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Dataset used for paper query-bag matching in CIKM2019.

text-matching question-ans natural-language-processing cikm2019

query-bag-matching-cikm's Introduction

Query-Bag-Matching-CIKM

This repo contains the composed Quora dataset for the short paper "Query-bag Matching]{Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce" in CIKM 2019. It also contains the detailed experiments of this paper.

An Example of Alime

  • An example of the query-bag pair and the corresponding answer.
  • User query:
  • 怎么电话小二? (How to call you?)
  • Bag (Pre-defined questions):
  • 怎么联系你们? (How to contact you?)
  • 客服热线是多少? (What's the hotline?)
  • Answer:
  • 电话是123456 (The phone number is 123456.)

Composed Quora Dataset

Experiment Setup

Data

  • max sequence length: 20

hCNN

Convolution2d for cross-attention matrix

  • Conv1: kernel size 6 ; num output 8 ; stride 1 ; paddding "SAME" ; activation Relu ;
  • Max pooling1: pool size 4,4 ; stride 4 ; padding "SAME"
  • Conv2: kernel size 4 ; num output 16 ; stride 3 ; paddding "SAME" ; activation Relu ;
  • Max pooling2: pool size 2,2 ; stride 2 ; padding "SAME"

Convolution1d for query and question

  • filters 100 ; kernel size 2/3/4 ; max pooling pool size 20-kernel_size + 1 ; max pooling stride 1

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