Sentence Pair Scoring: Towards Unified Framework for Text Comprehension

  title={Sentence Pair Scoring: Towards Unified Framework for Text Comprehension},
  author={Petr Baudis and Jan Sediv{\'y}},
We review the task of Sentence Pair Scoring, popular in the literature in various forms — slanted as Answer Sentence Selection, Paraphrasing, Semantic Text Scoring, Next Utterance Ranking, Recognizing Textual Entailment or e.g. a component of Memory Networks. We argue that such tasks are similar from the model perspective (especially in the context of high-capacity deep neural models) and propose new baselines by comparing the performance of popular convolutional, recurrent and attentionbased… CONTINUE READING
Recent Discussions
This paper has been referenced on Twitter 29 times over the past 90 days. VIEW TWEETS
0 Citations
34 References
Similar Papers


Publications referenced by this paper.

Similar Papers

Loading similar papers…