Corpus ID: 13507301

Sentence Pair Scoring: Towards Unified Framework for Text Comprehension

@inproceedings{Baudivs2016SentencePS,
  title={Sentence Pair Scoring: Towards Unified Framework for Text Comprehension},
  author={Petr Baudivs and Jan Pichl and Tom'avs Vyskovcil and Jan vSediv'y},
  year={2016}
}
  • Petr Baudivs, Jan Pichl, +1 author Jan vSediv'y
  • Published 2016
  • Computer Science
  • We review the task of Sentence Pair Scoring, popular in the literature in various forms — viewed as Answer Sentence Selection, Semantic Text Scoring, Next Utterance Ranking, Recognizing Textual Entailment, Paraphrasing or e.g. a component of Memory Networks. We argue that all such tasks are similar from the model perspective and propose new baselines by comparing the performance of common IR metrics and popular convolutional, recurrent and attentionbased neural models across many Sentence Pair… CONTINUE READING
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    References

    SHOWING 1-10 OF 36 REFERENCES
    Deep Learning for Answer Sentence Selection
    • 325
    • Highly Influential
    • PDF
    Skip-Thought Vectors
    • 1,605
    • PDF
    SemEval-2015 Task 2: Semantic Textual Similarity, English, Spanish and Pilot on Interpretability
    • 280
    • PDF
    Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems
    • 147
    • PDF
    WikiQA: A Challenge Dataset for Open-Domain Question Answering
    • 488
    • PDF
    Denoising Bodies to Titles: Retrieving Similar Questions with Recurrent Convolutional Models
    • 12
    • PDF
    Siamese Recurrent Architectures for Learning Sentence Similarity
    • 495
    • PDF
    Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
    • 285
    • PDF
    LSTM-based Deep Learning Models for non-factoid answer selection
    • 332
    • Highly Influential
    • PDF