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01/31/2023
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation
State-of-the-art neural text generation models are typically trained to ...
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10/14/2021
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling
Although large-scale pre-trained neural models have shown impressive per...
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10/15/2020
Pronoun-Targeted Fine-tuning for NMT with Hybrid Losses
Popular Neural Machine Translation model training uses strategies like b...
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04/30/2020
CohEval: Benchmarking Coherence Models
Although coherence modeling has come a long way in developing novel mode...
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04/30/2020
Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation
Despite increasing instances of machine translation (MT) systems includi...
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11/22/2019
Zero-Resource Cross-Lingual Named Entity Recognition
Recently, neural methods have achieved state-of-the-art (SOTA) results i...
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08/31/2019
Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite
The ongoing neural revolution in machine translation has made it easier ...
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05/14/2019