Franck Dernoncourt

Orcid: 0000-0002-1119-1346

Affiliations:
  • Adobe Research, Seattle, WA, USA
  • Massachusetts Institute of Technology, Cambridge, MA, USA (PhD 2017)


According to our database1, Franck Dernoncourt authored at least 205 papers between 2012 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fairness-Aware Graph Neural Networks: A Survey.
ACM Trans. Knowl. Discov. Data, July, 2024

DynaSaur: Large Language Agents Beyond Predefined Actions.
CoRR, 2024

LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding.
CoRR, 2024

GRS-QA - Graph Reasoning-Structured Question Answering Dataset.
CoRR, 2024

Personalization of Large Language Models: A Survey.
CoRR, 2024

Survey of User Interface Design and Interaction Techniques in Generative AI Applications.
CoRR, 2024

A Survey of Small Language Models.
CoRR, 2024

Taipan: Efficient and Expressive State Space Language Models with Selective Attention.
CoRR, 2024

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
CoRR, 2024

A Multi-LLM Debiasing Framework.
CoRR, 2024

ULLME: A Unified Framework for Large Language Model Embeddings with Generation-Augmented Learning.
CoRR, 2024

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback.
CoRR, 2024

KaPQA: Knowledge-Augmented Product Question-Answering.
CoRR, 2024

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models.
CoRR, 2024

LongLaMP: A Benchmark for Personalized Long-form Text Generation.
CoRR, 2024

Large Generative Graph Models.
CoRR, 2024

ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection.
CoRR, 2024

Retrieval Augmented Generation for Domain-specific Question Answering.
CoRR, 2024

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.
CoRR, 2024

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes.
CoRR, 2024

Multilingual Meta-Distillation Alignment for Semantic Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MCECR: A Novel Dataset for Multilingual Cross-Document Event Coreference Resolution.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Multi-modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Editing Partially Observable Networks via Graph Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PDFTriage: Question Answering over Long, Structured Documents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

An Analysis of Multilingual FActScore.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Scaling Up Video Summarization Pretraining with Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DocScript: Document-level Script Event Prediction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

OATS: A Challenge Dataset for Opinion Aspect Target Sentiment Joint Detection for Aspect-Based Sentiment Analysis.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Leveraging Graph Diffusion Models for Network Refinement Tasks.
CoRR, 2023

OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis.
CoRR, 2023

PDFTriage: Question Answering over Long, Structured Documents.
CoRR, 2023

Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning.
CoRR, 2023

Bias and Fairness in Large Language Models: A Survey.
CoRR, 2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning.
CoRR, 2023

Curriculum-Guided Abstractive Summarization.
CoRR, 2023

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

TaleStream: Supporting Story Ideation with Trope Knowledge.
Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Efficient Spoken Language Recognition via Multilabel Classification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

A Review of Datasets for Aspect-based Sentiment Analysis.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Learning Navigational Visual Representations with Semantic Map Supervision.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Moment Detection in Long Tutorial Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Transitioning Representations between Languages for Cross-lingual Event Detection via Langevin Dynamics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Curricular Next Conversation Prediction Pretraining for Transcript Segmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

How Small Businesses Transform PDF Agreements into Action.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification.
Proceedings of the IEEE International Conference on Big Data, 2023

Generating Labeled Data for Relation Extraction: A Meta Learning Approach with Joint GPT-2 Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MeetingQA: Extractive Question-Answering on Meeting Transcripts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MeetingBank: A Benchmark Dataset for Meeting Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Hybrid Knowledge Transfer for Improved Cross-Lingual Event Detection via Hierarchical Sample Selection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Envisioning the Next-Gen Document Reader.
Proceedings of the Workshop on Scientific Document Understanding co-located with 37th AAAI Conference on Artificial Inteligence (AAAI 2023), 2023

DocEdit: Language-Guided Document Editing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.
CoRR, 2022

Tutorial Recommendation for Livestream Videos using Discourse-Level Consistency and Ontology-Based Filtering.
CoRR, 2022

Improving Keyphrase Extraction with Data Augmentation and Information Filtering.
CoRR, 2022

Symlink: A New Dataset for Scientific Symbol-Description Linking.
CoRR, 2022

Factual Error Correction for Abstractive Summaries Using Entity Retrieval.
CoRR, 2022

Survey of Aspect-based Sentiment Analysis Datasets.
CoRR, 2022

MHMS: Multimodal Hierarchical Multimedia Summarization.
CoRR, 2022

Punctuation Restoration.
CoRR, 2022

UserNLP'22: 2022 International Workshop on User-centered Natural Language Processing.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SemEval 2022 Task 12: Symlink - Linking Mathematical Symbols to their Descriptions.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

MINION: a Large-Scale and Diverse Dataset for Multilingual Event Detection.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

DocTime: A Document-level Temporal Dependency Graph Parser.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multimodal Intent Discovery from Livestream Videos.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

BehancePR: A Punctuation Restoration Dataset for Livestreaming Video Transcript.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Event Detection for Suicide Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Fine-grained Image Captioning with CLIP Reward.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

BehanceQA: A New Dataset for Identifying Question-Answer Pairs in Video Transcripts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

BehanceCC: A ChitChat Detection Dataset For Livestreaming Video Transcripts.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

MEE: A Novel Multilingual Event Extraction Dataset.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DocFin: Multimodal Financial Prediction and Bias Mitigation using Semi-structured Documents.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Keyphrase Prediction from Video Transcripts: New Dataset and Directions.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Event Extraction in Video Transcripts.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Virtual Knowledge Graph Construction for Zero-Shot Domain-Specific Document Retrieval.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Offensive Content Detection via Synthetic Code-Switched Text.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MECI: A Multilingual Dataset for Event Causality Identification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Enriching Unsupervised User Embedding via Medical Concepts.
Proceedings of the Conference on Health, Inference, and Learning, 2022

User-Entity Differential Privacy in Learning Natural Language Models.
Proceedings of the IEEE International Conference on Big Data, 2022

Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Document-Level Event Argument Extraction via Optimal Transport.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Curriculum-guided Abstractive Summarization for Mental Health Online Posts.
Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

Acronym Extraction and Acronym Disambiguation Shared Tasks at the Scientific Document Understanding Workshop 2022.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

A Framework for Automated Text Generation Benchmarking.
Proceedings of the Workshop on Scientific Document Understanding co-located with 36th AAAI Conference on Artificial Inteligence, 2022

CAISE: Conversational Agent for Image Search and Editing.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Backpropagation-Based Decoding for Multimodal Machine Translation.
Frontiers Artif. Intell., 2021

TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts.
CoRR, 2021

User Factor Adaptation for User Embedding via Multitask Learning.
CoRR, 2021

Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides.
CoRR, 2021

Graph Learning Regularization and Transfer Learning for Few-Shot Event Detection.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DPR at SemEval-2021 Task 8: Dynamic Path Reasoning for Measurement Relation Extraction.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

Open-Domain Question Answering with Pre-Constructed Question Spaces.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

IGA: An Intent-Guided Authoring Assistant.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

QACE: Asking Questions to Evaluate an Image Caption.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning Prototype Representations Across Few-Shot Tasks for Event Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

StreamHover: Livestream Transcript Summarization and Annotation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MadDog: A Web-based System for Acronym Identification and Disambiguation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Learning by Planning: Language-Guided Global Image Editing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

UCSD-Adobe at MEDIQA 2021: Transfer Learning and Answer Sentence Selection for Medical Summarization.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

A Framework for Knowledge-Derived Query Suggestions.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Unleash GPT-2 Power for Event Detection.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PSED: A Dataset for Selecting Emphasis in Presentation Slides.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

TIMERS: Document-level Temporal Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Syntopical Graphs for Computational Argumentation Tasks.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

Interaction Matching for Long-Tail Multi-Label Classification.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020
Bayesian Optimization for Selecting Efficient Machine Learning Models.
CoRR, 2020

Efficient Deployment of Conversational Natural Language Interfaces over Databases.
CoRR, 2020

KPQA: A Metric for Generative Question Answering Using Word Weights.
CoRR, 2020

DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator.
CoRR, 2020

Variational Hierarchical Dialog Autoencoder for Dialogue State Tracking Data Augmentation.
CoRR, 2020

SemEval-2020 Task 6: Definition Extraction from Free Text with the DEFT Corpus.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Exploiting the Matching Information in the Support Set for Few Shot Event Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural Networks.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

TutorialVQA: Question Answering Dataset for Tutorial Videos.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT.
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Using Visual Feature Space as a Pivot Across Languages.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Rethinking Self-Attention: Towards Interpretability in Neural Parsing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Learning to Fuse Sentences with Transformers for Summarization.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Scene Graph Modification Based on Natural Language Commands.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Exploiting the Syntax-Model Consistency for Neural Relation Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Let Me Choose: From Verbal Context to Font Selection.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Understanding Points of Correspondence between Sentences for Abstractive Summarization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

Extensively Matching for Few-shot Learning Event Detection.
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

A Benchmark and Baseline for Language-Driven Image Editing.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Rethinking Self-Attention: An Interpretable Self-Attentive Encoder-Decoder Parser.
CoRR, 2019

Improving Slot Filling by Utilizing Contextual Information.
CoRR, 2019

Analyzing Sentence Fusion in Abstractive Summarization.
CoRR, 2019

Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Margin Call: an Accessible Web-based Text Viewer with Generated Paragraph Summaries in the Margin.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

A Markov Network Model for Natural Language Semantic Matching.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A Compare-Aggregate Model with Latent Clustering for Answer Selection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

DEFT: A corpus for definition extraction in free- and semi-structured text.
Proceedings of the 13th Linguistic Annotation Workshop, 2019

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

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Scoring Sentence Singletons and Pairs for Abstractive Summarization.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning.
Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

2018
Behind the scenes: A medical natural language processing project.
Int. J. Medical Informatics, 2018

MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

A Comparison Study of Human Evaluated Automated Highlighting Systems.
Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, 2018

A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Transfer Learning for Named-Entity Recognition with Neural Networks.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Repository of Corpora for Summarization.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Framework for Speech Recognition Benchmarking.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

A Web-based Framework for Collecting and Assessing Highlighted Sentences in a Document.
Proceedings of the COLING 2018, 2018

2017
Sequential short-text classification with neural networks.
PhD thesis, 2017

De-identification of patient notes with recurrent neural networks.
J. Am. Medical Informatics Assoc., 2017

Comparing Rule-Based and Deep Learning Models for Patient Phenotyping.
CoRR, 2017

MIT at SemEval-2017 Task 10: Relation Extraction with Convolutional Neural Networks.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

NeuroNER: an easy-to-use program for named-entity recognition based on neural networks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Adobe-MIT submission to the DSTC 4 Spoken Language Understanding pilot task.
CoRR, 2016

Mapping distributional to model-theoretic semantic spaces: a baseline.
CoRR, 2016

Optimizing neural network hyperparameters with Gaussian processes for dialog act classification.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks.
Proceedings of the NAACL HLT 2016, 2016

Robust Dialog State Tracking for Large Ontologies.
Proceedings of the Dialogues with Social Robots, 2016

Feature-Augmented Neural Networks for Patient Note De-identification.
Proceedings of the Clinical Natural Language Processing Workshop, 2016

2015
Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals.
Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014
MOOCdb: Developing Standards and Systems to Support MOOC Data Science.
CoRR, 2014

TrackMania is NP-complete.
CoRR, 2014

Replacing the computer mouse.
CoRR, 2014

2013
Efficient training set use for blood pressure prediction in a large scale learning classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Developing Data Standards and Systems for MOOC Data Science.
Proceedings of the Workshops at the 16th International Conference on Artificial Intelligence in Education AIED 2013, 2013

2012
De l'utilisation du dialogue naturel pour masquer les QCM au sein des jeux sérieux (Of the Use of Natural Dialogue to Hide MCQs in Serious Games) [in French].
Proceedings of the Joint Conference JEP-TALN-RECITAL 2012, 2012


  Loading...