Sentence Pair Modeling
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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).
FEATURE ENGINEERING SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
In this paper, we analyze several neural network designs (and their variations) for sentence pair modeling and compare their performance extensively across eight datasets, including paraphrase identification, semantic textual similarity, natural language inference, and question answering tasks.
NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING READING COMPREHENSION SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING
Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering
In this paper, we analyze several neural network designs (and their variations) for sentence pair modeling and compare their performance extensively across eight datasets, including paraphrase identification, semantic textual similarity, natural language inference, and question answering tasks.
NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING
Character-Based Neural Networks for Sentence Pair Modeling
Sentence pair modeling is critical for many NLP tasks, such as paraphrase identification, semantic textual similarity, and natural language inference.
MACHINE TRANSLATION MULTI-TASK LEARNING NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING WORD EMBEDDINGS
Inter-Weighted Alignment Network for Sentence Pair Modeling
Sentence pair modeling is a crucial problem in the field of natural language processing.
MACHINE TRANSLATION NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION QUESTION ANSWERING RELATION CLASSIFICATION SEMANTIC COMPOSITION SEMANTIC TEXTUAL SIMILARITY SENTENCE PAIR MODELING WORD EMBEDDINGS
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.
COMMUNITY QUESTION ANSWERING RELATIONAL REASONING SENTENCE PAIR MODELING
Neural-based Context Representation Learning for Dialog Act Classification
We explore context representation learning methods in neural-based models for dialog act classification.
DIALOG ACT CLASSIFICATION MACHINE TRANSLATION QUESTION ANSWERING REPRESENTATION LEARNING SENTENCE CLASSIFICATION SENTENCE PAIR MODELING SPEECH RECOGNITION