research
∙
07/28/2023
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes
Query auto-completion (QAC) aims at suggesting plausible completions for...
share
research
∙
06/29/2023
Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
We study visual question answering in a setting where the answer has to ...
research
∙
06/15/2023
Neural models for Factual Inconsistency Classification with Explanations
Factual consistency is one of the most important requirements when editi...
research
∙
05/24/2023
Frugal Prompting for Dialog Models
The use of large language models (LLMs) in natural language processing (...
research
∙
05/23/2023
On Robustness of Finetuned Transformer-based NLP Models
Transformer-based pretrained models like BERT, GPT-2 and T5 have been fi...
research
∙
05/06/2023
HateMM: A Multi-Modal Dataset for Hate Video Classification
Hate speech has become one of the most significant issues in modern soci...
research
∙
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...
research
∙
03/09/2023
Unsupervised Language agnostic WER Standardization
Word error rate (WER) is a standard metric for the evaluation of Automat...
research
∙
02/16/2023
Syntactic Structure Processing in the Brain while Listening
Syntactic parsing is the task of assigning a syntactic structure to a se...
research
∙
12/31/2022
Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents
Multiple studies have focused on predicting the prospective popularity o...
research
∙
12/15/2022
Joint processing of linguistic properties in brains and language models
Language models have been shown to be very effective in predicting brain...
research
∙
09/22/2022
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages
Multiple business scenarios require an automated generation of descripti...
research
∙
05/21/2022
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models
Natural Language Generation (NLG) represents a large collection of tasks...
research
∙
05/03/2022
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?
Several popular Transformer based language models have been found to be ...
research
∙
04/18/2022
Visio-Linguistic Brain Encoding
Enabling effective brain-computer interfaces requires understanding how ...
research
∙
04/18/2022
Cross-view Brain Decoding
How the brain captures the meaning of linguistic stimuli across multiple...
research
∙
03/17/2022
DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection
While transformers demonstrate impressive performance on many knowledge ...
research
∙
02/08/2022
NEWSKVQA: Knowledge-Aware News Video Question Answering
Answering questions in the context of videos can be helpful in video ind...
research
∙
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...
research
∙
12/04/2021
Representation Learning for Conversational Data using Discourse Mutual Information Maximization
Although many pretrained models exist for text or images, there have bee...
research
∙
09/05/2021
Transformer Models for Text Coherence Assessment
Coherence is an important aspect of text quality and is crucial for ensu...
research
∙
08/19/2021
Efficient remedies for outlier detection with variational autoencoders
Deep networks often make confident, yet incorrect, predictions when test...
research
∙
04/13/2021
"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning
The exponential rise of online social media has enabled the creation, di...
research
∙
03/24/2021
Discovering Multiple Design Approaches in Programming Assignment Submissions
In this paper, we present a novel approach of automated evaluation of pr...
research
∙
01/10/2021
Summaformers @ LaySumm 20, LongSumm 20
Automatic text summarization has been widely studied as an important tas...
research
∙
12/18/2020
Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews
Although several automatic itinerary generation services have made trave...
research
∙
09/30/2020
AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts
While extensive popularity of online social media platforms has made inf...
research
∙
08/12/2020
Compression of Deep Learning Models for Text: A Survey
In recent years, the fields of natural language processing (NLP) and inf...
research
∙
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,...
research
∙
12/25/2019
Hybrid MemNet for Extractive Summarization
Extractive text summarization has been an extensive research problem in ...
research
∙
12/25/2019
Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization
Automated multi-document extractive text summarization is a widely studi...
research
∙
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...
research
∙
03/12/2019
What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter
Social network and publishing platforms, such as Twitter, support the co...
research
∙
12/23/2018
Elites Tweet? Characterizing the Twitter Verified User Network
Social network and publishing platforms, such as Twitter, support the co...
research
∙
08/29/2018
Attention-based Neural Text Segmentation
Text segmentation plays an important role in various Natural Language Pr...
research
∙
04/02/2018
Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks
Cybercriminals abuse Online Social Networks (OSNs) to lure victims into ...
research
∙
02/18/2018
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information
Low-rank tensor completion is a well-studied problem and has application...
research
∙
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...
research
∙
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...
research
∙
11/11/2017
STWalk: Learning Trajectory Representations in Temporal Graphs
Analyzing the temporal behavior of nodes in time-varying graphs is usefu...
research
∙
06/01/2017
Deep Learning for Hate Speech Detection in Tweets
Hate speech detection on Twitter is critical for applications like contr...
research
∙
04/04/2017
Interpretation of Semantic Tweet Representations
Research in analysis of microblogging platforms is experiencing a renewe...
research
∙
12/19/2016
Improving Tweet Representations using Temporal and User Context
In this work we propose a novel representation learning model which comp...
research
∙
11/15/2016