3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in bridging-anaphora-resolution-8
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Use these libraries to find bridging-anaphora-resolution-8 models and implementations
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A question answering framework (BARQA) is presented for bridging anaphora resolution, which leverages the power of transfer learning and a novel method to generate a large amount of “quasi-bridging” training data is proposed.
This work probes pre-trained transformer language models for bridging inference in BERT and shows that the distance between anaphor-antecedent and the context provided to language models play an important role in the inference.
Adding a benchmark result helps the community track progress.