Mohit Bansal

According to our database1, Mohit Bansal authored at least 196 papers between 2005 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Spoken language interaction with robots: Recommendations for future research.
Comput. Speech Lang., 2022

VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives.
CoRR, 2022

Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs.
CoRR, 2022

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning.
CoRR, 2022

Revealing Single Frame Bias for Video-and-Language Learning.
CoRR, 2022

Fine-grained Image Captioning with CLIP Reward.
CoRR, 2022

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners.
CoRR, 2022

FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization.
CoRR, 2022

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning.
CoRR, 2022

Efficient Few-Shot Fine-Tuning for Opinion Summarization.
CoRR, 2022

How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?
CoRR, 2022

FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations.
CoRR, 2022

ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound.
CoRR, 2022

EnvEdit: Environment Editing for Vision-and-Language Navigation.
CoRR, 2022

GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models.
CoRR, 2022

LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval.
CoRR, 2022

CAISE: Conversational Agent for Image Search and Editing.
CoRR, 2022

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers.
CoRR, 2022

Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding.
CoRR, 2021

A Proposition-Level Clustering Approach for Multi-Document Summarization.
CoRR, 2021

Analyzing the Limits of Self-Supervision in Handling Bias in Language.
CoRR, 2021

VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks.
CoRR, 2021

MLP Architectures for Vision-and-Language Modeling: An Empirical Study.
CoRR, 2021

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs.
CoRR, 2021

Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions.
CoRR, 2021

QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries.
CoRR, 2021

How Much Can CLIP Benefit Vision-and-Language Tasks?
CoRR, 2021

VIMPAC: Video Pre-Training via Masked Token Prediction and Contrastive Learning.
CoRR, 2021

An Empirical Survey of Data Augmentation for Limited Data Learning in NLP.
CoRR, 2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.
CoRR, 2021

Search Methods for Sufficient, Socially-Aligned Feature Importance Explanations with In-Distribution Counterfactuals.
CoRR, 2021

When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data.
CoRR, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.
CoRR, 2021

Disentangling Online Chats with DAG-structured LSTMs.
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation.
Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Detecting Moments and Highlights in Videos via Natural Language Queries.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Extending Multi-Document Summarization Evaluation to the Interactive Setting.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Generation and Evaluation of Visual Stories via Semantic Consistency.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dynabench: Rethinking Benchmarking in NLP.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

Unifying Vision-and-Language Tasks via Text Generation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Finding a Balanced Degree of Automation for Summary Evaluation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Improving and Simplifying Pattern Exploiting Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Continual Few-Shot Learning for Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning and Analyzing Generation Order for Undirected Sequence Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Hidden Biases in Unreliable News Detection Datasets.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

To what extent do human explanations of model behavior align with actual model behavior?
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

EmailSum: Abstractive Email Thread Summarization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Continuous Language Generative Flow.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

mTVR: Multilingual Moment Retrieval in Videos.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Analysis of Tree-Structured Architectures for Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

ERNIE-NLI: Analyzing the Impact of Domain-Specific External Knowledge on Enhanced Representations for NLI.
Proceedings of Deep Learning Inside Out: The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2021

Dual Reinforcement-Based Specification Generation for Image De-Rendering.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

FIXMYPOSE: Pose Correctional Captioning and Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Evaluating Interactive Summarization: an Expansion-Based Framework.
CoRR, 2020

SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks.
CoRR, 2020

Diagnosing the Environment Bias in Vision-and-Language Navigation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ConjNLI: Natural Language Inference Over Conjunctive Sentences.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PRover: Proof Generation for Interpretable Reasoning over Rules.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DORB: Dynamically Optimizing Multiple Rewards with Bandits.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

FENAS: Flexible and Expressive Neural Architecture Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

What is More Likely to Happen Next? Video-and-Language Future Event Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Robustifying NLI Models Against Lexical Dataset Biases.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Adversarial NLI: A New Benchmark for Natural Language Understanding.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

TVQA+: Spatio-Temporal Grounding for Video Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Modality-Balanced Models for Visual Dialogue.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ManyModalQA: Modality Disambiguation and QA over Diverse Inputs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Efficient Generation of Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping.
Proceedings of the International Conference on Robotics and Automation, 2019

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

LXMERT: Learning Cross-Modality Encoder Representations from Transformers.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Automatically Learning Data Augmentation Policies for Dialogue Tasks.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Revealing the Importance of Semantic Retrieval for Machine Reading at Scale.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Multi-Target Embodied Question Answering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Medical Visual Question Answering at Image CLEF 2019- VQA Med.
Proceedings of the Working Notes of CLEF 2019, 2019

PaperRobot: Incremental Draft Generation of Scientific Ideas.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Expressing Visual Relationships via Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Continual and Multi-Task Architecture Search.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Visual Question Answering by Referring to Generated Paragraph Captions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Analyzing Compositionality-Sensitivity of NLI Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Combining Fact Extraction and Verification with Neural Semantic Matching Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Polite Dialogue Generation Without Parallel Data.
Trans. Assoc. Comput. Linguistics, 2018

Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Robust Machine Comprehension Models via Adversarial Training.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Object Ordering with Bidirectional Matchings for Visual Reasoning.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Multi-Reward Reinforced Summarization with Saliency and Entailment.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Punny Captions: Witty Wordplay in Image Descriptions.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Incorporating Background Knowledge into Video Description Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Game-Based Video-Context Dialogue.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

TVQA: Localized, Compositional Video Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Closed-Book Training to Improve Summarization Encoder Memory.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Commonsense for Generative Multi-Hop Question Answering Tasks.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

MAttNet: Modular Attention Network for Referring Expression Comprehension.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Source-Target Inference Models for Spatial Instruction Understanding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing.
CoRR, 2017

Generating Realtime Motion Plans from Complex Natural Language Commands Using Dynamic Grounding Graphs.
CoRR, 2017

Shortcut-Stacked Sentence Encoders for Multi-Domain Inference.
Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, 2017

Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation.
Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, 2017

Hierarchically-Attentive RNN for Album Summarization and Storytelling.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Towards Improving Abstractive Summarization via Entailment Generation.
Proceedings of the Workshop on New Frontiers in Summarization, 2017

Reinforced Video Captioning with Entailment Rewards.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Video Highlight Prediction Using Audience Chat Reactions.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Joint Speaker-Listener-Reinforcer Model for Referring Expressions.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Multi-Task Video Captioning with Video and Entailment Generation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Coherent Dialogue with Attention-Based Language Models.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Contextual RNN-GANs for Abstract Reasoning Diagram Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Towards Universal Paraphrastic Sentence Embeddings.
Proceedings of the 4th International Conference on Learning Representations, 2016

Mapping Unseen Words to Task-Trained Embedding Spaces.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

The Role of Context Types and Dimensionality in Learning Word Embeddings.
Proceedings of the NAACL HLT 2016, 2016

What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment.
Proceedings of the NAACL HLT 2016, 2016

Charagram: Embedding Words and Sentences via Character n-grams.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Who did What: A Large-Scale Person-Centered Cloze Dataset.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Interpreting Neural Networks to Improve Politeness Comprehension.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Sort Story: Sorting Jumbled Images and Captions into Stories.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

We are Humor Beings: Understanding and Predicting Visual Humor.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
From Paraphrase Database to Compositional Paraphrase Model and Back.
Trans. Assoc. Comput. Linguistics, 2015

A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment.
Trans. Assoc. Comput. Linguistics, 2015

Articulated Motion Learning via Visual and Lingual Signals.
CoRR, 2015

Web-scale Surface and Syntactic n-gram Features for Dependency Parsing.
CoRR, 2015

Accurate Vision-based Vehicle Localization using Satellite Imagery.
CoRR, 2015

Deep Multilingual Correlation for Improved Word Embeddings.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Dependency Link Embeddings: Continuous Representations of Syntactic Substructures.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Machine Comprehension with Syntax, Frames, and Semantics.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

What Are You Talking About? Text-to-Image Coreference.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Tailoring Continuous Word Representations for Dependency Parsing.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Structured Learning for Taxonomy Induction with Belief Propagation.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Surface Web Semantics for Structured Natural Language Processing.
PhD thesis, 2013

Good, Great, Excellent: Global Inference of Semantic Intensities.
Trans. Assoc. Comput. Linguistics, 2013

2012
Estimating hybrid frequency moments of data streams.
J. Comb. Optim., 2012

Unsupervised Translation Sense Clustering.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Coreference Semantics from Web Features.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Mention Detection: Heuristics for the OntoNotes annotations.
Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task, 2011

Gappy Phrasal Alignment By Agreement.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

The Surprising Variance in Shortest-Derivation Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Web-Scale Features for Full-Scale Parsing.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Simple, Accurate Parsing with an All-Fragments Grammar.
Proceedings of the ACL 2010, 2010

2009
Efficient Parsing for Transducer Grammars.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

2008
The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework.
Proceedings of the COLING 2008, 2008

2007
Text processing for text-to-speech systems in Indian languages.
Proceedings of the Sixth ISCA Workshop on Speech Synthesis, 2007

2005
A telemedicine platform: a case study of Apollo hospitals telemedicine project.
Int. J. Serv. Technol. Manag., 2005


  Loading...