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09/19/2023
Multimodal Modeling For Spoken Language Identification
Spoken language identification refers to the task of automatically predi...
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06/07/2023
Label Aware Speech Representation Learning For Language Identification
Speech representation learning approaches for non-semantic tasks such as...
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05/19/2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Data scarcity is a crucial issue for the development of highly multiling...
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03/22/2023
Salient Span Masking for Temporal Understanding
Salient Span Masking (SSM) has shown itself to be an effective strategy ...
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11/21/2022
Cultural Re-contextualization of Fairness Research in Language Technologies in India
Recent research has revealed undesirable biases in NLP data and models. ...
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11/14/2022
UGIF: UI Grounded Instruction Following
New smartphone users have difficulty engaging with it and often use only...
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10/13/2022
Bootstrapping Multilingual Semantic Parsers using Large Language Models
Despite cross-lingual generalization demonstrated by pre-trained multili...
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10/12/2022
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Recent years have witnessed much interest in temporal reasoning over kno...
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09/25/2022
Re-contextualizing Fairness in NLP: The Case of India
Recent research has revealed undesirable biases in NLP data and models. ...
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09/14/2022
Parameter-Efficient Finetuning for Robust Continual Multilingual Learning
NLU systems deployed in the real world are expected to be regularly upda...
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05/25/2022
Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages
In order for NLP technology to be widely applicable and useful, it needs...
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03/03/2022
Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages
Pre-trained multilingual language models such as mBERT and XLM-R have de...
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10/27/2021
When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer
While recent work on multilingual language models has demonstrated their...
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10/14/2021
Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages
Style transfer is the task of rewriting an input sentence into a target ...
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09/29/2021
Multilingual Fact Linking
Knowledge-intensive NLP tasks can benefit from linking natural language ...
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06/07/2021
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study
Recent research in multilingual language models (LM) has demonstrated th...
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06/05/2021
MergeDistill: Merging Pre-trained Language Models using Distillation
Pre-trained multilingual language models (LMs) have achieved state-of-th...
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06/03/2021
Reordering Examples Helps during Priming-based Few-Shot Learning
The ability to learn from limited data, or few-shot learning, is a desir...
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06/03/2021
Question Answering Over Temporal Knowledge Graphs
Temporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs...
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03/19/2021
MuRIL: Multilingual Representations for Indian Languages
India is a multilingual society with 1369 rationalized languages and dia...
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12/26/2020
Spatial Reasoning from Natural Language Instructions for Robot Manipulation
Robots that can manipulate objects in unstructured environments and coll...
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05/25/2020
NILE : Natural Language Inference with Faithful Natural Language Explanations
The recent growth in the popularity and success of deep learning models ...
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05/18/2020
Syntax-guided Controlled Generation of Paraphrases
Given a sentence (e.g., "I like mangoes") and a constraint (e.g., sentim...
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11/18/2019
Improving Document Classification with Multi-Sense Embeddings
Efficient representation of text documents is an important building bloc...
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11/10/2019
A Re-evaluation of Knowledge Graph Completion Methods
Knowledge Graph Completion (KGC) aims at automatically predicting missin...
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11/08/2019
Composition-based Multi-Relational Graph Convolutional Networks
Graph Convolutional Networks (GCNs) have recently been shown to be quite...
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11/01/2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Most existing knowledge graphs suffer from incompleteness, which can be ...
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06/27/2019
Relating Simple Sentence Representations in Deep Neural Networks and the Brain
What is the relationship between sentence representations learned by dee...
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02/01/2019
Dating Documents using Graph Convolution Networks
Document date is essential for many important tasks, such as document re...
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02/01/2019
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
Open Information Extraction (OpenIE) methods extract (noun phrase, relat...
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01/24/2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Predicting properties of nodes in a graph is an important problem with a...
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01/21/2019
AD3: Attentive Deep Document Dater
Knowledge of the creation date of documents facilitates several tasks su...
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12/11/2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Distantly-supervised Relation Extraction (RE) methods train an extractor...
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11/14/2018
MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction
Developing accurate, transferable and computationally inexpensive machin...
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09/12/2018
Graph Convolutional Networks based Word Embeddings
Recently, word embeddings have been widely adopted across several NLP ap...
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09/07/2018
HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification
Graph-based semi-supervised learning (SSL) is an important learning prob...
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05/29/2018
Lovasz Convolutional Networks
Semi-supervised learning on graph structured data has received significa...
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04/19/2018
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention
Relation extraction is the problem of classifying the relationship betwe...
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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...
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10/26/2017
CANDiS: Coupled & Attention-Driven Neural Distant Supervision
Distant Supervision for Relation Extraction uses heuristically aligned t...
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07/06/2017
Event Schema Induction using Tensor Factorization with Back-off
The goal of Event Schema Induction(ESI) is to identify schemas of events...
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10/21/2016
KGEval: Estimating Accuracy of Automatically Constructed Knowledge Graphs
Automatic construction of large knowledge graphs (KG) by mining web-scal...
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05/12/2016
Relation Schema Induction using Tensor Factorization with Side Information
Given a set of documents from a specific domain (e.g., medical research ...
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12/06/2015
Want Answers? A Reddit Inspired Study on How to Pose Questions
Questions form an integral part of our everyday communication, both offl...
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09/09/2009
