Error-Driven Learning of Chinese Word Segmentation. - Julia Hockenmaier; Chris Brew (PACLIC, 1998)

Statistical Parsing for CCG with Simple Generative Models. - Julia Hockenmaier (ACL (Companion Volume), 2001)

Building Deep Dependency Structures using a Wide-Coverage CCG Parser. - Stephen Clark; Julia Hockenmaier; Mark Steedman (ACL, 2002)

Generative Models for Statistical Parsing with Combinatory Categorial Grammar. - Julia Hockenmaier; Mark Steedman (ACL, 2002)

Acquiring Compact Lexicalized Grammars from a Cleaner Treebank. - Julia Hockenmaier; Mark Steedman (LREC, 2002)

Parsing with Generative Models of Predicate-Argument Structure. - Julia Hockenmaier (ACL, 2003)

Bootstrapping statistical parsers from small datasets. - Mark Steedman; Anoop Sarkar; Miles Osborne; Rebecca Hwa; Stephen Clark; Julia Hockenmaier; Paul Ruhlen; Steven Baker; Jeremiah Crim (EACL, 2003)

Identifying Semantic Roles Using Combinatory Categorial Grammar. - Daniel Gildea; Julia Hockenmaier (EMNLP, 2003)

Example Selection for Bootstrapping Statistical Parsers. - Mark Steedman; Rebecca Hwa; Stephen Clark; Miles Osborne; Anoop Sarkar; Julia Hockenmaier; Paul Ruhlen; Steven Baker; Jeremiah Crim (HLT-NAACL, 2003)

Wide-Coverage Semantic Representations from a CCG Parser. - Johan Bos; Stephen Clark; Mark Steedman; James R. Curran; Julia Hockenmaier (COLING, 2004)

Creating a CCGbank and a Wide-Coverage CCG Lexicon for German. - Julia Hockenmaier (ACL, 2006)

Protein folding and chart parsing. - Julia Hockenmaier; Aravind K. Joshi; Ken A. Dill (EMNLP, 2006)

Priming Effects in Combinatory Categorial Grammar. - David Reitter; Julia Hockenmaier; Frank Keller (EMNLP, 2006)

The Impact of Deep Linguistic Processing on Parsing Technology. - Timothy Baldwin; Mark Dras; Julia Hockenmaier; Tracy Holloway King; Gertjan van Noord (IWPT, 2007)

CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank. - Julia Hockenmaier; Mark Steedman (Comput. Linguistics, 2007)

Non-local scrambling: the equivalence of TAG and CCG revisited. - Julia Hockenmaier; Peter Young 001 (TAG, 2008)

Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising. - Julia Hockenmaier; Yonatan Bisk (COLING, 2010)

Shallow Information Extraction from Medical Forum Data. - Parikshit Sondhi; Manish Gupta 001; ChengXiang Zhai; Julia Hockenmaier (COLING (Posters), 2010)

Citation Author Topic Model in Expert Search. - Yuancheng Tu; Nikhil Johri; Dan Roth 001; Julia Hockenmaier (COLING (Posters), 2010)

Cross-Caption Coreference Resolution for Automatic Image Understanding. - Micah Hodosh; Peter Young 001; Cyrus Rashtchian; Julia Hockenmaier (CoNLL, 2010)

Every Picture Tells a Story: Generating Sentences from Images. - Ali Farhadi; Seyyed Mohammad Mohsen Hejrati; Mohammad Amin Sadeghi; Peter Young 001; Cyrus Rashtchian; Julia Hockenmaier; David A. Forsyth (ECCV (4), 2010)

Collecting Image Annotations Using Amazon's Mechanical Turk. - Cyrus Rashtchian; Peter Young 001; Micah Hodosh; Julia Hockenmaier (Mturk@HLT-NAACL, 2010)

The Future Role of Language Resources for Natural Language Parsing (We Won't Be Able to Rely on Pierre Vinken Rorever... or Will We Have to?). - Julia Hockenmaier (PACLIC, 2010)

Reasoning about RoboCup Soccer Narratives. - Hannaneh Hajishirzi; Julia Hockenmaier; Erik T. Mueller; Eyal Amir (UAI, 2011)

Simple Robust Grammar Induction with Combinatory Categorial Grammars. - Yonatan Bisk; Julia Hockenmaier (AAAI, 2012)

Beefmoves: Dissemination, Diversity, and Dynamics of English Borrowings in a German Hip Hop Forum. - Matt Garley; Julia Hockenmaier (ACL (2), 2012)

ETM: Entity Topic Models for Mining Documents Associated with Entities. - Hyungsul Kim; Yizhou Sun; Julia Hockenmaier; Jiawei Han 001 (ICDM, 2012)

Sentence-Based Image Description with Scalable, Explicit Models. - Micah Hodosh; Julia Hockenmaier (CVPR Workshops, 2013)

Structural Parse Tree Features for Text Representation. - Sean Massung; Chengxiang Zhai; Julia Hockenmaier (ICSC, 2013)

Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics. - Micah Hodosh; Peter Young 001; Julia Hockenmaier (J. Artif. Intell. Res., 2013)

An HDP Model for Inducing Combinatory Categorial Grammars. - Yonatan Bisk; Julia Hockenmaier (Trans. Assoc. Comput. Linguistics, 2013)

Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections. - Yunchao Gong; Liwei Wang 009; Micah Hodosh; Julia Hockenmaier; Svetlana Lazebnik (ECCV (4), 2014)

Illinois-LH: A Denotational and Distributional Approach to Semantics. - Alice Lai; Julia Hockenmaier (SemEval@COLING, 2014)

From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions. - Peter Young 001; Alice Lai; Micah Hodosh; Julia Hockenmaier (Trans. Assoc. Comput. Linguistics, 2014)

Labeled Grammar Induction with Minimal Supervision. - Yonatan Bisk; Christos Christodoulopoulos 001; Julia Hockenmaier (ACL (2), 2015)

Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction. - Yonatan Bisk; Julia Hockenmaier (ACL (1), 2015)

Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics (Extended Abstract). - Micah Hodosh; Peter Young 001; Julia Hockenmaier (IJCAI, 2015)

Focused Evaluation for Image Description with Binary Forced-Choice Tasks. - Micah Hodosh; Julia Hockenmaier (VL@ACL, 2016)

Evaluating Induced CCG Parsers on Grounded Semantic Parsing. - Yonatan Bisk; Siva Reddy; John Blitzer; Julia Hockenmaier; Mark Steedman (EMNLP, 2016)

Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues. - Bryan A. Plummer; Arun Mallya; Christopher M. Cervantes; Julia Hockenmaier; Svetlana Lazebnik (CoRR, 2016)

Towards Problem Solving Agents that Communicate and Learn. - Anjali Narayan-Chen; Colin Graber; Mayukh Das; Md. Rakibul Islam 001; Soham Dan; Sriraam Natarajan; Janardhan Rao Doppa; Julia Hockenmaier; Martha Palmer; Dan Roth 001 (RoboNLP@ACL, 2017)

Learning to Predict Denotational Probabilities For Modeling Entailment. - Alice Lai; Julia Hockenmaier (EACL (1), 2017)

Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues. - Bryan A. Plummer; Arun Mallya; Christopher M. Cervantes; Julia Hockenmaier; Svetlana Lazebnik (ICCV, 2017)

Natural Language Inference from Multiple Premises. - Alice Lai; Yonatan Bisk; Julia Hockenmaier (IJCNLP(1), 2017)

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. - Bryan A. Plummer; Liwei Wang 009; Chris M. Cervantes; Juan C. Caicedo; Julia Hockenmaier; Svetlana Lazebnik (Int. J. Comput. Vis., 2017)

Collaborative Dialogue in Minecraft. - Anjali Narayan-Chen; Prashant Jayannavar; Julia Hockenmaier (ACL (1), 2019)

Phrase Grounding by Soft-Label Chain Conditional Random Field. - Jiacheng Liu 004; Julia Hockenmaier (EMNLP/IJCNLP (1), 2019)

A Multi-Perspective Architecture for Semantic Code Search. - Rajarshi Haldar; Lingfei Wu 001; Jinjun Xiong; Julia Hockenmaier (ACL, 2020)

Learning to execute instructions in a Minecraft dialogue. - Prashant Jayannavar; Anjali Narayan-Chen; Julia Hockenmaier (ACL, 2020)

University of Illinois Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. - Marc E. Canby; Aidana Karipbayeva; Bryan Lunt; Sahand Mozaffari; Charlotte Yoder; Julia Hockenmaier (SIGMORPHON, 2020)

HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction. - Liliang Ren; Chenkai Sun; Heng Ji 001; Julia Hockenmaier (ACL/IJCNLP (Findings), 2021)

Human-guided Collaborative Problem Solving: A Natural Language based Framework. - Harsha Kokel; Mayukh Das; Md. Rakibul Islam 001; Julia Bonn; Jon Z. Cai; Soham Dan; Anjali Narayan-Chen; Prashant Jayannavar; Janardhan Rao Doppa; Julia Hockenmaier; Sriraam Natarajan; Martha Palmer; et al. (CoRR, 2022)

Multimedia Generative Script Learning for Task Planning. - Qingyun Wang 005; Manling Li; Hou Pong Chan; Lifu Huang; Julia Hockenmaier; Girish Chowdhary 001; Heng Ji 001 (ACL (Findings), 2023)

A Framework for Bidirectional Decoding: Case Study in Morphological Inflection. - Marc E. Canby; Julia Hockenmaier (EMNLP (Findings), 2023)

SIR-ABSC: Incorporating Syntax into RoBERTa-based Sentiment Analysis Models with a Special Aggregator Token. - Ikhyun Cho; Yoonhwa Jung; Julia Hockenmaier (EMNLP (Findings), 2023)

Analyzing the Performance of Large Language Models on Code Summarization. - Rajarshi Haldar; Julia Hockenmaier (LREC/COLING, 2024)

Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance. - Ikhyun Cho; Gaeul Kwon; Julia Hockenmaier (EMNLP (Findings), 2024)

Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization. - Yoonhwa Jung; Ikhyun Cho; Shun-Hsiang Hsu; Julia Hockenmaier (CoRR, 2024)

ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers. - Ikhyun Cho; Changyeon Park; Julia Hockenmaier (CoRR, 2024)

Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions. - Marc E. Canby; Adam Davies; Chirag Rastogi; Julia Hockenmaier (CoRR, 2024)

Human in the Loop Learning through Grounded Interaction in Games (Dagstuhl Perspectives Workshop 24492). - Raffaella Bernardi; Julia Hockenmaier; Udo Kruschwitz; Prashant Jayannavar; Massimo Poesio (Dagstuhl Reports, 2024)

Entailment-Preserving First-order Logic Representations in Natural Language Entailment. - Jinu Lee; Qi Liu; Runzhi Ma; Vincent Han; Ziqi Wang 003; Heng Ji 001; Julia Hockenmaier (ACL (1), 2025)

The Power of Bullet Lists: A Simple Yet Effective Prompting Approach to Enhancing Spatial Reasoning in Large Language Models. - Ikhyun Cho; Changyeon Park; Julia Hockenmaier (NAACL (Findings), 2025)

BAP v2: An Enhanced Task Framework for Instruction Following in Minecraft Dialogues. - Prashant Jayannavar; Liliang Ren; Marisa Hudspeth; Charlotte Lambert; Ariel Cordes; Elizabeth Kaplan; Anjali Narayan-Chen; Julia Hockenmaier (CoRR, 2025)

Evaluating Step-by-step Reasoning Traces: A Survey. - Jinu Lee; Julia Hockenmaier (CoRR, 2025)

RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning. - Jerry Huang; Siddarth Madala; Risham Sidhu; Cheng Niu; Julia Hockenmaier; Tong Zhang 001 (CoRR, 2025)

Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators. - Seungone Kim; Ian Wu; Jinu Lee; Xiang Yue; Seongyun Lee; Mingyeong Moon; Kiril Gashteovski; Carolin Lawrence; Julia Hockenmaier; Graham Neubig; Sean Welleck (CoRR, 2025)

Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality. - Sewoong Lee; Adam Davies; Marc E. Canby; Julia Hockenmaier (CoRR, 2025)

ReasoningFlow: Semantic Structure of Complex Reasoning Traces. - Jinu Lee; Sagnik Mukherjee; Dilek Hakkani-Tur; Julia Hockenmaier (CoRR, 2025)