research
∙
05/10/2023
Vārta: A Large-Scale Headline-Generation Dataset for Indic Languages
We present Vārta, a large-scale multilingual dataset for headline genera...
share
research
∙
12/11/2022
IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages
In this work, we introduce IndicXTREME, a benchmark consisting of nine d...
research
∙
08/07/2021
Multilingual Compositional Wikidata Questions
Semantic parsing allows humans to leverage vast knowledge resources thro...
research
∙
06/06/2021
Itihasa: A large-scale corpus for Sanskrit to English translation
This work introduces Itihasa, a large-scale translation dataset containi...
research
∙
06/02/2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Model-agnostic meta-learning (MAML) has been recently put forth as a str...
research
∙
05/25/2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization
Professional summaries are written with document-level information, such...
research
∙
10/12/2020
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards
Coreference resolution and semantic role labeling are NLP tasks that cap...
research
∙
09/10/2019
Compositional Generalization in Image Captioning
Image captioning models are usually evaluated on their ability to descri...
research
∙
09/05/2019
Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Unresolved coreference is a bottleneck for relation extraction, and high...
research
∙
08/29/2019
Ellipsis and Coreference Resolution as Question Answering
Coreference and many forms of ellipsis are similar to reading comprehens...
research
∙
08/14/2019
X-WikiRE: A Large, Multilingual Resource for Relation Extraction as Machine Comprehension
Although the vast majority of knowledge bases KBs are heavily biased tow...
research
∙
08/14/2019
X-WikiRE: A Large, Multilingual Resource for Relation Extraction asMachine Comprehension
Although the vast majority of knowledge bases KBs are heavily biased tow...
research
∙
06/25/2019
Model-based annotation of coreference
Humans do not make inferences over texts, but over models of what texts ...
research
∙
05/07/2019
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Deep learning is one of the fastest growing technologies in computer sci...
research
∙
11/04/2018
Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization
Fooling deep neural networks with adversarial input have exposed a signi...
research
∙
04/21/2018
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension
We propose DuoRC, a novel dataset for Reading Comprehension (RC) that mo...
research
∙
01/04/2018
DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging
For a given software bug report, identifying an appropriate developer wh...
research
∙
11/02/2017
Hi, how can I help you?: Automating enterprise IT support help desks
Question answering is one of the primary challenges of natural language ...
research
∙
08/16/2017
Fault in your stars: An Analysis of Android App Reviews
Mobile app distribution platforms such as Google Play Store allow users ...
research
∙
08/16/2017
mAnI: Movie Amalgamation using Neural Imitation
Cross-modal data retrieval has been the basis of various creative tasks ...
research
∙
08/16/2017
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models
Traditional software engineering programming paradigms are mostly object...
research
∙
03/30/2016
