Inference Annotation of a Chinese Corpus for Opinion Mining

Liyun Yan, Danni E, Mei Gan, Cyril Grouin, Mathieu Valette


Abstract
Polarity classification (positive, negative or neutral opinion detection) is well developed in the field of opinion mining. However, existing tools, which perform with high accuracy on short sentences and explicit expressions, have limited success interpreting narrative phrases and inference contexts. In this article, we will discuss an important aspect of opinion mining: inference. We will give our definition of inference, classify different types, provide an annotation framework and analyze the annotation results. While inferences are often studied in the field of Natural-language understanding (NLU), we propose to examine inference as it relates to opinion mining. Firstly, based on linguistic analysis, we clarify what kind of sentence contains an inference. We define five types of inference: logical inference, pragmatic inference, lexical inference, enunciative inference and discursive inference. Second, we explain our annotation framework which includes both inference detection and opinion mining. In short, this manual annotation determines whether or not a target contains an inference. If so, we then define inference type, polarity and topic. Using the results of this annotation, we observed several correlation relations which will be used to determine distinctive features for automatic inference classification in further research. We also demonstrate the results of three preliminary classification experiments.
Anthology ID:
2020.lrec-1.614
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
4991–4999
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.614
DOI:
Bibkey:
Cite (ACL):
Liyun Yan, Danni E, Mei Gan, Cyril Grouin, and Mathieu Valette. 2020. Inference Annotation of a Chinese Corpus for Opinion Mining. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 4991–4999, Marseille, France. European Language Resources Association.
Cite (Informal):
Inference Annotation of a Chinese Corpus for Opinion Mining (Yan et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.614.pdf