Hannaneh Hajishirzi

Affiliations:
  • Paul G. Allen School of Computer Science, Seattle, WA, USA


According to our database1, Hannaneh Hajishirzi authored at least 199 papers between 2007 and 2024.

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Bibliography

2024
Data Engineering for Scaling Language Models to 128K Context.
CoRR, 2024

Do Membership Inference Attacks Work on Large Language Models?
CoRR, 2024

OLMo: Accelerating the Science of Language Models.
CoRR, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
CoRR, 2024

Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens.
CoRR, 2024

APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference.
CoRR, 2024

Fine-grained Hallucination Detection and Editing for Language Models.
CoRR, 2024

2023
Paloma: A Benchmark for Evaluating Language Model Fit.
CoRR, 2023

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.
CoRR, 2023

What's In My Big Data?
CoRR, 2023

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.
CoRR, 2023

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.
CoRR, 2023

MatFormer: Nested Transformer for Elastic Inference.
CoRR, 2023

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
CoRR, 2023

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models.
CoRR, 2023

Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding.
CoRR, 2023

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore.
CoRR, 2023

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.
CoRR, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.
CoRR, 2023

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.
CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.
CoRR, 2023

Inference-time Re-ranker Relevance Feedback for Neural Information Retrieval.
CoRR, 2023

ART: Automatic multi-step reasoning and tool-use for large language models.
CoRR, 2023

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GenEval: An object-focused framework for evaluating text-to-image alignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling.
Proceedings of the International Conference on Machine Learning, 2023

Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

AGRO: Adversarial discovery of error-prone Groups for Robust Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Editing models with task arithmetic.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Machine Reading Comprehension using Case-based Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

TaskWeb: Selecting Better Source Tasks for Multi-task NLP.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Crystal: Introspective Reasoners Reinforced with Self-Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Elaboration-Generating Commonsense Question Answering at Scale.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Self-Instruct: Aligning Language Models with Self-Generated Instructions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Nonparametric Masked Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Data-Efficient Finetuning Using Cross-Task Nearest Neighbors.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PuMer: Pruning and Merging Tokens for Efficient Vision Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Task-aware Retrieval with Instructions.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CREPE: Open-Domain Question Answering with False Presuppositions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
DiCENet: Dimension-Wise Convolutions for Efficient Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

End-to-End diagnosis of breast biopsy images with transformers.
Medical Image Anal., 2022

Self-Instruct: Aligning Language Model with Self Generated Instructions.
CoRR, 2022

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories.
CoRR, 2022

HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation.
CoRR, 2022

Editing Models with Task Arithmetic.
CoRR, 2022

INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions.
CoRR, 2022

Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing.
CoRR, 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.
CoRR, 2022

UnifiedQA-v2: Stronger Generalization via Broader Cross-Format Training.
CoRR, 2022

NaturalProver: Grounded Mathematical Proof Generation with Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Patching open-vocabulary models by interpolating weights.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MultiVerS: Improving scientific claim verification with weak supervision and full-document context.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MetaICL: Learning to Learn In Context.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Aligning to Social Norms and Values in Interactive Narratives.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Knowledge Base Question Answering by Case-based Reasoning over Subgraphs.
Proceedings of the International Conference on Machine Learning, 2022

CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SciFact-Open: Towards open-domain scientific claim verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring The Landscape of Distributional Robustness for Question Answering Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Robust fine-tuning of zero-shot models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FaVIQ: FAct Verification from Information-seeking Questions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Cross-Task Generalization via Natural Language Crowdsourcing Instructions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Noisy Channel Language Model Prompting for Few-Shot Text Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Reframing Instructional Prompts to GPTk's Language.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Generated Knowledge Prompting for Commonsense Reasoning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts.
CoRR, 2021

LongChecker: Improving scientific claim verification by modeling full-abstract context.
CoRR, 2021

Reframing Instructional Prompts to GPTk's Language.
CoRR, 2021

Robust fine-tuning of zero-shot models.
CoRR, 2021

Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions.
CoRR, 2021

Probing Across Time: What Does RoBERTa Know and When?
CoRR, 2021

NaturalProofs: Mathematical Theorem Proving in Natural Language.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Probing Contextual Language Models for Common Ground with Visual Representations.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

XOR QA: Cross-lingual Open-Retrieval Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

MultiModalQA: complex question answering over text, tables and images.
Proceedings of the 9th International Conference on Learning Representations, 2021

DeLighT: Deep and Light-weight Transformer.
Proceedings of the 9th International Conference on Learning Representations, 2021

DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Joint Passage Ranking for Diverse Multi-Answer Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Probing Across Time: What Does RoBERTa Know and When?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

GooAQ: Open Question Answering with Diverse Answer Types.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Efficient Passage Retrieval with Hashing for Open-domain Question Answering.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Prompting Contrastive Explanations for Commonsense Reasoning Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

A Controllable Model of Grounded Response Generation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers.
CoRR, 2020

Extracting Summary Knowledge Graphs from Long Documents.
CoRR, 2020

DeLighT: Very Deep and Light-weight Transformer.
CoRR, 2020

HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images.
CoRR, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.
CoRR, 2020

Probing Text Models for Common Ground with Visual Representations.
CoRR, 2020

Evaluating NLP Models via Contrast Sets.
CoRR, 2020

Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping.
CoRR, 2020

Web-scale Knowledge Collection.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020


Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering.
Proceedings of the 8th International Conference on Learning Representations, 2020

Fact or Fiction: Verifying Scientific Claims.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

MedICaT: A Dataset of Medical Images, Captions, and Textual References.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

AmbigQA: Answering Ambiguous Open-domain Questions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

UnifiedQA: Crossing Format Boundaries With a Single QA System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


Procedural Reading Comprehension with Attribute-Aware Context Flow.
Proceedings of the Conference on Automated Knowledge Base Construction, 2020

ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

SciREX: A Challenge Dataset for Document-Level Information Extraction.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Logic-Guided Data Augmentation and Regularization for Consistent Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
DeFINE: DEep Factorized INput Word Embeddings for Neural Sequence Modeling.
CoRR, 2019

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering.
CoRR, 2019

Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering.
CoRR, 2019

Question Answering is a Format; When is it Useful?
CoRR, 2019

SemEval-2019 Task 10: Math Question Answering.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

A general framework for information extraction using dynamic span graphs.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Text Generation from Knowledge Graphs with Graph Transformers.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Entity, Relation, and Event Extraction with Contextualized Span Representations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Discrete Hard EM Approach for Weakly 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

Mixture Content Selection for Diverse Sequence Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Potential-Based Advice for Stochastic Policy Learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-hop Reading Comprehension through Question Decomposition and Rescoring.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Compositional Questions Do Not Necessitate Multi-hop Reasoning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

On Making Reading Comprehension More Comprehensive.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018
Scientific Relation Extraction with Selectively Incorporated Concept Embeddings.
CoRR, 2018

Data-Driven Methods for Solving Algebra Word Problems.
CoRR, 2018

The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

Semi-Supervised Event Extraction with Paraphrase Clusters.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Neural Speed Reading via Skim-RNN.
Proceedings of the 6th International Conference on Learning Representations, 2018

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Pyramidal Recurrent Unit for Language Modeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Identifying Most Walkable Direction for Navigation in an Outdoor Environment.
CoRR, 2017

Query-Reduction Networks for Question Answering.
Proceedings of the 5th International Conference on Learning Representations, 2017

Bidirectional Attention Flow for Machine Comprehension.
Proceedings of the 5th International Conference on Learning Representations, 2017

Scientific Information Extraction with Semi-supervised Neural Tagging.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Question Answering through Transfer Learning from Large Fine-grained Supervision Data.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Query-Regression Networks for Machine Comprehension.
CoRR, 2016

View-Driven Deduplication with Active Learning.
CoRR, 2016

University of Washington TAC-KBP 2016 System Description.
Proceedings of the 2016 Text Analysis Conference, 2016

MAWPS: A Math Word Problem Repository.
Proceedings of the NAACL HLT 2016, 2016

Disfluency Detection Using a Bidirectional LSTM.
Proceedings of the Interspeech 2016, 2016

A Theme-Rewriting Approach for Generating Algebra Word Problems.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Diagram is Worth a Dozen Images.
Proceedings of the Computer Vision - ECCV 2016, 2016

A Task-Oriented Approach for Cost-Sensitive Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Multiplicative Representations for Unsupervised Semantic Role Induction.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Learning Prototypical Event Structure from Photo Albums.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Parsing Algebraic Word Problems into Equations.
Trans. Assoc. Comput. Linguistics, 2015

Unediting: Detecting Disfluencies Without Careful Transcripts.
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

Aligning Sentences from Standard Wikipedia to Simple Wikipedia.
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

Learning Knowledge Graphs for Question Answering through Conversational Dialog.
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

Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Solving Geometry Problems: Combining Text and Diagram Interpretation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Talking to the crowd: What do people react to in online discussions?
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Discriminative and consistent similarities in instance-level Multiple Instance Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Multi-domain disfluency and repair detection.
Proceedings of the INTERSPEECH 2014, 2014

Multi-Resolution Language Grounding with Weak Supervision.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Learning to Solve Arithmetic Word Problems with Verb Categorization.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Diagram Understanding in Geometry Questions.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Managing chaos: models of turn-taking in character-multichild interactions.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Joint Coreference Resolution and Named-Entity Linking with Multi-Pass Sieves.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Take or Wait? Learning Turn-Taking from Multiparty Data.
Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012
Semantic Understanding of Professional Soccer Commentaries.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Using Group History to Identify Character-Directed Utterances in Multi-Child Interactions.
Proceedings of the SIGDIAL 2012 Conference, 2012

Question Answering in Natural Language Narratives Using Symbolic Probabilistic Reasoning.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012

2011
Action-centered reasoning for probabilistic dynamic domains
PhD thesis, 2011

Reasoning about RoboCup Soccer Narratives.
Proceedings of the UAI 2011, 2011

Symbolic Probabilistic Reasoning for Narratives.
Proceedings of the Logical Formalizations of Commonsense Reasoning, 2011

Understanding Robocup-Soccer Narratives.
Proceedings of the Logical Formalizations of Commonsense Reasoning, 2011

2010
Adaptive near-duplicate detection via similarity learning.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Reasoning about Deterministic Actions with Probabilistic Prior and Application to Stochastic Filtering.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, 2010

2009
Greedy Algorithms for Sequential Sensing Decisions.
Proceedings of the IJCAI 2009, 2009

2008
Sampling First Order Logical Particles.
Proceedings of the UAI 2008, 2008

2007
Stochastic Filtering in a Probabilistic Action Model.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007


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