Removing the Training Wheels: A Coreference Dataset that Entertains Humans and Challenges Computers
Code (0)
등록된 구현이 없습니다.
Tasks
Active LearningArticlescoreference-resolutionCoreference ResolutionSentenceTAGWorld KnowledgeSimilar Papers 제목 키워드 기반
Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs
Human smuggling networks are increasingly adaptive and difficult to analyze. Legal case documents offer critical insights but are often unstructured, lexically dense, and filled with ambiguous or shifting references, whi…
Coreference ResolutionKnowledge GraphsThe Knowref Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution
We introduce a new benchmark for coreference resolution and NLI, Knowref, that targets common-sense understanding and world knowledge. Previous coreference resolution tasks can largely be solved by exploiting the number …
Common Sense Reasoningcoreference-resolutionCoreference ResolutionData Augmentation+2On Generalization in Coreference Resolution
While coreference resolution is defined independently of dataset domain, most models for performing coreference resolution do not transfer well to unseen domains. We consolidate a set of 8 coreference resolution datasets…
coreference-resolutionCoreference ResolutionData AugmentationSleepyWheels: An Ensemble Model for Drowsiness Detection leading to Accident Prevention
Around 40 percent of accidents related to driving on highways in India occur due to the driver falling asleep behind the steering wheel. Several types of research are ongoing to detect driver drowsiness but they suffer f…
Train Tracks with Gaps: Applying the Probabilistic Method to Trains
We identify a tradeoff curve between the number of wheels on a train car, and the amount of track that must be installed in order to ensure that the train car is supported by the track at all times. The goal is to build …