People

Here is a list of people with whom I have collaborated. The list is generated automatically from the list of publications. There is mild non-determinism in the ordering that I will probably never fix.

Dan Roth

COGCOMPNLP: Your Swiss Army Knife for NLP
Tutorial: Integer Linear Programming Inference for Natural Language Processing
EDISON: Feature Extraction for NLP
Learning and Inference in Structured Prediction Models
Correcting Grammatical Verb Errors
Modeling Semantic Relations Expressed by Prepositions
An Inventory of Preposition Relations
Multi-core Structural SVM Training
Margin-based Decomposed Amortized Inference
Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP
On Amortizing Inference Cost for Structured Prediction
An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines)
A Joint Model for Extended Semantic Role Labeling
Structured Output Learning with Indirect Supervision
Discriminative Learning over Constrained Latent Representations
Relation Alignment for Textual Entailment Recognition
Conceptual Search and Text Categorization
Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution
Importance of Semantic Represenation: Dataless Classification
Proactive Intrusion Detection
Proactive Detection of Insider Attacks

Nathan Schneider

Preparing SNACS for Subjects and Objects
Comprehensive supersense disambiguation of English prepositions and possessives
Double trouble: the problem of construal in semantic annotation of adpositions
Adposition and Case Supersenses v2: Guidelines for English
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions
A corpus of preposition supersenses
A Hierarchy with, of, and for Preposition Supersenses

Jena D. Hwang

Preparing SNACS for Subjects and Objects
Comprehensive supersense disambiguation of English prepositions and possessives
Double trouble: the problem of construal in semantic annotation of adpositions
Adposition and Case Supersenses v2: Guidelines for English
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions
A corpus of preposition supersenses
A Hierarchy with, of, and for Preposition Supersenses

Mark Sammons

COGCOMPNLP: Your Swiss Army Knife for NLP
EDISON: Feature Extraction for NLP
An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines)
Relation Alignment for Textual Entailment Recognition
Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution

Ming-Wei Chang

Learning Shared Body Plans
Structured Output Learning with Indirect Supervision
Discriminative Learning over Constrained Latent Representations
Relation Alignment for Textual Entailment Recognition
Importance of Semantic Represenation: Dataless Classification

Tao Li

A Logic-Driven Framework for Consistency of Neural Models
Augmenting Neural Networks with First-order Logic
NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Exploiting Sentence Similarities for Better Alignments

David Atkins

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing
Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing

Dan Goldwasser

Predicting Structures in NLP: Constrained Conditional Models and Integer Linear Programming in NLP
Structured Output Learning with Indirect Supervision
Discriminative Learning over Constrained Latent Representations
Relation Alignment for Textual Entailment Recognition

Gourab Kundu

Learning and Inference in Structured Prediction Models
Margin-based Decomposed Amortized Inference
On Amortizing Inference Cost for Structured Prediction
Relation Alignment for Textual Entailment Recognition

Zac Imel

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing
Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing

Michael Tanana

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes
A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing
Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing

Tim O'Gorman

Double trouble: the problem of construal in semantic annotation of adpositions
Adposition and Case Supersenses v2: Guidelines for English
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions
A corpus of preposition supersenses

Valerio Pascucci

NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Visual Exploration of Semantic Relationships in Neural Word Embeddings

Lev Ratinov

COGCOMPNLP: Your Swiss Army Knife for NLP
Conceptual Search and Text Categorization
Importance of Semantic Represenation: Dataless Classification

Archna Bhatia

Double trouble: the problem of construal in semantic annotation of adpositions
Adposition and Case Supersenses v2: Guidelines for English
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions

Na-Rae Han

Double trouble: the problem of construal in semantic annotation of adpositions
Adposition and Case Supersenses v2: Guidelines for English
Coping with Construals in Broad-Coverage Semantic Annotation of Adpositions

Omri Abend

Preparing SNACS for Subjects and Objects
Comprehensive supersense disambiguation of English prepositions and possessives
Adposition and Case Supersenses v2: Guidelines for English

Shusen Liu

NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Visual Exploration of Semantic Relationships in Neural Word Embeddings

Peer-Timo Bremer

NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension
Visual Exploration of Semantic Relationships in Neural Word Embeddings

Christopher D. Manning

Learning Distributed Representations for Structured Output Prediction
Modeling Biological Processes for Reading Comprehension

Ali Shafiee

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbar

Kevin Hallgren

A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing
Recursive Neural Networks for Coding Therapist and Patient Behavior in Motivational Interviewing

Xingyuan Pan

Learning to Speed Up Structured Output Prediction
Expressiveness of Rectifier Networks

Jonathan Berant

On the Limits of Learning to Actively Learn Semantic Representations
Modeling Biological Processes for Reading Comprehension

Daniel Khashabi

COGCOMPNLP: Your Swiss Army Knife for NLP
EDISON: Feature Extraction for NLP

Ben Liebald

Proactive Intrusion Detection
Proactive Detection of Insider Attacks

Ari Rappoport

Preparing SNACS for Subjects and Objects
Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution

Zhimin Li

NLIZE: A Perturbation-Driven Visual Interrogation Tool for Analyzing and Interpreting Natural Language Inference Models
Visual Interrogation of Attention-Based Models for Natural Language Inference and Machine Comprehension

Christos Christodoulopoulos

COGCOMPNLP: Your Swiss Army Knife for NLP
EDISON: Feature Extraction for NLP

Neelay Shah

Proactive Intrusion Detection
Proactive Detection of Insider Attacks

Austin Blodgett

Comprehensive supersense disambiguation of English prepositions and possessives
Adposition and Case Supersenses v2: Guidelines for English

Yichu Zhou

On the Limits of Learning to Actively Learn Semantic Representations
Beyond Context: A New Perspective for Word Embeddings

Jakob Prange

Comprehensive supersense disambiguation of English prepositions and possessives
Adposition and Case Supersenses v2: Guidelines for English

Martha Palmer

A corpus of preposition supersenses
A Hierarchy with, of, and for Preposition Supersenses

John Paul Strachan

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbar

Kai-Wei Chang

Learning and Inference in Structured Prediction Models
Multi-core Structural SVM Training

Rajeev Balasubramonian

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbar

Naveen Muralimanohar

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbar

Anirban Nag

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration
ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbar

Jayaraman J. Thiagarajan

Visual Exploration of Semantic Relationships in Neural Word Embeddings

Bei Wang

Visual Exploration of Semantic Relationships in Neural Word Embeddings

Yarden Livnat

Visual Exploration of Semantic Relationships in Neural Word Embeddings

Min Du

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Feifei Li

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Guineng Zheng

DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning

Aowabin Rahman

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

Amanda D. Smith

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

Ben Zhou

COGCOMPNLP: Your Swiss Army Knife for NLP

Tom Redman

COGCOMPNLP: Your Swiss Army Knife for NLP

Nicolas Rizzolo

COGCOMPNLP: Your Swiss Army Knife for NLP

Guanheng Luo

COGCOMPNLP: Your Swiss Army Knife for NLP

Quang do

COGCOMPNLP: Your Swiss Army Knife for NLP

Chen-Tse Tsai

COGCOMPNLP: Your Swiss Army Knife for NLP

Subhro Roy

COGCOMPNLP: Your Swiss Army Knife for NLP

Stephen Mayhew

COGCOMPNLP: Your Swiss Army Knife for NLP

Zhili Feng

COGCOMPNLP: Your Swiss Army Knife for NLP

John Wieting

COGCOMPNLP: Your Swiss Army Knife for NLP

Xiaodong Yu

COGCOMPNLP: Your Swiss Army Knife for NLP

Yangqiu Song

COGCOMPNLP: Your Swiss Army Knife for NLP

Shashank Gupta

COGCOMPNLP: Your Swiss Army Knife for NLP

Shyam Upadhyay

COGCOMPNLP: Your Swiss Army Knife for NLP

Naveen Arivazhagan

COGCOMPNLP: Your Swiss Army Knife for NLP

Qiang Ning

COGCOMPNLP: Your Swiss Army Knife for NLP

Shaoshi Ling

COGCOMPNLP: Your Swiss Army Knife for NLP

Sarah Moeller

Comprehensive supersense disambiguation of English prepositions and possessives

Aviram Stern

Comprehensive supersense disambiguation of English prepositions and possessives

Adi Bitan

Comprehensive supersense disambiguation of English prepositions and possessives

Ross Walker

Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration

Annie Cherkaev

Learning In Practice: Reasoning About Quantization

Waiming Tai

Learning In Practice: Reasoning About Quantization

Jeff Phillips

Learning In Practice: Reasoning About Quantization

Jie Cao

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes

Eric Poitras

Observing Dialogue in Therapy: Categorizing and Forecasting Behavioral Codes

Adi Shalev

Preparing SNACS for Subjects and Objects

Omri Koshorek

On the Limits of Learning to Actively Learn Semantic Representations

Gabriel Stanovsky

On the Limits of Learning to Actively Learn Semantic Representations

Vivek Gupta

A Logic-Driven Framework for Consistency of Neural Models

Maitrey Mehta

A Logic-Driven Framework for Consistency of Neural Models

Roi Reichart

Extraction of Entailed Semantic Relations Through Syntax-based Comma Resolution

V.G.Vinod Vydiswaran

Relation Alignment for Textual Entailment Recognition

Tim Vieira

Relation Alignment for Textual Entailment Recognition

Nikhil Johri

Relation Alignment for Textual Entailment Recognition

Yuancheng Tu

Relation Alignment for Textual Entailment Recognition

Kevin Small

Relation Alignment for Textual Entailment Recognition

Josh Rule

Relation Alignment for Textual Entailment Recognition

Quang Do

Relation Alignment for Textual Entailment Recognition

James Clarke

An NLP Curator (or: How I Learned to Stop Worrying and Love NLP Pipelines)

Ian Endres

Learning Shared Body Plans

Derek Hoiem

Learning Shared Body Plans

Alla Rozovskaya

Correcting Grammatical Verb Errors

Sebastian Riedel

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming

Sameer Singh

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming

Tim Rocktäschel

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming

Larysa Visengeriyeva

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming

Jan Noessner

WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming

Pei-Chun Chen

Modeling Biological Processes for Reading Comprehension