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Author Masking through Translation
TLDR
This notebook paper documents the approach adopted by the team for Author Masking Task in PAN 2016, which uses a simple translation based approach for obfuscating the identity of author of the text. Expand
FIRE 2019 AILA Track: Artificial Intelligence for Legal Assistance
The FIRE 2019 AILA track focused on creating a framework for evaluating different methods of retrieving relevant prior/precedent cases and statutes given a factual scenario. There were two tasks forExpand
Large Scale Quantitative Analysis of three Indo-Aryan Languages
TLDR
A thorough quantitative analysis of large scale media text of three Indo-Aryan languages, viz. Expand
Effective aggregation of various summarization techniques
TLDR
This work examines the roles of three principle components of an extractive summarization technique: sentence ranking algorithm, sentence similarity metric and text representation scheme and shows that using a combination of several different sentence similarity measures significantly improves performance of the resultant meta-system. Expand
FIRE 2020 AILA Track: Artificial Intelligence for Legal Assistance
TLDR
The FIRE 2020 AILA track aimed at developing datasets and frameworks for the following two tasks: Precedent and Statute Retrieval and Rhetorical Role Labelling for legal judgements. Expand
From Extractive to Abstractive Summarization: A Journey
TLDR
The availability of large documentsummary corpora have opened up new possibilities for using statistical text generation techniques for abstractive summarization, and an argument in favor of this approach is presented. Expand
From Extractive to Abstractive Summarization: A Journey
TLDR
LIAR: a new, publicly available dataset for fake news detection is presented, collected a decade-long, 12.8 K manually labeled short statements in various contexts from POLITIFACT.COM, which provides detailed analysis report and links to source documents for each case. Expand
Post-Proceedings of the 4th and 5th Workshops of the Forum for Information Retrieval Evaluation
TLDR
The post proceedings for FIRE '12 and FIRE '13 was held at Indian Statistical Institute, Kolkata, India and India International Centre, New Delhi, India respectively. Expand
Attention based Sentence Extraction from Scientific Articles using Pseudo-Labeled data
TLDR
A new attention based deep learning architecture that jointly learns to identify important content, as well as the cue phrases that are indicative of summary worthy sentences, and a new context embedding technique for determining the focus of a given paper using topic models. Expand
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
TLDR
This work carries out user studies to systematically assess how people respond to different types of predictive uncertainty i.e., posterior predictive distributions with different shapes and variances, in the context of ML assisted decision making, and demonstrates that uncertainty is an effective tool for persuading humans to agree with model predictions. Expand
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