ECNU at MC2 2018 Task 2: Mining opinion argumentation

Jie Zhou; Qi Zhang; Qinmin Hu; Liang He

ECNU at MC2 2018 Task 2: Mining opinion argumentation

Jie Zhou
, Qi Zhang
, Qinmin Hu
, Liang He

School of Computer Science and Technology

East China Normal University

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper describes our participation in MC2 2018 task2: mining opinion argumentation. We build a tweet retrieval system, which is mainly composed by four parts: data preprocessing, retrieval, redundancy detection and reranking. Only the highly relevant and argumen-tive tweets are sent to the user based on the topics. In addition, three state-of-the-art information retrieval models as BB2 model, PL2 model and DFR model are utilized. The retrieval results are combined for final delivery.

Original language	English
Journal	CEUR Workshop Proceedings
Volume	2125
State	Published - 2018
Event	19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018 - Avignon, France Duration: 10 Sep 2018 → 14 Sep 2018

Keywords

Argumentative ranking
Opinion argumentation
Retrieval

Cite this

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title = "ECNU at MC2 2018 Task 2: Mining opinion argumentation",

abstract = "This paper describes our participation in MC2 2018 task2: mining opinion argumentation. We build a tweet retrieval system, which is mainly composed by four parts: data preprocessing, retrieval, redundancy detection and reranking. Only the highly relevant and argumen-tive tweets are sent to the user based on the topics. In addition, three state-of-the-art information retrieval models as BB2 model, PL2 model and DFR model are utilized. The retrieval results are combined for final delivery.",

keywords = "Argumentative ranking, Opinion argumentation, Retrieval",

author = "Jie Zhou and Qi Zhang and Qinmin Hu and Liang He",

year = "2018",

language = "英语",

volume = "2125",

journal = "CEUR Workshop Proceedings",

issn = "1613-0073",

publisher = "CEUR-WS",

note = "19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018 ; Conference date: 10-09-2018 Through 14-09-2018",

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TY - JOUR

T1 - ECNU at MC2 2018 Task 2

T2 - 19th Working Notes of CLEF Conference and Labs of the Evaluation Forum, CLEF 2018

AU - Zhou, Jie

AU - Zhang, Qi

AU - Hu, Qinmin

AU - He, Liang

PY - 2018

Y1 - 2018

N2 - This paper describes our participation in MC2 2018 task2: mining opinion argumentation. We build a tweet retrieval system, which is mainly composed by four parts: data preprocessing, retrieval, redundancy detection and reranking. Only the highly relevant and argumen-tive tweets are sent to the user based on the topics. In addition, three state-of-the-art information retrieval models as BB2 model, PL2 model and DFR model are utilized. The retrieval results are combined for final delivery.

AB - This paper describes our participation in MC2 2018 task2: mining opinion argumentation. We build a tweet retrieval system, which is mainly composed by four parts: data preprocessing, retrieval, redundancy detection and reranking. Only the highly relevant and argumen-tive tweets are sent to the user based on the topics. In addition, three state-of-the-art information retrieval models as BB2 model, PL2 model and DFR model are utilized. The retrieval results are combined for final delivery.

KW - Argumentative ranking

KW - Opinion argumentation

KW - Retrieval

UR - https://www.scopus.com/pages/publications/85051082330

M3 - 会议文章

AN - SCOPUS:85051082330

SN - 1613-0073

VL - 2125

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

Y2 - 10 September 2018 through 14 September 2018

ER -

ECNU at MC2 2018 Task 2: Mining opinion argumentation

Abstract

Keywords

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