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06/15/2023
Neural models for Factual Inconsistency Classification with Explanations
Factual consistency is one of the most important requirements when editi...
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05/05/2023
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER using XLM-RoBERTa
Named Entity Recognition(NER) is a task of recognizing entities at a tok...
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03/29/2023
Summarizing Indian Languages using Multilingual Transformers based Models
With the advent of multilingual models like mBART, mT5, IndicBART etc., ...
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03/22/2023
GrapeQA: GRaph Augmentation and Pruning to Enhance Question-Answering
Commonsense question-answering (QA) methods combine the power of pre-tra...
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03/22/2023
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
Lack of encyclopedic text contributors, especially on Wikipedia, makes a...
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02/09/2023
Massively Multilingual Language Models for Cross Lingual Fact Extraction from Low Resource Indian Languages
Massive knowledge graphs like Wikidata attempt to capture world knowledg...
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01/21/2023
Investigating Strategies for Clause Recommendation
Clause recommendation is the problem of recommending a clause to a legal...
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01/07/2023
Graph-based Keyword Planning for Legal Clause Generation from Topics
Generating domain-specific content such as legal clauses based on minima...
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12/31/2022
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
Multiple studies have focused on predicting the prospective popularity o...
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10/21/2022
Gui at MixMT 2022 : English-Hinglish: An MT approach for translation of code mixed data
Code-mixed machine translation has become an important task in multiling...
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09/22/2022
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages
Multiple business scenarios require an automated generation of descripti...
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02/01/2022
XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages
Multiple critical scenarios (like Wikipedia text generation given Englis...
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09/05/2021
Transformer Models for Text Coherence Assessment
Coherence is an important aspect of text quality and is crucial for ensu...
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03/10/2021
Knowledge-based Extraction of Cause-Effect Relations from Biomedical Text
We propose a knowledge-based approach for extraction of Cause-Effect (CE...
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01/28/2021
Identifying COVID-19 Fake News in Social Media
The evolution of social media platforms have empowered everyone to acces...
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01/10/2021
Summaformers @ LaySumm 20, LongSumm 20
Automatic text summarization has been widely studied as an important tas...
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01/09/2021
Task Adaptive Pretraining of Transformers for Hostility Detection
Identifying adverse and hostile content on the web and more particularly...
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01/08/2021
Leveraging Multilingual Transformers for Hate Speech Detection
Detecting and classifying instances of hate in social media text has bee...
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01/15/2020
Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations
With the ever-increasing cases of hate spread on social media platforms,...
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12/25/2019
Hybrid MemNet for Extractive Summarization
Extractive text summarization has been an extensive research problem in ...
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12/25/2019
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
Automated multi-document extractive text summarization is a widely studi...
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10/10/2019
Multi-label Categorization of Accounts of Sexism using a Neural Framework
Sexism, an injustice that subjects women and girls to enormous suffering...
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09/22/2019
Adapting Language Models for Non-Parallel Author-Stylized Rewriting
Given the recent progress in language modeling using Transformer-based n...
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08/29/2018
Attention-based Neural Text Segmentation
Text segmentation plays an important role in various Natural Language Pr...
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08/02/2018
SWDE : A Sub-Word And Document Embedding Based Engine for Clickbait Detection
In order to expand their reach and increase website ad revenue, media ou...
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02/14/2018
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets
Adverse drug reactions (ADRs) are one of the leading causes of mortality...
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02/14/2018
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets
Adverse drug reactions (ADRs) are one of the leading causes of mortality...
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09/06/2017
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction
Social media is an useful platform to share health-related information d...
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06/01/2017
Deep Learning for Hate Speech Detection in Tweets
Hate speech detection on Twitter is critical for applications like contr...
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04/04/2017
Interpretation of Semantic Tweet Representations
Research in analysis of microblogging platforms is experiencing a renewe...
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12/19/2016
Improving Tweet Representations using Temporal and User Context
In this work we propose a novel representation learning model which comp...
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11/15/2016
Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks
Research in social media analysis is experiencing a recent surge with a ...
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11/02/2016
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
Sentiment analysis (SA) using code-mixed data from social media has seve...
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01/13/2015