Paraphrase Detection and Generation

Module: Natural Language Processing | Difficulty: Advanced

Semantic Textual Similarity

Paraphrase Detection

Evaluation (MRPC)

Paraphrase Generation

import torch
import torch.nn as nn

class ParaphraseDetector(nn.Module):
    def __init__(self, bert_model):
        super().__init__()
        self.bert = bert_model
        self.classifier = nn.Linear(768, 2)
    def forward(self, input_ids, attention_mask):
        outputs = self.bert(input_ids, attention_mask=attention_mask)
        cls_output = outputs.last_hidden_state[:, 0]
        return self.classifier(cls_output)

Research Insight: Paraphrase detection is easier than generation because it only requires binary classification. The challenge is distinguishing between semantic similarity and true paraphrasing. Contrastive learning improves paraphrase detection by learning better similarity metrics.