammatical errors. In this work we present a new graph based, language agnostic method for automatically extracting MWEs from tweets. We show how our method outperforms standard Association Measures. We also present a novel unsupervised evaluation technique to ascertain the accuracy of MWE extraction.

2012

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Analyzing Urdu Social Media for Sentiments using Transfer Learning with Controlled Translations
Smruthi Mukund | Rohini Srihari
Proceedings of the Second Workshop on Language in Social Media

2011

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Using Sequence Kernels to identify Opinion Entities in Urdu
Smruthi Mukund | Debanjan Ghosh | Rohini Srihari
Proceedings of the Fifteenth Conference on Computational Natural Language Learning

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Unsupervised Russian POS Tagging with Appropriate Context
Li Yang | Erik Peterson | John Chen | Yana Petrova | Rohini Srihari
Proceedings of the Fifth International Workshop On Cross Lingual Information Access

2010

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Using Cross-Lingual Projections to Generate Semantic Role Labeled Annotated Corpus for Urdu - A Resource Poor Language
Smruthi Mukund | Debanjan Ghosh | Rohini Srihari
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

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A Vector Space Model for Subjectivity Classification in Urdu aided by Co-Training
Smruthi Mukund | Rohini Srihari
Coling 2010: Posters

2009

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NE Tagging for Urdu based on Bootstrap POS Learning
Smruthi Mukund | Rohini K. Srihari
Proceedings of the Third International Workshop on Cross Lingual Information Access: Addressing the Information Need of Multilingual Societies (CLIAWS3)

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Making Semantic Topicality Robust Through Term Abstraction
Paul M. Heider | Rohini K. Srihari
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions (SEW-2009)

2006

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Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier
Cassandre Creswell | Matthew J. Beal | John Chen | Thomas L. Cornell | Lars Nilsson | Rohini K. Srihari
Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions

2005

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Word Independent Context Pair Classification Model for Word Sense Disambiguation
Cheng Niu | Wei Li | Rohini K. Srihari | Huifeng Li
Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)

2004

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Context clustering for Word Sense Disambiguation based on modeling pairwise context similarities
Cheng Niu | Wei Li | Rohini K. Srihari | Huifeng Li | Laurie Crist
Proceedings of SENSEVAL-3, the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text

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Weakly Supervised Learning for Cross-document Person Name Disambiguation Supported by Information Extraction
Cheng Niu | Wei Li | Rohini K. Srihari
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL-04)

2003

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Bootstrapping for Named Entity Tagging Using Concept-based Seeds
Cheng Niu | Wei Li | Jihong Ding | Rohini K. Srihari
Companion Volume of the Proceedings of HLT-NAACL 2003 - Short Papers

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A Bootstrapping Approach to Named Entity Classification Using Successive Learners
Cheng Niu | Wei Li | Jihong Ding | Rohini Srihari
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

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An Expert Lexicon Approach to Identifying English Phrasal Verbs
Wei Li | Xiuhong Zhang | Cheng Niu | Yuankai Jiang | Rohini K. Srihari
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics

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InfoXtract location normalization: a hybrid approach to geographic references in information extraction
Huifeng Li | K. Rohini Srihari | Cheng Niu | Wei Li
Proceedings of the HLT-NAACL 2003 Workshop on Analysis of Geographic References

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InfoXtract: A Customizable Intermediate Level Information Extraction Engine
Rohini K. Srihari | Wei Li | Cheng Niu | Thomas Cornell
Proceedings of the HLT-NAACL 2003 Workshop on Software Engineering and Architecture of Language Technology Systems (SEALTS)

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Question Answering on a Case Insensitive Corpus
Wei Li | Rohini Srihari | Cheng Niu | Xiaoge Li
Proceedings of the ACL 2003 Workshop on Multilingual Summarization and Question Answering

2002

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Extracting Exact Answers to Questions Based on Structural Links
Wei Li | Rohini K. Srihari | Xiaoge Li | M. Srikanth | Xiuhong Zhang | Cheng Niu
COLING-02: Multilingual Summarization and Question Answering

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Location Normalization for Information Extraction
Huifeng Li | Rohini K. Srihari | Cheng Niu | Wei Li
COLING 2002: The 19th International Conference on Computational Linguistics

2000

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A Question Answering System Supported by Information Extraction
Rohini Srihari | Wei Li
Sixth Applied Natural Language Processing Conference

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A Hybrid Approach for Named Entity and Sub-Type Tagging
Rohini Srihari
Sixth Applied Natural Language Processing Conference

1994

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Use of Lexical and Syntactic Techniques in Recognizing Handwritten Text
Rohini K. Srihari
Human Language Technology: Proceedings of a Workshop held at Plainsboro, New Jersey, March 8-11, 1994