Sentence Pair Modeling
6 papers with code • 0 benchmarks • 0 datasets
Comparing two sentences and their relationship based on their internal representation.
Benchmarks
These leaderboards are used to track progress in Sentence Pair Modeling
Latest papers with no code
Template-based Approach to Zero-shot Intent Recognition
We outperform previous state-of-the-art f1-measure by up to 16\% for unseen intents, using intent labels and user utterances and without accessing external sources (such as knowledge bases).
Rule-based vs. Neural Net Approaches to Semantic Textual Similarity
This paper presents a neural net approach to determine Semantic Textual Similarity (STS) using attention-based bidirectional Long Short-Term Memory Networks (Bi-LSTM).
Inter-Weighted Alignment Network for Sentence Pair Modeling
Sentence pair modeling is a crucial problem in the field of natural language processing.
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering
This paper describes the KeLP system participating in the SemEval-2017 community Question Answering (cQA) task.
