SigmaLaw-ABSA: Dataset for Aspect-Based Sentiment Analysis in Legal Opinion Texts

11/12/2020
by   Chanika Ruchini Mudalige, et al.
0

Aspect-Based Sentiment Analysis (ABSA) has been prominent and ongoing research over many different domains, but it is not widely discussed in the legal domain. A number of publicly available datasets for a wide range of domains usually fulfill the needs of researchers to perform their studies in the field of ABSA. To the best of our knowledge, there is no publicly available dataset for the Aspect (Party) Based Sentiment Analysis for legal opinion texts. Therefore, creating a publicly available dataset for the research of ABSA for the legal domain can be considered as a task with significant importance. In this study, we introduce a manually annotated legal opinion text dataset (SigmaLaw-ABSA) intended towards facilitating researchers for ABSA tasks in the legal domain. SigmaLaw-ABSA consists of legal opinion texts in the English language which have been annotated by human judges. This study discusses the sub-tasks of ABSA relevant to the legal domain and how to use the dataset to perform them. This paper also describes the statistics of the dataset and as a baseline, we present some results on the performance of some existing deep learning based systems on the SigmaLaw-ABSA dataset.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

11/11/2020

Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts

A document which elaborates opinions and arguments related to the previo...
10/31/2020

Effective Approach to Develop a Sentiment Annotator For Legal Domain in a Low Resource Setting

Analyzing the sentiments of legal opinions available in Legal Opinion Te...
11/10/2019

Searching for Legal Clauses by Analogy. Few-shot Semantic Retrieval Shared Task

We introduce a novel shared task for semantic retrieval from legal texts...
09/08/2021

TrollsWithOpinion: A Dataset for Predicting Domain-specific Opinion Manipulation in Troll Memes

Research into the classification of Image with Text (IWT) troll memes ha...
10/21/2019

The Czech Court Decisions Corpus (CzCDC): Availability as the First Step

In this paper, we describe the Czech Court Decision Corpus (CzCDC). CzCD...
01/19/2022

Expert Finding in Legal Community Question Answering

Expert finding has been well-studied in community question answering (QA...
08/23/2021

VerbCL: A Dataset of Verbatim Quotes for Highlight Extraction in Case Law

Citing legal opinions is a key part of legal argumentation, an expert ta...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.