Semi-Markov Phrase-Based Monolingual Alignment
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Machine TranslationNatural Language InferenceParaphrase IdentificationQuestion AnsweringWord AlignmentSimilar Papers 제목 키워드 기반
Neural semi-Markov CRF for Monolingual Word Alignment
Monolingual word alignment is important for studying fine-grained editing operations (i.e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphrase generation, text simplification, neut…
Paraphrase GenerationSentenceSentence-Pair ClassificationText Generation+2SAPPHIRE: Simple Aligner for Phrasal Paraphrase with Hierarchical Representation
We present SAPPHIRE, a Simple Aligner for Phrasal Paraphrase with HIerarchical REpresentation. Monolingual phrase alignment is a fundamental problem in natural language understanding and also a crucial technique in vario…
Natural Language InferenceNatural Language UnderstandingSemantic Textual SimilarityWord EmbeddingsMonolingual Phrase Alignment on Parse Forests
We propose an efficient method to conduct phrase alignment on parse forests for paraphrase detection. Unlike previous studies, our method identifies syntactic paraphrases under linguistically motivated grammar. In additi…
Semantic Textual SimilaritySentence EmbeddingsNeural Network Alignment for Sentential Paraphrases
We present a monolingual alignment system for long, sentence- or clause-level alignments, and demonstrate that systems designed for word- or short phrase-based alignment are ill-suited for these longer alignments. Our sy…
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