NLPExplorer

Peter Clark

Number of Papers:- 64

Number of Citations:- 218

First ACL Paper:- 2003

Latest ACL Paper:- 2022

Venues:-

*SEMEVAL

STEP

NAACL

ACL

LREC

EMNLP

Findings

CSRR

CoNLL

TACL

COLING

Co-Authors:-

Abby Vander Linden

Abhilasha Ravichander

Abhinav Kumar

Aju Thalappillil Scaria

Aman Madaan

Similar Authors:-

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks ACL

CURIE: An Iterative Querying Approach for Reasoning About Situations ACL CSRR

Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback Findings NAACL

Niket Tandon | Aman Madaan | Peter Clark | Yiming Yang |

DREAM: Improving Situational QA by First Elaborating the Situation NAACL

Yuling Gu | Bhavana Dalvi | Peter Clark |

Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning EMNLP

Oyvind Tafjord | Bhavana Dalvi Mishra | Peter Clark |

Memory-assisted prompt editing to improve GPT-3 after deployment EMNLP

Aman Madaan | Niket Tandon | Peter Clark | Yiming Yang |

LILA: A Unified Benchmark for Mathematical Reasoning EMNLP

Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement EMNLP

Bhavana Dalvi Mishra | Oyvind Tafjord | Peter Clark |

What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment EMNLP

Matthew Finlayson | Kyle Richardson | Ashish Sabharwal | Peter Clark |

Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models NAACL

BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of Belief EMNLP

Nora Kassner | Oyvind Tafjord | Hinrich Schütze | Peter Clark |

Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP

How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI EMNLP

proScript: Partially Ordered Scripts Generation EMNLP Findings

Explaining Answers with Entailment Trees EMNLP

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language Findings

Oyvind Tafjord | Bhavana Dalvi | Peter Clark |

A Dataset for Tracking Entities in Open Domain Procedural Text EMNLP

UNIFIEDQA: Crossing Format Boundaries with a Single QA System EMNLP Findings

Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering EMNLP

Harsh Jhamtani | Peter Clark |

What-if I ask you to explain: Explaining the effects of perturbations in procedural text EMNLP Findings

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams LREC

What’s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering EMNLP

Tushar Khot | Ashish Sabharwal | Peter Clark |

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text EMNLP

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions EMNLP

Oyvind Tafjord | Matt Gardner | Kevin Lin | Peter Clark |

WIQA: A dataset for “What if...” reasoning over procedural text EMNLP

Reasoning Over Paragraph Effects in Situations EMNLP WS

Kevin Lin | Oyvind Tafjord | Peter Clark | Matt Gardner |

Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing EMNLP WS

Simon Ostermann | Sheng Zhang | Michael Roth | Peter Clark |

Commonsense Inference in Natural Language Processing (COIN) - Shared Task Report EMNLP WS

Simon Ostermann | Sheng Zhang | Michael Roth | Peter Clark |

Be Consistent! Improving Procedural Text Comprehension using Label Consistency NAACL

Exploiting Explicit Paths for Multi-hop Reading Comprehension ACL

Souvik Kundu | Tushar Khot | Ashish Sabharwal | Peter Clark |

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge EMNLP

Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering EMNLP

Todor Mihaylov | Peter Clark | Tushar Khot | Ashish Sabharwal |

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models EMNLP

Dongyeop Kang | Tushar Khot | Ashish Sabharwal | Peter Clark |

Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension NAACL

Framing QA as Building and Ranking Intersentence Answer Justifications CL

Peter Jansen | Rebecca Sharp | Mihai Surdeanu | Peter Clark |

Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification CoNLL

Answering Complex Questions Using Open Information Extraction ACL

Tushar Khot | Ashish Sabharwal | Peter Clark |

Domain-Targeted, High Precision Knowledge Extraction TACL

Bhavana Dalvi Mishra | Niket Tandon | Peter Clark |

What’s in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams COLING

Peter Jansen | Niranjan Balasubramanian | Mihai Surdeanu | Peter Clark |

Creating Causal Embeddings for Question Answering with Minimal Supervision EMNLP

Cross Sentence Inference for Process Knowledge EMNLP

IKE - An Interactive Tool for Knowledge Extraction WS

Exploring Markov Logic Networks for Question Answering EMNLP

Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge EMNLP

Yang Li | Peter Clark |

Spinning Straw into Gold: Using Free Text to Train Monolingual Alignment Models for Non-factoid Question Answering NAACL

Rebecca Sharp | Peter Jansen | Mihai Surdeanu | Peter Clark |

Learning Knowledge Graphs for Question Answering through Conversational Dialog NAACL

Ben Hixon | Peter Clark | Hannaneh Hajishirzi |

Higher-order Lexical Semantic Models for Non-factoid Answer Reranking TACL

evision PDF of 'Modeling Biological Processes for Reading Comprehension EMNLP

Discourse Complements Lexical Semantics for Non-factoid Answer Reranking ACL

Peter Jansen | Mihai Surdeanu | Peter Clark |

Semi-Markov Phrase-Based Monolingual Alignment EMNLP

Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch | Peter Clark |

Learning Biological Processes with Global Constraints EMNLP

Answer Extraction as Sequence Tagging with Tree Edit Distance NAACL

Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch | Peter Clark |

Automatic Coupling of Answer Extraction and Information Retrieval ACL

Xuchen Yao | Benjamin Van Durme | Peter Clark |

A Lightweight and High Performance Monolingual Word Aligner ACL

Xuchen Yao | Benjamin Van Durme | Chris Callison-Burch | Peter Clark |

SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge *SEMEVAL

From Textual Entailment to Knowledgeable Machines WS

Peter Clark |

Constructing a Textual KB from a Biology TextBook WS

Peter Clark | Phil Harrison | Niranjan Balasubramanian | Oren Etzioni |

Exploiting Paraphrases and Deferred Sense Commitment to Interpret Questions more Reliably COLING

Peter Clark | Phil Harrison |

NAACL HLT 2010 Tutorial Abstracts NAACL

Jason Baldwin | Peter Clark | Gokhan Tur |

Machine Reading as a Process of Partial Question-Answering WS

Peter Clark | Phil Harrison |

Augmenting WordNet for Deep Understanding of Text STEP WS

Boeing’s NLP System and the Challenges of Semantic Representation STEP WS

Peter Clark | Phil Harrison |

On the Role of Lexical and World Knowledge in RTE3 WS

A knowledge-driven approach to text meaning processing WS

Peter Clark | Phil Harrison | John Thompson |