DisSent: Learning Sentence Representations from Explicit Discourse Relations
Table 6: SentEval Task Results Using Fixed Sentence Encoder. We report the best results for generalization tasks. † indicates models that we trained. FastSent, FastSent + AE Hill et al. (2016), SkipThought Kiros et al. (2015), SkipThought-LN, DictRep (bow), and InferSent are reported from Conneau et al. (2017). LSMTL is reported from Subramanian et al. (2018). Globally best results are shown in bold, best DisSent results are underlined.
['Model', 'MR', 'CR', 'SUBJ', 'MPQA', 'SST', 'TREC', 'SICK-R', 'SICK-E', 'MRPC']
Similar generalization performance was achieved when training on 5, 8, and all 15 discourse markers.